14 Ratings
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Score 7.6 out of 100
40 Ratings
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Score 8.6 out of 100

Likelihood to Recommend

Data Science Workbench

Organizations which already implemented on-premise Hadoop based Cloudera Data Platform (CDH) for their Big Data warehouse architecture will definitely get more value from seamless integration of Cloudera Data Science Workbench (CDSW) with their existing CDH Platform. However, for organizations with hybrid (cloud and on-premise) data platform without prior implementation of CDH, implementing CDSW can be a challenge technically and financially.
Anonymous | TrustRadius Reviewer

Databricks Lakehouse Platform

[Databricks Lakehouse Platform (Unified Analytics Platform)] makes the power of Spark accessible. Databricks's proactive and customer-centric service. It is a highly adaptable solution for data engineering, data science, and AI. Load times are not consistent and no ability to restrict data access to specific users or groups.
Gilrod Maerina | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Data Science Workbench
7.4
Databricks Lakehouse Platform
Connect to Multiple Data Sources
Data Science Workbench
6.9
Databricks Lakehouse Platform
Extend Existing Data Sources
Data Science Workbench
7.9
Databricks Lakehouse Platform
Automatic Data Format Detection
Data Science Workbench
7.0
Databricks Lakehouse Platform
MDM Integration
Data Science Workbench
8.0
Databricks Lakehouse Platform

Data Exploration

Data Science Workbench
7.7
Databricks Lakehouse Platform
Visualization
Data Science Workbench
7.2
Databricks Lakehouse Platform
Interactive Data Analysis
Data Science Workbench
8.1
Databricks Lakehouse Platform

Data Preparation

Data Science Workbench
7.8
Databricks Lakehouse Platform
Interactive Data Cleaning and Enrichment
Data Science Workbench
7.1
Databricks Lakehouse Platform
Data Transformations
Data Science Workbench
8.0
Databricks Lakehouse Platform
Data Encryption
Data Science Workbench
8.0
Databricks Lakehouse Platform
Built-in Processors
Data Science Workbench
7.9
Databricks Lakehouse Platform

Platform Data Modeling

Data Science Workbench
7.7
Databricks Lakehouse Platform
Multiple Model Development Languages and Tools
Data Science Workbench
8.1
Databricks Lakehouse Platform
Automated Machine Learning
Data Science Workbench
7.0
Databricks Lakehouse Platform
Single platform for multiple model development
Data Science Workbench
7.3
Databricks Lakehouse Platform
Self-Service Model Delivery
Data Science Workbench
8.2
Databricks Lakehouse Platform

Model Deployment

Data Science Workbench
7.9
Databricks Lakehouse Platform
Flexible Model Publishing Options
Data Science Workbench
8.2
Databricks Lakehouse Platform
Security, Governance, and Cost Controls
Data Science Workbench
7.6
Databricks Lakehouse Platform

Pros

Data Science Workbench

  • One single IDE (browser based application) that makes Scala, R, Python integrated under one tool
  • For larger organizations/teams, it lets you be self reliant
  • As it sits on your cluster, it has very easy access of all the data on the HDFS
  • Linking with Github is a very good way to keep the code versions intact
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

Databricks Lakehouse Platform

  • 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
Anonymous | TrustRadius Reviewer

Cons

Data Science Workbench

  • Installation is difficult.
  • Upgrades are difficult.
  • Licensing options are not flexible.
Anonymous | TrustRadius Reviewer

Databricks Lakehouse Platform

  • 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.
Anonymous | TrustRadius Reviewer

Usability

Data Science Workbench

No score
No answers yet
No answers on this topic

Databricks Lakehouse Platform

Databricks Lakehouse Platform 9.0
Based on 1 answer
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
Anonymous | TrustRadius Reviewer

Support Rating

Data Science Workbench

Data Science Workbench 7.7
Based on 2 answers
Cloudera Data Science Workbench has excellence online resources support such as documentation and examples. On top of that the enterprise license also comes with SLA on opening a ticket to Cloudera Services and support for complaint handling and troubleshooting by email or through a phone call. On top of that it also offers additional paid training services.
Anonymous | TrustRadius Reviewer

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

Alternatives Considered

Data Science Workbench

Both the tools have similar features and have made it pretty easy to install/deploy/use. Depending on your existing platform (Cloudera vs. Azure) you need to pick the Workbench. Another observation is that Cloudera has better support where you can get feedback on your questions pretty fast (unlike MS). As its a new product, I expect MS to be more efficient in handling customers questions.
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

Databricks Lakehouse Platform

Databricks has a much better edge than Synapse in hundred different ways. Databricks has Photon engine, faster available release in cloud and databricks does not run on Open source spark version so better optimization, better performance and better agility and all kind of performance boost can be achieved in Databricks rather Open source synapse spark
Anonymous | TrustRadius Reviewer

Return on Investment

Data Science Workbench

  • Paid off for demonstration purposes.
Anonymous | TrustRadius Reviewer

Databricks Lakehouse Platform

  • 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.
Ann Le | TrustRadius Reviewer

Pricing Details

Data Science Workbench

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Data Science Workbench Editions & Modules

Additional Pricing Details

Databricks Lakehouse Platform

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Databricks Lakehouse Platform Editions & Modules

Edition
Standard$0.071
Premium$0.101
Enterprise$0.131
  1. Per DBU
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Data Science Workbench
8.7
Databricks Lakehouse Platform
8.7

Usability

Data Science Workbench
Databricks Lakehouse Platform
9.0

Support Rating

Data Science Workbench
7.7
Databricks Lakehouse Platform

Add comparison