Alternatives to Stackable
Compare Stackable alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Stackable in 2025. Compare features, ratings, user reviews, pricing, and more from Stackable competitors and alternatives in order to make an informed decision for your business.
-
1
Hiro Game Development
Heroic Labs
Hiro is a client-server library built on the Nakama game server to rapidly and flexibly add economy, social, and LiveOps features to your game. It is available as a C# library for Unity Engine, a C++ library for Unreal Engine, and a server package that integrates with the game server. Hiro offers a comprehensive suite of battle-tested metagame features that are quick to implement, allowing developers to focus more on the core gameplay experience. Add base and loot table rewards for players to collect; integrate soft or real currency purchases; define stackable and consumable gameplay items; initialize and manage multiple currencies within the game economy. Adapt store bundles and offer walls based on player behavior; personalize various aspects of the player experience through experiments; schedule live events for players to participate in and earn exclusive rewards. Start and schedule timed or scored events with exclusive rewards; enable players to request and share inventory. -
2
Stackable
Stackable
Build fast professional-looking websites with Stackable’s lightweight, and feature-packed blocks. Enjoy all the web design essentials and more with Stackable. Whether you’re a web designer, agency, blogger, or beginner, we help you reach new heights in web design. Confidently create professional-looking websites with our ready-made designs and intuitive page-building tools. Cater to more clients and provide top-notch output in a fast, efficient, and effective way. Streamline your content creation process and grow your reach with blog and content marketing-friendly blocks. Bring to life your designs and give more value to your clients without any development experience. Over 150,000 amazing, lightning-fast websites are designed in Stackable. No matter what industry, our ready-made designs, extensive block collection, UI Kits, and more empower you to do more with WordPress. Find a design that’s perfect for you, your business, or your client.Starting Price: $49 per year -
3
Apache Druid
Druid
Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures. -
4
Propertybook
Propertybook
Propertybook NYC is the #1 Platform for NYC Real Estate Data. It is an industry-leading real estate research platform delivering unrivaled data to real estate professionals, helping them make informed decisions, quickly. We Track Every NYC Property, Condominium, and Cooperative, ensuring our clients have access to the most accurate and up-to-date NYC property and sales data available. Our stackable map layers supercharge research with instant geospatial insights. Real estate professionals use Propertybook to make informed decisions including but not limited to appraisers, brokers, developers, investors, property owners, lenders, and attorneys.Starting Price: $75/month/user -
5
E-MapReduce
Alibaba
EMR is an all-in-one enterprise-ready big data platform that provides cluster, job, and data management services based on open-source ecosystems, such as Hadoop, Spark, Kafka, Flink, and Storm. Alibaba Cloud Elastic MapReduce (EMR) is a big data processing solution that runs on the Alibaba Cloud platform. EMR is built on Alibaba Cloud ECS instances and is based on open-source Apache Hadoop and Apache Spark. EMR allows you to use the Hadoop and Spark ecosystem components, such as Apache Hive, Apache Kafka, Flink, Druid, and TensorFlow, to analyze and process data. You can use EMR to process data stored on different Alibaba Cloud data storage service, such as Object Storage Service (OSS), Log Service (SLS), and Relational Database Service (RDS). You can quickly create clusters without the need to configure hardware and software. All maintenance operations are completed on its Web interface. -
6
Canvas Credentials
Instructure
Digital badging can be complex. Canvas Credentials makes it easy. Accelerate your goals with a solution that will validate competencies, drive engagement, improve completion, and increase enrollment. Increase student enrollment and retention rates while providing a seamless way for learners to record and share their validated skills and achievements with future employers. Canvas Credentials, the world’s most open and inclusive digital credentialing network. Join us in creating a more equitable world through verified achievements and skills. Seamlessly issue data-rich, shareable, and verifiable badges with Canvas Credentials, the only open digital credentialing solution with visual and stackable learning pathways. Able to integrate credentials from other platforms, learners curate & showcase skills & achievements while employers & educators verify & leverage skills data to meet education & workforce goals.Starting Price: Free -
7
BigLake
Google
BigLake is a storage engine that unifies data warehouses and lakes by enabling BigQuery and open-source frameworks like Spark to access data with fine-grained access control. BigLake provides accelerated query performance across multi-cloud storage and open formats such as Apache Iceberg. Store a single copy of data with uniform features across data warehouses & lakes. Fine-grained access control and multi-cloud governance over distributed data. Seamless integration with open-source analytics tools and open data formats. Unlock analytics on distributed data regardless of where and how it’s stored, while choosing the best analytics tools, open source or cloud-native over a single copy of data. Fine-grained access control across open source engines like Apache Spark, Presto, and Trino, and open formats such as Parquet. Performant queries over data lakes powered by BigQuery. Integrates with Dataplex to provide management at scale, including logical data organization.Starting Price: $5 per TB -
