Databricks Unified Analytics Platform Reviews

19 Ratings
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Score 8.9 out of 100

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Reviews (1-5 of 5)

Anonymous | TrustRadius Reviewer
January 31, 2019

Databricks for modern day ETL

Score 9 out of 10
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Likelihood to Recommend

Databricks has helped my teams write PySpark and Spark SQL jobs and test them out before formally integrating them in Spark jobs. Through Databricks we can create parquet and JSON output files. Datamodelers and scientists who are not very good with coding can get good insight into the data using the notebooks that can be developed by the engineers.
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Anonymous | TrustRadius Reviewer
August 22, 2018

Databricks Review

Score 9 out of 10
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Likelihood to Recommend

  • DB generally fits 95% of what you need to do
  • Primarily the ability to transform data and or do ad-hoc DS work
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Anonymous | TrustRadius Reviewer
August 22, 2018

Databricks provides a cost effective end to end solution for Enterprise analytics

Score 9 out of 10
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Likelihood to Recommend

Great end to end analytics solution on AWS or Azure. Databricks continues to grow based on customer feedback. Just like everyone in the industry, they are focused on Machine Learning, but they also understand a complete solution is needed.
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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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Likelihood to Recommend

Right now, I am learning about Spark ML and general machine learning concepts. It is a good practice space to run different Spark ML codes. Databricks does provide valid errors and detailed descriptions of where I can fix my code. And to run a set of codes is very easy to maneuver around. If you do not know how to code, it might be less appropriate to use Databricks. But then again, they do have a large community where help can be found.
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Anonymous | TrustRadius Reviewer
September 15, 2017

Databricks Review

Score 6 out of 10
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Likelihood to Recommend

When you have analysts that are not cloud-savvy, this tool helps them quickly run code and not be overwhelmed by infrastructure and optimization. [It's] Less appropriate in production deployments.
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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.
Categories:  Data Warehouse,  Data Science

Databricks Unified Analytics Platform Technical Details

Operating Systems: Unspecified
Mobile Application:No