Databricks Lakehouse Platform Reviews

32 Ratings
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Score 8.3 out of 100

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January 31, 2019
Anonymous | TrustRadius Reviewer
Score 9 out of 10
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Usability

9
This has been very useful in my organization for shared notebooks, integrated data pipeline automation and data sources integrations. Integration with AWS is seamless. Non tech users can easily learn how to use Databricks.
You can have your company LDAP connect to it for login based access controls to some extent.
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Databricks Lakehouse Platform Scorecard Summary

What is Databricks Lakehouse Platform?

Databricks in San Francisco offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service aims to provide a reliable and scalable platform for data pipelines, data lakes, and data platforms. Users can manage full data journey, to ingest, process, store, and expose data throughout an organization. Its Data Science Workspace is a collaborative environment for practitioners to run all analytic processes in one place, and manage ML models across the full lifecycle. The Machine Learning Runtime (MLR) provides data scientists and ML practitioners with scalable clusters that include popular frameworks, built-in AutoML and optimizations.

Databricks Lakehouse Platform Pricing

  • Does not have featureFree Trial Available?No
  • Does not have featureFree or Freemium Version Available?No
  • Does not have featurePremium Consulting/Integration Services Available?No
  • Entry-level set up fee?No
EditionPricing DetailsTerms
Standard$0.07Per DBU
Premium$0.10Per DBU
Enterprise$0.13Per DBU

Databricks Lakehouse Platform Technical Details

Deployment Types:SaaS
Operating Systems: Unspecified
Mobile Application:No

Frequently Asked Questions

What is Databricks Lakehouse Platform?

Databricks in San Francisco offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service aims to provide a reliable and scalable platform for data pipelines, data lakes, and data platforms. Users can manage full data journey, to ingest, process, store, and expose data throughout an organization. Its Data Science Workspace is a collaborative environment for practitioners to run all analytic processes in one place, and manage ML models across the full lifecycle. The Machine Learning Runtime (MLR) provides data scientists and ML practitioners with scalable clusters that include popular frameworks, built-in AutoML and optimizations.

Who uses Databricks Lakehouse Platform?

The most common users of Databricks Lakehouse Platform are from Enterprises and the Information Technology & Services industry.