Spark ATS

Spark ATS

Comspark Innov & Infra Pvt. Ltd.
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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

Spark ATS is a web-based applicant tracking system and recruitment software developed by Comspark Innov & Infra. It helps hiring teams, recruiters, HR departments, staffing agencies, and recruitment teams manage the complete hiring workflow in one platform. Users can create and manage job vacancies, track candidate applications through configurable recruitment pipeline stages, screen resumes, manage candidate information, coordinate interviews, and monitor hiring progress. Spark ATS also supports resume parsing, candidate search and filtering, recruitment reporting, analytics, and data export. Designed for collaborative recruitment workflows, the platform centralizes applicant data, candidate evaluation, and hiring pipeline management in a secure cloud environment. Spark ATS is suitable for organizations looking to simplify recruitment operations and manage their hiring process more efficiently.

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

Hiring teams, recruiters, HR departments, staffing agencies, recruitment agencies, and small to medium-sized businesses.

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

$5.22/month
Plans start at ₹499 per month. A free trial is available for new users.
Free Version Not Supported
Free Trial 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

Comspark Innov & Infra Pvt. Ltd.
Founded: 2008
Hyderabad, Telangana, India
comsparkinnovinfra.com/recruitment/

Alternatives

Spark Streaming

Spark Streaming

Apache Software Foundation

Alternatives

Grapphen

Grapphen

Grapphen LLC
Apache Spark

Apache Spark

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation

Categories

Unit Testing Supported

Categories

Applicant Tracking Supported

Integrations

Apache Spark Supported

Integrations

Apache Spark Not Supported
Claim Deequ and update features and information
Claim Deequ and update features and information
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Claim Spark ATS and update features and information