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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

IBM Analytics Engine provides an architecture for Hadoop clusters that decouples the compute and storage tiers. Instead of a permanent cluster formed of dual-purpose nodes, the Analytics Engine allows users to store data in an object storage layer such as IBM Cloud Object Storage and spins up clusters of computing notes when needed. Separating compute from storage helps to transform the flexibility, scalability and maintainability of big data analytics platforms. Build on an ODPi compliant stack with pioneering data science tools with the broader Apache Hadoop and Apache Spark ecosystem. Define clusters based on your application's requirements. Choose the appropriate software pack, version, and size of the cluster. Use as long as required and delete as soon as an application finishes jobs. Configure clusters with third-party analytics libraries and packages. Deploy workloads from IBM Cloud services like machine learning.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

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

Audience

Enterprises in need of an architecture for Hadoop clusters to decouples the compute and storage tiers

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$0.014 per hour
Free Version Supported
Free Trial Not Supported

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Deequ
github.com/awslabs/deequ

Company Information

IBM
Founded: 1911
United States
www.ibm.com/cloud/analytics-engine

Alternatives

Spark Streaming

Spark Streaming

Apache Software Foundation

Alternatives

E-MapReduce

E-MapReduce

Alibaba
Hadoop

Hadoop

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation
Apache Sentry

Apache Sentry

Apache Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation
Azure HDInsight

Azure HDInsight

Microsoft

Categories

Unit Testing Supported

Categories

Data Discovery Supported
Data Visualization Supported

Integrations

Apache Spark Supported
Acquia CDP Not Supported
Galileo Not Supported
Hadoop Not Supported
IBM Cloud Object Storage Not Supported
MINT Not Supported
RadiantOne Not Supported
Switch Automation Not Supported
ZARUS Not Supported

Integrations

Apache Spark Supported
Acquia CDP Supported
Galileo Supported
Hadoop Supported
IBM Cloud Object Storage Supported
MINT Supported
RadiantOne Supported
Switch Automation Supported
ZARUS Supported
Claim Deequ and update features and information
Claim Deequ and update features and information
Claim IBM Analytics Engine and update features and information
Claim IBM Analytics Engine and update features and information