SparkGrid

SparkGrid

Sparksoft Corporation
+
+

Related Products

  • SenseIP
    1 Rating
    Visit Website
  • Vertex AI
    944 Ratings
    Visit Website
  • Google Cloud Platform
    60,526 Ratings
    Visit Website
  • Parasoft
    142 Ratings
    Visit Website
  • Gearset
    249 Ratings
    Visit Website
  • qTest
    Visit Website
  • AnalyticsCreator
    46 Ratings
    Visit Website
  • dbt
    237 Ratings
    Visit Website
  • pCloud
    182 Ratings
    Visit Website
  • RunMyJobs by Redwood
    423 Ratings
    Visit Website

About

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets. We are happy to receive feedback and contributions. Deequ depends on Java 8. Deequ version 2.x only runs with Spark 3.1, and vice versa. If you rely on a previous Spark version, please use a Deequ 1.x version (legacy version is maintained in legacy-spark-3.0 branch). We provide legacy releases compatible with Apache Spark versions 2.2.x to 3.0.x. The Spark 2.2.x and 2.3.x releases depend on Scala 2.11 and the Spark 2.4.x, 3.0.x, and 3.1.x releases depend on Scala 2.12. Deequ's purpose is to "unit-test" data to find errors early, before the data gets fed to consuming systems or machine learning algorithms. In the following, we will walk you through a toy example to showcase the most basic usage of our library.

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

Anyone looking for an Unit Testing solution that measures data quality in large datasets

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

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

Review this Software

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

Deequ
github.com/awslabs/deequ

Company Information

Sparksoft Corporation
United States
sparksoftlabs.com/sparkgrid

Alternatives

Spark Streaming

Spark Streaming

Apache Software Foundation

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation

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

Apache Spark
MySQL
PostgreSQL
Snowflake

Integrations

Apache Spark
MySQL
PostgreSQL
Snowflake
Claim Deequ and update features and information
Claim Deequ and update features and information
Claim SparkGrid and update features and information
Claim SparkGrid and update features and information