SparkGrid

SparkGrid

Sparksoft Corporation
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About

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.

About

SparkGrid is a user-friendly data management tool that simplifies communication with Snowflake by offering a tabularized interface similar to standard spreadsheet applications. It allows users to perform complex data tasks without needing extensive technical knowledge, making Snowflake more accessible. SparkGrid supports multi-field editing, SQL statement previews, and built-in error handling and security features to ensure data integrity. The intuitive graphical user interface enables easy navigation, selection, and manipulation of data such as adding or removing rows and columns. By bridging the gap between visual data management and SQL queries, SparkGrid empowers teams to work efficiently. It is designed to enhance productivity and democratize access to Snowflake’s powerful data capabilities. Available on AWS's marketplace, just search "Sparkgrid AWS Marketplace" Or contact us for custom implementation options.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Scientists and engineers looking for a solution for agile machine learning development

Audience

SparkGrid is ideal for business analysts, data managers, and teams using Snowflake who want a simple, secure, and efficient spreadsheet-like interface to manage complex data without deep technical expertise

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$0.20/hour
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

IBM
Founded: 1911
United States
www.ibm.com/products/databand

Company Information

Sparksoft Corporation
United States
sparksoftlabs.com/sparkgrid

Alternatives

Alternatives

dbt

dbt

dbt Labs

Categories

Categories

Data Preparation Features

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Integrations

MySQL
PostgreSQL
Snowflake
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Apache Spark
Azkaban
Azure Data Factory
Databricks Data Intelligence Platform
Delta Lake
Docker
Google Cloud BigQuery
Google Cloud Composer
Google Cloud Storage
Kubernetes
MLflow
Microsoft Azure
Python

Integrations

MySQL
PostgreSQL
Snowflake
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Apache Spark
Azkaban
Azure Data Factory
Databricks Data Intelligence Platform
Delta Lake
Docker
Google Cloud BigQuery
Google Cloud Composer
Google Cloud Storage
Kubernetes
MLflow
Microsoft Azure
Python
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