8
CelerData Cloud
CelerData
CelerData is a high-performance SQL engine built to power analytics directly on data lakehouses, eliminating the need for traditional data‐warehouse ingestion pipelines. It delivers sub-second query performance at scale, supports on-the‐fly JOINs without costly denormalization, and simplifies architecture by allowing users to run demanding workloads on open format tables. Built on the open source engine StarRocks, the platform outperforms legacy query engines like Trino, ClickHouse, and Apache Druid in latency, concurrency, and cost-efficiency. With a cloud-managed service that runs in your own VPC, you retain infrastructure control and data ownership while CelerData handles maintenance and optimization. The platform is positioned to power real-time OLAP, business intelligence, and customer-facing analytics use cases and is trusted by enterprise customers (including names such as Pinterest, Coinbase, and Fanatics) who have achieved significant latency reductions and cost savings. -
9
KAOSSILATOR PRO+
Korg
The Korg KAOSSILATOR PRO+ is a dynamic phrase synthesizer and loop recorder that allows users to create and perform multi-layered music across various genres with a simple touch of the X/Y touchpad. It features 250 sound programs, including 62 new additions, covering styles such as hip-hop, house, dubstep, and rock. The loop recording function supports up to four measures, enabling intuitive performance and track creation with four infinitely stackable loop banks. Users can set musical scales and keys to ensure accurate performances, and the gate arpeggiator function facilitates easy phrase control via a slider. The device includes line and mic inputs for recording external audio sources, and its USB MIDI capability allows it to function as a versatile MIDI controller. Additionally, the KAOSSILATOR PRO+ supports saving loop data and external WAV files on SD/SDHC cards, with dedicated editor software available for managing sample data and settings.Starting Price: $9.99 one-time payment -
10
Hercules
Leisure Holding
As the innovative leader in outdoor hospitality and campground technology and marketing solutions, Leisure Interactive has created a powerful property management front office solution Hercules™. Hercules is packed with features and capabilities that no other competitor has; i.e., supports multiple business customers and multiple business processes from one stackable online infrastructure, real-time consumption of inventory online and offline, and an efficient web interface for ease of use. This means reservation customers now have the ability to manage one or multiple businesses from one log-in and also easily manage the distribution of reservable inventory across multiple web portals, their own websites and reservation processing within their front office.Starting Price: $399 per month -
11
Apache Spark
Apache Software Foundation
Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources. -
12
OneAI
OneAI
Select from our library, fine-tune, or build your own capabilities to analyze and process text, audio and video at scale. Integrate advanced NLP into your app or workflow. Select from the library or build your own. Summarize, tag and analyze language with stackable, composable NLP building blocks, built on state-of-the-art models, all with a single API call. Build and fine-tune custom Language Skills with your data using our powerful Custom-Skill engine. Only 5% of the world's population speaks English as their native language. Most of One AI’s capabilities are multilingual. So whether you build a podcast platform, CRM, content publishing tool, or any other product, the language detection, processing, transcription, analytics, and comprehension capabilities are here.Starting Price: $0.2 per 1,000 words -
13
Votrite
Votrite
One of Votrite’s core missions is to provide a more inclusive and forward-thinking environment for people with disabilities. We put this goal at the forefront of our technology. Our systems will enable visually impaired people to effectively cast their vote while feeling like their voices will be heard. Every Votrite EVS is already ADA-compliant, no additional machine is necessary. Stop storing huge, antiquated, outdated machines and instead store small, lightweight, stackable all-in-ones. Or, even better, you can rent from Votrite and never have to store again. Supports the county voter-registration database and its integration with the state-wide database. Advise voters of the correct precinct and polling location. Record voting history and transmit required files to the state. -
14
DataStax
DataStax
The Open, Multi-Cloud Stack for Modern Data Apps. Built on open-source Apache Cassandra™. Global-scale and 100% uptime without vendor lock-in. Deploy on multi-cloud, on-prem, open-source, and Kubernetes. Elastic and pay-as-you-go for improved TCO. Start building faster with Stargate APIs for NoSQL, real-time, reactive, JSON, REST, and GraphQL. Skip the complexity of multiple OSS projects and APIs that don’t scale. Ideal for commerce, mobile, AI/ML, IoT, microservices, social, gaming, and richly interactive applications that must scale-up and scale-down with demand. Get building modern data applications with Astra, a database-as-a-service powered by Apache Cassandra™. Use REST, GraphQL, JSON with your favorite full-stack framework Richly interactive apps that are elastic and viral-ready from Day 1. Pay-as-you-go Apache Cassandra DBaaS that scales effortlessly and affordably. -
