Databricks Unified Analytics Platform Reviews

24 Ratings
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Score 8.6 out of 100

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Reviews (1-4 of 4)

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Anonymous | TrustRadius Reviewer
January 31, 2019

Databricks for modern day ETL

Score 9 out of 10
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Verified User
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Alternatives Considered

Databricks was picked among other competitors. Closest competition in our organization was H2O.ai and Databricks came out to be more useful for ROI and time to market in our internal research.
We could have used AWS products, however Databricks notebooks and ability to launch clusters directly from notebooks was seen as a very helpful tool for non tech users.
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Ann Le | TrustRadius Reviewer
March 28, 2018

If you want to be an effective ML learner, use Databricks

Score 7 out of 10
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Verified User
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Alternatives Considered

  • Azure ML
I also use Microsoft Azure Machine Learning in parallel with Databricks. They use different file formats which teach me to be flexible and able to write different programs. They are equally useful to me and I would like to master both platforms for any future usage. I do prefer Databricks because it could be free if I decided to go with the Databricks Community Edition only.
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Anonymous | TrustRadius Reviewer
August 22, 2018

Databricks Review

Score 9 out of 10
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Alternatives Considered

When we started using it, only the notebook experience was mature. However, DB was very helpful giving us direct support to get onto their platform. Really there was little in the way to compare to them at the time. AWS has services but not the same low-cost angle.
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Anonymous | TrustRadius Reviewer
September 15, 2017

Databricks Review

Score 6 out of 10
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Alternatives Considered

  • iPython and Spark
Easier to set up and get started. Less of a learning curve.
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Databricks Unified Analytics Platform Scorecard Summary

Feature Scorecard Summary

Connect to Multiple Data Sources (1)
9
Extend Existing Data Sources (1)
9
Automatic Data Format Detection (1)
7
Visualization (1)
6
Interactive Data Analysis (1)
6
Interactive Data Cleaning and Enrichment (1)
8
Data Transformations (1)
9
Data Encryption (1)
7
Built-in Processors (1)
8
Multiple Model Development Languages and Tools (1)
9
Automated Machine Learning (1)
8
Single platform for multiple model development (1)
9
Self-Service Model Delivery (1)
7
Flexible Model Publishing Options (1)
7
Security, Governance, and Cost Controls (1)
8

About Databricks Unified Analytics Platform

Databricks in San Francisco offers the Databricks 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 Unified Analytics Platform Technical Details

Operating Systems: Unspecified
Mobile Application:No