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SQL Editors
SQL editors are software tools that enable users to write, edit, and execute Structured Query Language (SQL) queries to interact with databases. These editors provide an interface for managing and manipulating data in relational database management systems (RDBMS), allowing users to create, read, update, and delete (CRUD) records in tables. SQL editors often include features like syntax highlighting, query formatting, auto-completion, and debugging tools to make the writing and execution of SQL queries easier and more efficient. Many also offer integration with different databases, support for complex queries, and built-in tools for database design and management. By enhancing the user experience and providing powerful database manipulation capabilities, SQL editors are essential tools for database administrators and developers.
SQL Server Software
SQL server software is a relational database management system (RDBMS) that allows businesses to store, manage, and retrieve data in structured formats using Structured Query Language (SQL). These platforms provide a robust and scalable solution for handling large volumes of data, enabling users to create, read, update, and delete data within relational databases. SQL server software includes features for data storage, transaction management, data security, backup, and performance optimization, ensuring data integrity and availability. It supports a range of applications from small businesses to enterprise-level solutions, offering integration with other business tools and systems. SQL server software is often used in applications requiring high-performance data storage, reporting, and analytics capabilities.
NoSQL Database
NoSQL database software provides the tools to store, capture and retrieve of big data through the use of non tabular databases.
SQL Databases
SQL databases are structured systems that use the Structured Query Language (SQL) to store, retrieve, and manage data. They organize data into tables with rows and columns, ensuring that information is easily accessible, consistent, and scalable. SQL databases are widely used in applications that require complex queries, transactions, and data integrity, making them essential for web applications, financial systems, and enterprise environments. These databases offer robust features for security, data normalization, and maintaining relationships between different datasets. Overall, SQL databases are fundamental to managing relational data efficiently and reliably across various industries.
SQL IDEs
SQL IDEs (Integrated Development Environments) are software tools that provide a comprehensive environment for writing, testing, and optimizing SQL queries. These platforms typically offer features such as code autocompletion, syntax highlighting, query execution, database connection management, and debugging tools, making it easier for developers to interact with relational databases. SQL IDEs often include tools for managing database schemas, visualizing query results, and optimizing query performance. By using these tools, developers can improve productivity, reduce errors, and enhance the efficiency of their database-related tasks.
AI SQL Query Software
AI SQL query tools are software applications that utilize artificial intelligence (AI) and allow users to access and manage data stored in a database.
SQL Query Optimization Software
SQL Query Optimization tools are software solutions designed to improve the performance and efficiency of database queries. They analyze SQL queries to identify bottlenecks, suggest indexes, and recommend query rewrites for better execution plans. These tools often provide visual query execution plans, allowing users to pinpoint slow operations like full table scans or inefficient joins.
SQL Recovery Tools Software
SQL recovery tools are software programs designed to retrieve and repair data from databases that have become corrupted or damaged.
MySQL GUI Clients
MySQL GUI clients are software applications used to provide a graphical interface for users to interact with MySQL databases. They enable users to view, create and modify tables, rows, columns and other database objects without having to write SQL queries. Common features of MySQL GUI clients include query builder tools and the ability to export data into various formats. Additionally, some MySQL GUI clients offer advanced options such as visual design tools and support for multiple languages.
PostgreSQL GUI Clients
PostgreSQL GUI clients are tools used to easily manage and manipulate databases from a graphical user interface. They provide an intuitive interface that allows users to create and edit elements like tables, views, functions and more. Popular PostgreSQL GUI clients include pgAdmin, DBeaver, TablePlus and Navicat Premium. These clients support a variety of database operations through graphical tools or embedded SQL text editors for full control over query execution.
Database Backup Software
Database backup software solutions enable organizations to back up their databases so that they can restore the databases if necessary. Database backup software is essential for companies of all kinds that want to protect against corrupted data, broken hardware, or employee missteps.