15
Aiven for Apache Kafka
Aiven
Apache Kafka as a fully managed service, with zero vendor lock-in and a full set of capabilities to build your streaming pipeline. Set up fully managed Kafka in less than 10 minutes — directly from our web console or programmatically via our API, CLI, Terraform provider or Kubernetes operator. Easily connect it to your existing tech stack with over 30 connectors, and feel confident in your setup with logs and metrics available out of the box via the service integrations. A fully managed distributed data streaming platform, deployable in the cloud of your choice. Ideal for event-driven applications, near-real-time data transfer and pipelines, stream analytics, and any other case where you need to move a lot of data between applications — and quickly. With Aiven’s hosted and managed-for-you Apache Kafka, you can set up clusters, deploy new nodes, migrate clouds, and upgrade existing versions — in a single mouse click — and monitor them through a simple dashboard.Starting Price: $200 per month -
16
REI/kit
REI/kit
Your business in a box with all of the software that you need for strong deal flow featuring a real estate wholesaling CRM with skip tracing, 5 outbound marketing channels including ChatGPT-enabled SMS and email generation, additional marketing automation including direct mail postcards, virtual phone for cold calling, and even ringless voicemail. Also includes 8 types of stackable motivated seller lead, inbound lead-generating websites, and data supported deal analysis with premium comps and ARV. REI/kit is virtual real estate wholesaling software for real estate wholesalers and house flippers that is trusted by thousands of real estate investors as an integral part of scaling their real estate investment systems. Use our skip-traced motivated seller leads with multiple points of contact info, or easily import your own from your favorite data source. Send those leads effective SmartText AI ChatGPT generated SMS text messages or emails, and automate it all.Starting Price: $64 per month -
17
Vello AI
Vello AI
Vello is the best way to work with AI, lightning fast, powerful, stackable, multi‑player AI chat that brings all the top models and human collaborators into one place. It supports web, mobile, and desktop, offering a fast, keyboard‑centric local experience. Vello combines models from OpenAI, Anthropic, Google, Facebook, Cohere, plus its own in‑house web and document models, enabling real‑time research with source quotes and citation, seamless document drafting, editing, and code iteration. Team spaces merge human and AI collaboration, allowing users to work side‑by‑side in shared spaces and chat rooms to execute tasks in real time. Users can create multiple AI personas, train them with files and documents (PDF, DOCX, code, CSV), and deploy them individually or in multi‑persona chat rooms, producing multi‑faceted workflows via round‑robin model responses.Starting Price: $17 per month -
18
MLlib
Apache Software Foundation
Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional MapReduce implementations. It is designed to operate across diverse environments, running on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or in the cloud, and accessing various data sources such as HDFS, HBase, and local files. This flexibility makes MLlib a robust solution for scalable and efficient machine learning tasks within the Apache Spark ecosystem. -
19
Amazon MSK
Amazon
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, you can use native Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications. Apache Kafka clusters are challenging to setup, scale, and manage in production. When you run Apache Kafka on your own, you need to provision servers, configure Apache Kafka manually, replace servers when they fail, orchestrate server patches and upgrades, architect the cluster for high availability, ensure data is durably stored and secured, setup monitoring and alarms, and carefully plan scaling events to support load changes.Starting Price: $0.0543 per hour -
20
SiteWhere
SiteWhere
SiteWhere infrastructure and microservices are deployed on Kubernetes, allowing for deployment on-premise or almost any cloud provider. Highly-available configurations of Apache Kafka, Zookeeper, and Hashicorp Consul provide infrastructure. Each microservice scales independently and integrates automatically. Complete multitenant IoT ecosystem including device management, event ingestion, big data event storage, REST APIs, data integration, and much more. Distributed architecture built with Java microservices running on Docker infrastructure with Apache Kafka processing pipeline. SiteWhere CE will always be open source and free for private as well as commercial use. The SiteWhere team offers free basic support and a steady stream of new features. -
21
kpt
kpt
