Databricks Lakehouse Platform

Databricks Lakehouse Platform

About TrustRadius Scoring
Score 8.7 out of 100
Databricks Lakehouse Platform (Unified Analytics Platform)

Overview

Recent Reviews

Databricks--a good all-rounder

9 out of 10
May 28, 2021
We use Databricks Lakehouse Platform (Unified Analytics Platform) in our ETL process (data loading) to perform transformations and to …
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Databricks for modern day ETL

9 out of 10
January 31, 2019
Data from APIs is streamed into our One Lake environment. This one lake is S3 on AWS.
Once this raw data is on S3, we use Databricks to …
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Databricks Review

9 out of 10
August 22, 2018
We leverage Databricks (DB) to run Big Data workloads. Primarily we build a Jar and attach to DB. We do not leverage the notebooks except …
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Databricks Review

6 out of 10
September 15, 2017
Across whole organization.

[It's] Used by self-service analysts to quickly do analysis
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Reviewer Pros & Cons

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Pricing

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Standard

$0.07

Cloud
Per DBU

Premium

$0.10

Cloud
Per DBU

Enterprise

$0.13

Cloud
Per DBU

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

Features Scorecard

No scorecards have been submitted for this product yet..

Product Details

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 Technical Details

Deployment TypesSaaS
Operating SystemsUnspecified
Mobile ApplicationNo

Comparisons

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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.

What is Databricks Lakehouse Platform's best feature?

Reviewers rate Usability highest, with a score of 9.

Who uses Databricks Lakehouse Platform?

The most common users of Databricks Lakehouse Platform are from Enterprises (1,001+ employees) and the Information Technology & Services industry.

Reviews

(1-15 of 15)
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Score 8 out of 10
Vetted Review
Verified User
Review Source
  • Dataset version management became much easier.
  • Spark jobs execution became much faster compared to self managed clusters.
  • Cluster management simplified.
  • Our big data cluster became much secure due to integration with SAML.
  • Production code management became a bit complicated because only notebooks are allowed to be executed.
Surendranatha Reddy Chappidi | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Making the data available from new data sources which were not available previously
  • Reduced the data granularity and availability from 24 hours to 15 minutes, so that business leaders and stakeholders can take better and faster decisions
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • ROI for us has been tremendous. Time to market by processing raw data in our big data infrastructure has been pretty fast.
  • Non engineers can easily use Databricks, hence helping business customers.
  • Thousands of different data combinations can easily be joined and used by our data teams.
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Rapid growth of analytics within our company.
  • Cost model aligns with usage allowing us to make a reasonable initial investment and scale the cost as we realize the value.
  • Platform is easy to learn and Databricks provides excellent support and training.
  • Platform does not require a large DevOPs investment
August 22, 2018

Databricks Review

Score 9 out of 10
Vetted Review
Verified User
Review Source
  • The ability to spin up a BIG Data platform with little infrastructure overhead allows us to focus on business value not admin
  • DB has the ability to terminate/time out instances which helps manage cost.
  • The ability to quickly access typical hard to build data scenarios easily is a strength.
Ann Le | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Review Source
  • Machine learning is a very new concept and not many universities offer to teach it. My school and a few others have been utilizing Databricks as one of the tools to teach and learn machine learning. By doing this, my university is creating a strong future workforce for the job market.