Data Replication Software
Data replication software is used to store data in multiple locations with the purpose of optimizing the availability and accessibility of files through databases.
Data Lineage Tools
Data lineage tools are software solutions designed to track and visualize the flow of data through various stages of its lifecycle, from origin to destination. These tools help organizations understand the data's journey, transformations, and dependencies across different systems and processes. They offer features such as data mapping, impact analysis, and auditing to ensure data accuracy, compliance, and governance. By providing detailed insights into data movement and transformations, data lineage tools enable better decision-making, troubleshooting, and optimization of data workflows. They are essential for maintaining data integrity and transparency in complex data environments.
XML Databases
XML databases are a type of database that stores, manages, and retrieves data in the XML (Extensible Markup Language) format. These databases are designed to handle semi-structured data, where data is stored in a tree-like structure using tags, making it more flexible than traditional relational databases. XML databases support querying and manipulating XML data using specialized languages such as XPath, XQuery, and XML Schema. They are commonly used in applications that require complex data structures, such as content management systems, document storage, and web services. XML databases allow for efficient handling of large and dynamic datasets while maintaining the hierarchical relationships between elements, making them suitable for applications that need to store and retrieve structured or semi-structured data efficiently.
RDBMS Software
A Relational Database Management System (RDBMS) is a type of database management system that organizes data into structured tables with rows and columns. It uses a relational model, where data is stored in multiple tables that can be linked through unique identifiers, such as primary and foreign keys. RDBMS ensures data integrity, consistency, and security through constraints, transactions, and access controls. It supports Structured Query Language (SQL) for data manipulation, retrieval, and management. RDBMS is widely used in applications requiring structured data storage, efficient querying, and strong relationships between data entities.
Database Monitoring Tools
Database monitoring tools help businesses and IT teams track, analyze, and optimize the performance of their databases to ensure smooth operation, prevent downtime, and maintain data integrity. These tools typically provide features for real-time monitoring of database metrics such as query performance, response times, CPU and memory usage, and disk space utilization. Database monitoring software often includes alerting mechanisms for detecting issues such as slow queries or resource bottlenecks, as well as detailed reporting and analytics to improve database efficiency and scalability. By using these tools, organizations can proactively manage database health, troubleshoot problems, and optimize system performance.
Artificial Intelligence Software
Artificial Intelligence (AI) software is computer technology designed to simulate human intelligence. It can be used to perform tasks that require cognitive abilities, such as problem-solving, data analysis, visual perception and language translation. AI applications range from voice recognition and virtual assistants to autonomous vehicles and medical diagnostics.
Machine Learning Software
Machine learning software enables developers and data scientists to build, train, and deploy models that can learn from data and make predictions or decisions without being explicitly programmed. These tools provide frameworks and algorithms for tasks such as classification, regression, clustering, and natural language processing. They often come with features like data preprocessing, model evaluation, and hyperparameter tuning, which help optimize the performance of machine learning models. With the ability to analyze large datasets and uncover patterns, machine learning software is widely used in industries like healthcare, finance, marketing, and autonomous systems. Overall, this software empowers organizations to leverage data for smarter decision-making and automation.
Data Management Software
Data management software systems are software platforms that help organize, store and analyze information. They provide a secure platform for data sharing and analysis with features such as reporting, automation, visualizations, and collaboration. Data management software can be customized to fit the needs of any organization by providing numerous user options to easily access or modify data. These systems enable organizations to keep track of their data more efficiently while reducing the risk of data loss or breaches for improved business security.
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19 Products for "sql" with 1 filter applied:

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  • 1
    Teradata VantageCloud
    ...Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems.
    992 Ratings
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  • 2
    Google Cloud BigQuery
    ...At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. ...
    1,934 Ratings
    Starting Price: Free ($300 in free credits)
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  • 3
    Snowflake

    Snowflake

    Snowflake

    Snowflake is a comprehensive AI Data Cloud platform designed to eliminate data silos and simplify data architectures, enabling organizations to get more value from their data. The platform offers interoperable storage that provides near-infinite scale and access to diverse data sources, both inside and outside Snowflake. Its elastic compute engine delivers high performance for any number of users, workloads, and data volumes with seamless scalability. Snowflake’s Cortex AI accelerates...
    4 Ratings
    Starting Price: $2 compute/month
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  • 4
    AllegroGraph

    AllegroGraph

    Franz Inc.

    AllegroGraph is a breakthrough solution that allows infinite data integration through a patented approach unifying all data and siloed knowledge into an Entity-Event Knowledge Graph solution that can support massive big data analytics. AllegroGraph utilizes unique federated sharding capabilities that drive 360-degree insights and enable complex reasoning across a distributed Knowledge Graph. AllegroGraph provides users with an integrated version of Gruff, a unique browser-based graph...
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  • 5
    Layerup

    Layerup

    Layerup

    ...Use Natural Language to query any complex data in seconds. Transition from DIY tools to non-DIY AI-powered tools. Generate complex dashboards and reports in a few lines. No more SQL or complex formulas - let Layerup AI do the heavy lifting for you. Layerup not only gives you instant answer to questions that would require 5-40 hours/month on SQL queries, but it will act as your personal data analyst 24/7 while providing you complex dashboards/charts that you can embed anywhere.
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  • 6
    Oracle Machine Learning
    ...Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. ...
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  • 7
    MindsDB

    MindsDB

    MindsDB

    MindsDB is an AI data solution that enables humans, AI, agents, and applications to query data in natural language and SQL, and get highly accurate answers across disparate data sources and types. MindsDB connects to diverse data sources and applications, and unifies petabyte-scale structured and unstructured data. Powered by an industry-first cognitive engine that can operate anywhere (on-prem, VPC, serverless), it empowers both humans and AI with highly informed decision-making capabilities. ...
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  • 8
    BryteFlow

    BryteFlow

    BryteFlow

    ...You can completely automate data ingestion with BryteFlow Ingest’s simple point-and-click interface while BryteFlow XL Ingest is great for the initial full ingest for very large datasets. No coding is needed! With BryteFlow Blend you can merge data from varied sources like Oracle, SQL Server, Salesforce and SAP etc. and transform it to make it ready for Analytics and Machine Learning. BryteFlow TruData reconciles the data at the destination with the source continually or at a frequency you select. If data is missing or incomplete you get an alert so you can fix the issue easily.
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  • 9
    Vertex AI
    ...Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. ...
    783 Ratings
    Starting Price: Free ($300 in free credits)
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  • 10
    Robin.io

    Robin.io

    Robin.io

    ...Hyper-converged Kubernetes is a software-defined application orchestration framework that combines containerized storage, networking, compute (Kubernetes), and the application management layer into a single system. Our approach extends Kubernetes for data-intensive applications such as Hortonworks, Cloudera, Elastic stack, RDBMS, NoSQL databases, and AI/ML apps. Facilitates simpler and faster roll-out of critical Enterprise IT and LoB initiatives, such as containerization, cloud-migration, cost-consolidation, and productivity improvement. Solves the fundamental challenges of running big data and databases in Kubernetes.
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  • 11
    Modelbit

    Modelbit

    Modelbit

    ...Simply call modelbi.deploy to deploy your model, and let Modelbit carry it — and all its dependencies — to production. ML models deployed with Modelbit can be called directly from your warehouse as easily as calling a SQL function. They can also be called as a REST endpoint directly from your product. Modelbit is backed by your git repo. GitHub, GitLab, or home grown. Code review. CI/CD pipelines. PRs and merge requests. Bring your whole git workflow to your Python ML models. Modelbit integrates seamlessly with Hex, DeepNote, Noteable and more. Take your model straight from your favorite cloud notebook into production. ...
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  • 12
    Google Cloud Datalab
    ...Cloud Datalab is built on Jupyter (formerly IPython), which boasts a thriving ecosystem of modules and a robust knowledge base. Cloud Datalab enables analysis of your data on BigQuery, AI Platform, Compute Engine, and Cloud Storage using Python, SQL, and JavaScript (for BigQuery user-defined functions). Whether you're analyzing megabytes or terabytes, Cloud Datalab has you covered. Query terabytes of data in BigQuery, run local analysis on sampled data, and run training jobs on terabytes of data in AI Platform seamlessly.
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  • 13
    Altair SLC
    ...Altair SLC reduces users’ capital costs and operating expenses thanks to its superb ability to handle high levels of throughput. Altair SLC's built-in SAS language compiler runs SAS language and SQL code, and utilizes Python and R compilers to run Python and R code and exchange SAS language datasets, Pandas, and R data frames. The software runs on IBM mainframes, in the cloud, and on servers and workstations running a variety of operating systems. It supports both remote job submission and the ability to exchange data between mainframe, cloud, and on-premises installations.
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  • 14
    Zerve AI