kpt is a package-centric toolchain that enables a WYSIWYG configuration authoring, automation, and delivery experience, which simplifies managing Kubernetes platforms and KRM-driven infrastructure at scale by manipulating declarative configuration as data, separated from the code that transforms it. Most Kubernetes users either manage their resources using conventional imperative graphical user interfaces, command-line tools (kubectl), and automation (e.g., operators) that operate directly against Kubernetes APIs, or declarative configuration tools, such as Helm, Terraform, cdk8s, or one of the dozens of other tools. At a small scale, this is largely driven by preference and familiarity. As companies expand the number of Kubernetes development and production clusters they use, creating and enforcing consistent configurations and security policies across a growing environment becomes difficult. -
22
Equalum
Equalum
Equalum’s continuous data integration & streaming platform is the only solution that natively supports real-time, batch, and ETL use cases under one, unified platform with zero coding required. Make the move to real-time with a fully orchestrated, drag-and-drop, no-code UI. Experience rapid deployment, powerful transformations, and scalable streaming data pipelines in minutes. Multi-modal, robust, and scalable CDC enabling real-time streaming and data replication. Tuned for best-in-class performance no matter the source. The power of open-source big data frameworks, without the hassle. Equalum harnesses the scalability of open-source data frameworks such as Apache Spark and Kafka in the Platform engine to dramatically improve the performance of streaming and batch data processes. Organizations can increase data volumes while improving performance and minimizing system impact using this best-in-class infrastructure. -
23
Lens
Mirantis
Kubernetes is the OS for the cloud. Thousands of businesses and people develop and operate their Kubernetes on Lens — The largest and most advanced Kubernetes platform in the world. Lens Desktop works with any Kubernetes. It removes complexity and increases productivity. It’s used by everyone — from devs to ops and startups to large companies. Expand functionality with Lens Spaces — a cloud based service. It organizes your existing Kubernetes environments and provides Managed Dev Clusters for your team. Lens is built on open source with vibrant community and is backed by Kubernetes and cloud native ecosystem pioneers. The smart terminal comes with kubectl and helm, automatically syncing the version of kubectl to match the currently selected K8S cluster API version. Lens will automatically assign the kubeconfig context to match the currently selected K8s cluster.Starting Price: $9 per user per month -
24
Amazon EMR
Amazon
Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. With EMR you can run Petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. For short-running jobs, you can spin up and spin down clusters and pay per second for the instances used. For long-running workloads, you can create highly available clusters that automatically scale to meet demand. If you have existing on-premises deployments of open-source tools such as Apache Spark and Apache Hive, you can also run EMR clusters on AWS Outposts. Analyze data using open-source ML frameworks such as Apache Spark MLlib, TensorFlow, and Apache MXNet. Connect to Amazon SageMaker Studio for large-scale model training, analysis, and reporting. -
25
BotKube
BotKube
BotKube is a messaging bot for monitoring and debugging Kubernetes clusters. It's built and maintained by InfraCloud. BotKube can be integrated with multiple messaging platforms like Slack, Mattermost, Microsoft Teams to help you monitor your Kubernetes cluster(s), debug critical deployments and gives recommendations for standard practices by running checks on the Kubernetes resources. BotKube watches Kubernetes resources and sends a notification to the channel if any event occurs for example ImagePullBackOff error. You can customize the objects and level of events you want to get from the Kubernetes cluster. You can turn on/off notifications. BotKube can execute kubectl commands on the Kubernetes cluster without giving access to Kubeconfig or underlying infrastructure. With BotKube you can debug your deployment, services or anything about your cluster right from your messaging window. -
26
Apache Beam
Apache Software Foundation
The easiest way to do batch and streaming data processing. Write once, run anywhere data processing for mission-critical production workloads. Beam reads your data from a diverse set of supported sources, no matter if it’s on-prem or in the cloud. Beam executes your business logic for both batch and streaming use cases. Beam writes the results of your data processing logic to the most popular data sinks in the industry. A simplified, single programming model for both batch and streaming use cases for every member of your data and application teams. Apache Beam is extensible, with projects such as TensorFlow Extended and Apache Hop built on top of Apache Beam. Execute pipelines on multiple execution environments (runners), providing flexibility and avoiding lock-in. Open, community-based development and support to help evolve your application and meet the needs of your specific use cases. -
27
Loft
Loft Labs
Most Kubernetes platforms let you spin up and manage Kubernetes clusters. Loft doesn't. Loft is an advanced control plane that runs on top of your existing Kubernetes clusters to add multi-tenancy and self-service capabilities to these clusters to get the full value out of Kubernetes beyond cluster management. Loft provides a powerful UI and CLI but under the hood, it is 100% Kubernetes, so you can control everything via kubectl and the Kubernetes API, which guarantees great integration with existing cloud-native tooling. Building open-source software is part of our DNA. Loft Labs is CNCF and Linux Foundation member. Loft allows companies to empower their employees to spin up low-cost, low-overhead Kubernetes environments for a variety of use cases.Starting Price: $25 per user per month -
