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About

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).

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.

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

Companies in need of a big data solution

Audience

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

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

No information available.
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

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/databricks/

Company Information

Deequ
github.com/awslabs/deequ

Alternatives

Alternatives

Spark Streaming

Spark Streaming

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation
Amazon EMR

Amazon EMR

Amazon
Apache Mahout

Apache Mahout

Apache Software Foundation

Categories

Categories

Integrations

AnalyticsCreator
Bobsled
Captain Compliance
DQOps
Databricks
HStreamDB
Hackolade
Herus
Indent
Microsoft Azure
Microsoft Fabric
Protegrity
Quaeris
Replenit
Signara
StarfishETL
The Asset Guardian EAM (TAG)
Union Cloud
VE3 DataWise
Zing Data

Integrations

AnalyticsCreator
Bobsled
Captain Compliance
DQOps
Databricks
HStreamDB
Hackolade
Herus
Indent
Microsoft Azure
Microsoft Fabric
Protegrity
Quaeris
Replenit
Signara
StarfishETL
The Asset Guardian EAM (TAG)
Union Cloud
VE3 DataWise
Zing Data
Claim Azure Databricks and update features and information
Claim Azure Databricks and update features and information
Claim Deequ and update features and information
Claim Deequ and update features and information