+
+

Related Products

  • DataBuck
    6 Ratings
    Visit Website
  • SCIKIQ
    14 Ratings
    Visit Website
  • Code-Cube.io
    7 Ratings
    Visit Website
  • DataHub
    10 Ratings
    Visit Website
  • Parasoft
    152 Ratings
    Visit Website
  • Okyline
    2 Ratings
    Visit Website
  • Gearset
    305 Ratings
    Visit Website
  • Checksum.ai
    2 Ratings
    Visit Website
  • QA Wolf
    273 Ratings
    Visit Website
  • Virtuoso QA
    131 Ratings
    Visit Website

About

DataKitchen is a DataOps software platform that helps organizations automate data quality testing, monitor data pipelines, and manage analytics workflows. Its product suite includes DataOps Data Quality TestGen, DataOps Process Observability, and DataOps Automation. TestGen automatically profiles databases, generates data quality tests, identifies anomalies, and monitors data reliability across existing data environments. DataOps Process Observability provides end-to-end visibility into data pipelines, datasets, and workflows to detect failures, delays, and performance bottlenecks. DataOps Automation enables teams to orchestrate data pipelines, manage development environments, automate deployments, and integrate testing into production workflows. The platform supports integrations with Snowflake, Databricks, BigQuery, Airflow, dbt, and other data technologies, with open-source and enterprise deployment options.

About

Accelerate AI innovation with cloud-native data integration on IBM Cloud Pak for data. AI-powered data integration, anywhere. Your AI and analytics are only as good as the data that fuels them. With a modern container-based architecture, IBM® DataStage® for IBM Cloud Pak® for Data delivers that high-quality data. It combines industry-leading data integration with DataOps, governance and analytics on a single data and AI platform. Automation accelerates administrative tasks to help reduce TCO. AI-based design accelerators and out-of-the-box integration with DataOps and data science services speed AI innovation. Parallelism and multicloud integration let you deliver trusted data at scale across hybrid or multicloud environments. Manage the data and analytics lifecycle on the IBM Cloud Pak for Data platform. Services include data science, event messaging, data virtualization and data warehousing. Parallel engine and automated load balancing.

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

Data engineers, analytics engineers, data scientists, data architects, DataOps teams, database administrators, business intelligence professionals, IT operations teams, and enterprises seeking automated data quality testing, pipeline observability, data workflow orchestration, and reliable analytics infrastructure

Audience

IBM Cloud Pak users who need a cloud-native insight platform

Support

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

No information available.
Free Version Not 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

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 Not 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

DataKitchen
Founded: 2013
United States
datakitchen.io

Company Information

IBM
Founded: 1911
United States
www.ibm.com/products/infosphere-datastage

Alternatives

Alternatives

IRI Voracity

IRI Voracity

IRI, The CoSort Company
IRI Data Manager

IRI Data Manager

IRI, The CoSort Company
Pentaho

Pentaho

Hitachi Vantara

Categories

Automated Testing Supported
Data Observability Supported
Data Pipeline Supported
Data Quality Supported
DataOps Supported

Categories

Big Data Supported
Data Integration Supported
Data Lineage Supported
Data Mapping Supported
ETL Supported

Integrations

ActiveBatch Workload Automation Not Supported
Docker Supported
FairCom DB Not Supported
FairCom EDGE Not Supported
Git Supported
GitHub Supported
IBM Watson Studio Not Supported
IRI FieldShield Not Supported
Jenkins Supported
Jira Supported
Kubernetes Supported
MettleCI Not Supported
Origina Not Supported
Pantomath Not Supported
PostgreSQL Supported
SQL Server Supported
Slack Supported
Stonebranch Not Supported

Integrations

ActiveBatch Workload Automation Supported
Docker Not Supported
FairCom DB Supported
FairCom EDGE Supported
Git Not Supported
GitHub Not Supported
IBM Watson Studio Supported
IRI FieldShield Supported
Jenkins Not Supported
Jira Not Supported
Kubernetes Not Supported
MettleCI Supported
Origina Supported
Pantomath Supported
PostgreSQL Not Supported
SQL Server Not Supported
Slack Not Supported
Stonebranch Supported
Claim DataKitchen DataOps Automation and update features and information
Claim DataKitchen DataOps Automation and update features and information
Claim IBM DataStage and update features and information
Claim IBM DataStage and update features and information