28
OpenCost
OpenCost
OpenCost is a vendor-neutral open source project for measuring and allocating cloud infrastructure and container costs in real-time. Built by Kubernetes experts and supported by Kubernetes practitioners, OpenCost shines a light into the black box of Kubernetes spending. Flexible, customizable cost allocation and cloud resource monitoring for accurate showback, chargeback, and ongoing reporting. Real-time cost allocation, broken down by Kubernetes concepts to the container level. Allocation for in-cluster resources like CPU, GPU, memory, load balancers, and persistent volumes. Dynamic asset pricing, through integrations with AWS, Azure, and GCP billing APIs as well as support for on-prem Kubernetes clusters using custom pricing. Monitor costs outside the Kubernetes cluster from the cloud provider, resources like object storage, databases, and other managed services. Integrations with other open source tooling, such as easy pricing data exports to Prometheus.Starting Price: Free -
29
Conduktor
Conduktor
We created Conduktor, the all-in-one friendly interface to work with the Apache Kafka ecosystem. Develop and manage Apache Kafka with confidence. With Conduktor DevTools, the all-in-one Apache Kafka desktop client. Develop and manage Apache Kafka with confidence, and save time for your entire team. Apache Kafka is hard to learn and to use. Made by Kafka lovers, Conduktor best-in-class user experience is loved by developers. Conduktor offers more than just an interface over Apache Kafka. It provides you and your teams the control of your whole data pipeline, thanks to our integration with most technologies around Apache Kafka. Provide you and your teams the most complete tool on top of Apache Kafka. -
30
Kubermatic Kubernetes Platform
Kubermatic
Kubermatic Kubernetes Platform (KKP) helps enterprises successfully drive digital transformation by automating their cloud operations anywhere. KKP enables operations and DevOps teams to centrally manage VMs and containerized workloads across hybrid-cloud, multi-cloud, and edge environments with an intuitive self-service developer and operations portal. Kubermatic Kubernetes Platform is open source. Automate operations of thousands of Kubernetes clusters across multi-cloud, on-prem, and edge environments with unparalleled density and resilience. Setup and run your multicloud self service Kubernetes platform with the shortest time to market. Empower your developers and operations team to deploy their clusters in less than three minutes on any infrastructure. Centrally manage your workloads from a single dashboard with a consistent experience from cloud to on-prem to edge. Manage your cloud native stack at scale with enterprise level governance. -
31
D2iQ
D2iQ
D2iQ Enterprise Kubernetes Platform (DKP) Run Kubernetes Workloads at Scale DKP includes everything you need to ease Kubernetes adoption, expand Kubernetes use, and enable advanced workloads across any infrastructure, whether on-prem, on the cloud, in air-gapped environments, or at the edge. Built to Solve the Toughest Enterprise Kubernetes Challenges Created to accelerate the journey to production at scale, DKP provides a single, centralized point of control to build, run, and manage applications across any infrastructure. Enable Day 2 Readiness Out-of-the-Box Without Lock-In DKP takes care of the heavy lifting by providing a comprehensive, enterprise-grade Kubernetes distribution and a full stack of CNCF-certified Day 2 platform applications that are integrated, automated, and tested at scale for an out-of-the-box, production-ready experience. -
32
dstack
dstack
dstack is an orchestration layer designed for modern ML teams, providing a unified control plane for development, training, and inference on GPUs across cloud, Kubernetes, or on-prem environments. By simplifying cluster management and workload scheduling, it eliminates the complexity of Helm charts and Kubernetes operators. The platform supports both cloud-native and on-prem clusters, with quick connections via Kubernetes or SSH fleets. Developers can spin up containerized environments that link directly to their IDEs, streamlining the machine learning workflow from prototyping to deployment. dstack also enables seamless scaling from single-node experiments to distributed training while optimizing GPU usage and costs. With secure, auto-scaling endpoints compatible with OpenAI standards, it empowers teams to deploy models quickly and reliably. -
33
IBM Analytics for Apache Spark is a flexible and integrated Spark service that empowers data science professionals to ask bigger, tougher questions, and deliver business value faster. It’s an easy-to-use, always-on managed service with no long-term commitment or risk, so you can begin exploring right away. Access the power of Apache Spark with no lock-in, backed by IBM’s open-source commitment and decades of enterprise experience. A managed Spark service with Notebooks as a connector means coding and analytics are easier and faster, so you can spend more of your time on delivery and innovation. A managed Apache Spark services gives you easy access to the power of built-in machine learning libraries without the headaches, time and risk associated with managing a Sparkcluster independently.
