DataKitchen DataOps AutomationDataKitchen
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Related Products
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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.
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About
Manta is an automated data lineage platform that helps organizations record, track, visualize, and optimize how data flows from its origin through transformation to consumption across their entire data environment, delivering full visibility and control of data pipelines that manual methods can’t match. It automatically scans metadata, SQL code, ETL workflows, BI/report definitions, and other data sources with support for dozens of technologies to build detailed, end-to-end lineage maps showing where data comes from, how it’s transformed, and where it’s used, enabling accurate impact analysis, root-cause tracing, and error detection. It provides rich visualizations with dynamic filtering, granular lineage at table and column levels, and APIs for integration with metadata catalogs, CI/CD workflows, and governance systems, reducing manual effort and accelerating DataOps, migrations, compliance, and governance initiatives.
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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
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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
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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
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Audience
Enterprise data teams, data engineers, and analytics leaders in search of a solution to support governance, compliance, and operational efficiency
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$29.99 per month
Free Version
Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationDataKitchen
Founded: 2013
United States
datakitchen.io
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Company InformationManta
Founded: 2023
United States
manta.app/
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Categories |
Categories |
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Integrations
Docker
Supported
Git
Supported
GitHub
Supported
Google Cloud BigQuery
Supported
Jenkins
Supported
Jira
Supported
Kubernetes
Supported
PostgreSQL
Supported
SQL
Not Supported
SQL Server
Supported
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Integrations
Docker
Not Supported
Git
Not Supported
GitHub
Not Supported
Google Cloud BigQuery
Not Supported
Jenkins
Not Supported
Jira
Not Supported
Kubernetes
Not Supported
PostgreSQL
Not Supported
SQL
Supported
SQL Server
Not Supported
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