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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Verified User
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Pros and Cons

  • Process raw data in One Lake (S3) env to relational tables and views
  • Share notebooks with our business analysts so that they can use the queries and generate value out of the data
  • Try out PySpark and Spark SQL queries on raw data before using them in our Spark jobs
  • Modern day ETL operations made easy using Databricks. Provide access mechanism for different set of customers
  • Databricks should come with a fine grained access control mechanism. If I have tables or views created then access mechanism should be able to restrict access to certain tables or columns based on the logged in user
  • There should be improved graphing and dash boarding provided from within Databricks
  • Better integration with AWS could help me code jobs in Databricks and run them in AWS EMR more easily using better devops pipelines
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Anonymous | TrustRadius Reviewer
August 22, 2018

Databricks Review

Score 9 out of 10
Vetted Review
Verified User
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Pros and Cons

  • Extremely Flexible in Data Scenarios
  • Fantastic Performance
  • DB is always updating the system so we can have latest features.
  • Better Localized Testing
  • When they were primarily OSS Spark; it was easier to test/manage releases versus the newer DB Runtime. Wish there was more configuration in Runtime less pick a version.
  • Graphing Support went non-existent; when it was one of their compelling general engine.
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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
Vetted Review
Verified User
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Pros and Cons

  • Collaborative Development Environment using Notebooks.
  • Stable and Secure Cloud Development Environment requiring minimum DevOPs support
  • Fast with excellent scalability reduces time to market
  • Open source library support
  • Automation of Machine Learning Development
  • Optimization of GPU usage
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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
Vetted Review
Verified User
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Pros and Cons

  • There is databricks community, which is a free version. It is available for beginners to have an easy start with a big data platform. It does not have every feature of the full version but is still adequate for extremely new coders.
  • There are many resourceful training elements that are available to developers, data scientists, data engineers and other IT professionals to learn Apache Spark.
  • The navigation through which one would create a workspace is a bit confusing at first. It takes a couple minutes to figure out how to create a folder and upload files since it is not the same as traditional file systems such as box.com
  • Also, when you create a table, if you forgot to copy the link where the table is stored, it is hard to relocate it. Most of the time I would have to delete the table and re-created.
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Anonymous | TrustRadius Reviewer
September 15, 2017

Databricks Review

Score 6 out of 10
Vetted Review
Verified User
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Pros and Cons

  • Very simplified infrastructure initialization
  • Seamless and automated optimization of job execution
  • Simple tool to get used to
  • Visualization - Great area of improvement
  • Integration with Git
  • COST
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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