-
34
SelectDB
SelectDB
SelectDB is a modern data warehouse based on Apache Doris, which supports rapid query analysis on large-scale real-time data. From Clickhouse to Apache Doris, to achieve the separation of the lake warehouse and upgrade to the lake warehouse. The fast-hand OLAP system carries nearly 1 billion query requests every day to provide data services for multiple scenes. Due to the problems of storage redundancy, resource seizure, complicated governance, and difficulty in querying and adjustment, the original lake warehouse separation architecture was decided to introduce Apache Doris lake warehouse, combined with Doris's materialized view rewriting ability and automated services, to achieve high-performance data query and flexible data governance. Write real-time data in seconds, and synchronize flow data from databases and data streams. Data storage engine for real-time update, real-time addition, and real-time pre-polymerization.Starting Price: $0.22 per hour -
35
Samza
Apache Software Foundation
Samza allows you to build stateful applications that process data in real-time from multiple sources including Apache Kafka. Battle-tested at scale, it supports flexible deployment options to run on YARN or as a standalone library. Samza provides extremely low latencies and high throughput to analyze your data instantly. Scales to several terabytes of state with features like incremental checkpoints and host-affinity. Samza is easy to operate with flexible deployment options - YARN, Kubernetes or standalone. Ability to run the same code to process both batch and streaming data. Integrates with several sources including Kafka, HDFS, AWS Kinesis, Azure Eventhubs, K-V stores and ElasticSearch. -
36
KubeGrid
KubeGrid
Define your Kubernetes infrastructure, and use KubeGrid to automatically deploy, monitor, and optimize up to thousands of clusters. KubeGrid automates the full lifecycle management of Kubernetes in on-prem and cloud environments, enabling developers to deploy, manage, and update large numbers of clusters with ease. KubeGrid is a Platform as Code, meaning you can declaratively define all your Kubernetes requirements as code, from your on-prem or cloud infrastructure, to cluster specs, and autoscaling policies, and KubeGrid will deploy and manage everything for you. Most infrastructure-as-code tools help you provision infrastructure, but stop there. KubeGrid goes beyond that to help developers automate Day 2 operations, such as monitoring infrastructure, failing over unhealthy nodes, and updating your clusters and operating system. Kubernetes is great for provisioning pods in an automated fashion. -
37
Altinity
Altinity
Altinity's expert engineering team can implement everything from core ClickHouse features to Kubernetes operator behavior to client library improvements. A flexible docker-based GUI manager for ClickHouse that can do the following: Install ClickHouse clusters; Add, delete, and replace nodes; Monitor cluster status; Help with troubleshooting and diagnostics. 3rd party tools and software integrations: Ingest: Kafka, ClickTail; APIs: Python, Golang, ODBC, Java; Kubernetes; UI tools: Grafana, Superset, Tabix, Graphite; Databases: MySQL, PostgreSQL; BI tools: Tableau and many more. Altinity.Cloud incorporates lessons from helping hundreds of customers operate ClickHouse-based analytics. Altinity.Cloud has a Kubernetes-based architecture that delivers portability and user choice of where to operate. Designed from the beginning to run anywhere without lock-in. Cost management is critical for SaaS businesses. -
38
Apache Kylin
Apache Software Foundation
Apache Kylin™ is an open source, distributed Analytical Data Warehouse for Big Data; it was designed to provide OLAP (Online Analytical Processing) capability in the big data era. By renovating the multi-dimensional cube and precalculation technology on Hadoop and Spark, Kylin is able to achieve near constant query speed regardless of the ever-growing data volume. Reducing query latency from minutes to sub-second, Kylin brings online analytics back to big data. Kylin can analyze 10+ billions of rows in less than a second. No more waiting on reports for critical decisions. Kylin connects data on Hadoop to BI tools like Tableau, PowerBI/Excel, MSTR, QlikSense, Hue and SuperSet, making the BI on Hadoop faster than ever. As an Analytical Data Warehouse, Kylin offers ANSI SQL on Hadoop/Spark and supports most ANSI SQL query functions. Kylin can support thousands of interactive queries at the same time, thanks to the low resource consumption of each query. -
39
VeloDB
VeloDB