    Zerve AI

    Zerve AI

    ...Zerve’s data science development environment gives data science and ML teams a unified space to explore, collaborate, build, and deploy data science & AI projects like never before. Zerve offers true language interoperability, meaning that as well as being able to use Python, R, SQL, or Markdown all in the same canvas, users can connect these code blocks to each other. No more long-running code blocks or containers, with Zerve enjoying unlimited parallelization at any stage of the development journey. Analysis artifacts are automatically serialized, versioned, stored, and preserved for later use, meaning easily changing a step in the data flow without needing to rerun any preceding steps. ...
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  • 15
    Amazon SageMaker Data Wrangler
    ...With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow (including data selection, cleansing, exploration, visualization, and processing at scale) from a single visual interface. You can use SQL to select the data you want from a wide variety of data sources and import it quickly. Next, you can use the Data Quality and Insights report to automatically verify data quality and detect anomalies, such as duplicate rows and target leakage. SageMaker Data Wrangler contains over 300 built-in data transformations so you can quickly transform data without writing any code. ...
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  • 16
    Deepnote

    Deepnote

    Deepnote

    ...Features: - Sharing notebooks and projects via URL - Inviting others to view, comment and collaborate, with version control - Publishing notebooks with visualizations for presentations - Sharing datasets between projects - Set team permissions to decide who can edit vs view code - Full linux terminal access - Code completion - Automatic python package management - Importing from github - PostgreSQL DB connection
    Starting Price: Free
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  • 17
    Hex

    Hex

    Hex

    Hex brings together the best of notebooks, BI, and docs into a seamless, collaborative UI. Hex is a modern Data Workspace. It makes it easy to connect to data, analyze it in collaborative SQL and Python-powered notebooks, and share work as interactive data apps and stories. Your default landing page in Hex is the Projects page. You can quickly find projects you created, as well as those shared with you and your workspace. The outline provides an easy-to-browse overview of all the cells in a project's Logic View. Every cell in the outline lists the variables it defines, and cells that return a displayed output (chart cells, Input Parameters, markdown cells, etc.) display a preview of that output. ...
    Starting Price: $24 per user per month
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  • 18
    Indigo DRS Data Reporting Systems

    Indigo DRS Data Reporting Systems

    Indigo Scape DRS Data Reporting Systems

    ...Representing the ultimate in reporting software our advanced technology and reusable reporting system is a powerhouse in data reporting. Indigo DRS is totally unique in its ability to query in XQuery, Python and SQL and use data from multiple different sources and types simultaneously making it the only choice for demanding business, financial, scientific and engineering reporting. With advanced reporting features, unmatched functionality and effortless integration of this powerful software technology into your business you can be assured of having the best reporting capabilities!
    Starting Price: $500 per month / user
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  • 19
    TiMi

    TiMi

    TIMi

    With TIMi, companies can capitalize on their corporate data to develop new ideas and make critical business decisions faster and easier than ever before. The heart of TIMi’s Integrated Platform. TIMi’s ultimate real-time AUTO-ML engine. 3D VR segmentation and visualization. Unlimited self service business Intelligence. TIMi is several orders of magnitude faster than any other solution to do the 2 most important analytical tasks: the handling of datasets (data cleaning, feature engineering,...
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