Powered by Apache Doris, VeloDB is a modern data warehouse for lightning-fast analytics on real-time data at scale. Push-based micro-batch and pull-based streaming data ingestion within seconds. Storage engine with real-time upsert、append and pre-aggregation. Unparalleled performance in both real-time data serving and interactive ad-hoc queries. Not just structured but also semi-structured data. Not just real-time analytics but also batch processing. Not just run queries against internal data but also work as a federate query engine to access external data lakes and databases. Distributed design to support linear scalability. Whether on-premise deployment or cloud service, separation or integration of storage and compute, resource usage can be flexibly and efficiently adjusted according to workload requirements. Built on and fully compatible with open source Apache Doris. Support MySQL protocol, functions, and SQL for easy integration with other data tools. -
40
Crossplane
Crossplane
Crossplane is an open-source Kubernetes add-on that enables platform teams to assemble infrastructure from multiple vendors, and expose higher-level self-service APIs for application teams to consume, without having to write any code. Provision and manage cloud infrastructure and services using kubectl. Crossplane extends your Kubernetes cluster, providing you with CRDs for any infrastructure or managed service. Compose these granular resources into higher-level abstractions that can be versioned, managed, deployed, and consumed using your favorite tools and existing processes you've already integrated with your clusters. We built Crossplane to help organizations build their clouds like the cloud vendors build theirs, with a control plane. Crossplane is a CNCF project which extends the Kubernetes API to manage and compose infrastructure. Operators can encapsulate policies, permissions, and other guardrails behind a custom API line generated by Crossplane. -
41
Red Hat OpenShift Streams
Red Hat
Red Hat® OpenShift® Streams for Apache Kafka is a managed cloud service that provides a streamlined developer experience for building, deploying, and scaling new cloud-native applications or modernizing existing systems. Red Hat OpenShift Streams for Apache Kafka makes it easy to create, discover, and connect to real-time data streams no matter where they are deployed. Streams are a key component for delivering event-driven and data analytics applications. The combination of seamless operations across distributed microservices, large data transfer volumes, and managed operations allows teams to focus on team strengths, speed up time to value, and lower operational costs. OpenShift Streams for Apache Kafka includes a Kafka ecosystem and is part of a family of cloud services—and the Red Hat OpenShift product family—which helps you build a wide range of data-driven solutions. -
42
OpenFaaS
OpenFaaS
Serverless functions, made simple. OpenFaaS® makes it simple to deploy both functions and existing code to Kubernetes. Avoid lock-in through the use of Docker. Run-on any public or private cloud. Build both microservices & functions in any language. Legacy code and binaries. Auto-scale for demand or to zero when idle. Bring your laptop, your own on-prem hardware, or create a cluster in the cloud. Let Kubernetes do the heavy lifting enabling you to build a scalable, fault-tolerant event-driven serverless platform for your applications. You can try out OpenFaaS in 60 seconds or write and deploy your first Python function in around 10-15 minutes. From there you can take the OpenFaaS workshop, a series of tried-and-tested self-paced labs which teach you everything you need to know about functions, and more. An ecosystem for sharing, reusing, and collaborating on functions. Reduce boilerplate code, and share code in the templates store. -
43
GeoSpock
GeoSpock
GeoSpock enables data fusion for the connected world with GeoSpock DB – the space-time analytics database. GeoSpock DB is a unique, cloud-native database optimised for querying for real-world use cases, able to fuse multiple sources of Internet of Things (IoT) data together to unlock its full value, whilst simultaneously reducing complexity and cost. GeoSpock DB enables efficient storage, data fusion, and rapid programmatic access to data, and allows you to run ANSI SQL queries and connect to analytics tools via JDBC/ODBC connectors. Users are able to perform analysis and share insights using familiar toolsets, with support for common BI tools (such as Tableau™, Amazon QuickSight™, and Microsoft Power BI™), and Data Science and Machine Learning environments (including Python Notebooks and Apache Spark). The database can also be integrated with internal applications and web services – with compatibility for open-source and visualisation libraries such as Kepler and Cesium.js. -
44
Confluent
Confluent
Infinite retention for Apache Kafka® with Confluent. Be infrastructure-enabled, not infrastructure-restricted Legacy technologies require you to choose between being real-time or highly-scalable. Event streaming enables you to innovate and win - by being both real-time and highly-scalable. Ever wonder how your rideshare app analyzes massive amounts of data from multiple sources to calculate real-time ETA? Ever wonder how your credit card company analyzes millions of credit card transactions across the globe and sends fraud notifications in real-time? The answer is event streaming. Move to microservices. Enable your hybrid strategy through a persistent bridge to cloud. Break down silos to demonstrate compliance. Gain real-time, persistent event transport. The list is endless. -
45
CAPE
Biqmind
Multi-Cloud, Multi-Cluster Kubernetes App Deployment & Migration Made Simple. Unleash your K8s superpower with CAPE. Key Features. Disaster Recovery. Stateful application backup and restore for Disaster Recovery Data Mobility & Migration. Secure application & data management and migration across on-prem, private and public clouds. Multi-cluster Application Deployment. Stateful application deployment across multi-cluster & multi-cloud. Drag & Drop CI/CD Workflow Manager. Simplified UI for complex CI/CD pipeline configuration & deployment. CAPE for K8s Disaster Recovery Cluster Migration Cluster Upgrades Data Migration Data Protection Data Cloning App Deployment. CAPE™ radically simplifies advanced Kubernetes functionalities such as Disaster Recovery, Data Mobility & Migration, Multi-cluster Application Deployment, and CI/CD across on-prem, private and public clouds. Multi-Cluster Application Deployment. Control plane to federate clusters, manage application and servicesStarting Price: $20 per month -
46
Azure HDInsight
Microsoft
Run popular open-source frameworks—including Apache Hadoop, Spark, Hive, Kafka, and more—using Azure HDInsight, a customizable, enterprise-grade service for open-source analytics. Effortlessly process massive amounts of data and get all the benefits of the broad open-source project ecosystem with the global scale of Azure. Easily migrate your big data workloads and processing to the cloud. Open-source projects and clusters are easy to spin up quickly without the need to install hardware or manage infrastructure. Big data clusters reduce costs through autoscaling and pricing tiers that allow you to pay for only what you use. Enterprise-grade security and industry-leading compliance with more than 30 certifications helps protect your data. Optimized components for open-source technologies such as Hadoop and Spark keep you up to date. -
47
Mirantis Container Cloud
Mirantis
Provisioning and managing cloud native infrastructure doesn’t have to be a moonshot. In fact, it can be as simple as point-and-click. Mirantis Container Cloud gives administrators and developers the power to deploy Kubernetes and OpenStack environments from a single pane of glass—across on-prem, hosted bare metal, and public cloud. No more scheduling work around updates. Get access to new features faster—with zero downtime for clusters and workloads. Give your developers the power to effortlessly create, observe, and manage Kubernetes clusters, all with custom guardrails. Mirantis Container Cloud gives you a single console to manage your entire hybrid infrastructure estate. Mirantis Container Cloud deploys, manages, and maintains both Mirantis Kubernetes Engine container-based deployments and Mirantis OpenStack for Kubernetes virtualization environments. -
48
IBM Databand
IBM
Monitor your data health and pipeline performance. Gain unified visibility for pipelines running on cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. An observability platform purpose built for Data Engineers. Data engineering is only getting more challenging as demands from business stakeholders grow. Databand can help you catch up. More pipelines, more complexity. Data engineers are working with more complex infrastructure than ever and pushing higher speeds of release. It’s harder to understand why a process has failed, why it’s running late, and how changes affect the quality of data outputs. Data consumers are frustrated with inconsistent results, model performance, and delays in data delivery. Not knowing exactly what data is being delivered, or precisely where failures are coming from, leads to persistent lack of trust. Pipeline logs, errors, and data quality metrics are captured and stored in independent, isolated systems. -
49
Onehouse
Onehouse
The only fully managed cloud data lakehouse designed to ingest from all your data sources in minutes and support all your query engines at scale, for a fraction of the cost. Ingest from databases and event streams at TB-scale in near real-time, with the simplicity of fully managed pipelines. Query your data with any engine, and support all your use cases including BI, real-time analytics, and AI/ML. Cut your costs by 50% or more compared to cloud data warehouses and ETL tools with simple usage-based pricing. Deploy in minutes without engineering overhead with a fully managed, highly optimized cloud service. Unify your data in a single source of truth and eliminate the need to copy data across data warehouses and lakes. Use the right table format for the job, with omnidirectional interoperability between Apache Hudi, Apache Iceberg, and Delta Lake. Quickly configure managed pipelines for database CDC and streaming ingestion. -
50
Azure Databricks
Microsoft
Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. Take advantage of autoscaling and auto-termination to improve total cost of ownership (TCO).
