13 Ratings
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Score 7.9 out of 100
41 Ratings
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Score 6.5 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

Cloudera Enterprise Data Hub

Cloudera Enterprise offers the right mix of components to build a robust data platform which supports both reporting and analytics which can deal with all sorts of data.
Rakesh Neelavar Rao | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Data Science Workbench
7.3
Cloudera Enterprise Data Hub
Connect to Multiple Data Sources
Data Science Workbench
6.6
Cloudera Enterprise Data Hub
Extend Existing Data Sources
Data Science Workbench
7.6
Cloudera Enterprise Data Hub
Automatic Data Format Detection
Data Science Workbench
7.0
Cloudera Enterprise Data Hub
MDM Integration
Data Science Workbench
8.0
Cloudera Enterprise Data Hub

Data Exploration

Data Science Workbench
8.2
Cloudera Enterprise Data Hub
Visualization
Data Science Workbench
7.9
Cloudera Enterprise Data Hub
Interactive Data Analysis
Data Science Workbench
8.4
Cloudera Enterprise Data Hub

Data Preparation

Data Science Workbench
7.8
Cloudera Enterprise Data Hub
Interactive Data Cleaning and Enrichment
Data Science Workbench
7.4
Cloudera Enterprise Data Hub
Data Transformations
Data Science Workbench
8.0
Cloudera Enterprise Data Hub
Data Encryption
Data Science Workbench
8.0
Cloudera Enterprise Data Hub
Built-in Processors
Data Science Workbench
7.6
Cloudera Enterprise Data Hub

Platform Data Modeling

Data Science Workbench
8.2
Cloudera Enterprise Data Hub
Multiple Model Development Languages and Tools
Data Science Workbench
8.4
Cloudera Enterprise Data Hub
Automated Machine Learning
Data Science Workbench
7.0
Cloudera Enterprise Data Hub
Single platform for multiple model development
Data Science Workbench
8.3
Cloudera Enterprise Data Hub
Self-Service Model Delivery
Data Science Workbench
8.9
Cloudera Enterprise Data Hub

Model Deployment

Data Science Workbench
7.6
Cloudera Enterprise Data Hub
Flexible Model Publishing Options
Data Science Workbench
8.9
Cloudera Enterprise Data Hub
Security, Governance, and Cost Controls
Data Science Workbench
6.2
Cloudera Enterprise Data Hub

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

Cloudera Enterprise Data Hub

  • One of the oldest distributors of enterprise standard Hadoop.
  • Distribution is based on open source Hadoop even though customizations are done on top of that.
  • Faster updates and bug fixes to the products as they have Apache committers.
  • Central configuration and control of your Hadoop platform (but still needs improvements).
Anonymous | TrustRadius Reviewer

Cons

Data Science Workbench

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

Cloudera Enterprise Data Hub

  • As any new technology, difficult to hire resources who know the solution specially in APJC to help with Lab and PoC activities.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

Data Science Workbench

No score
No answers yet
No answers on this topic

Cloudera Enterprise Data Hub

Cloudera Enterprise Data Hub 8.2
Based on 7 answers
Cloudera is expanding with varied range of products and it looks to me as a challenging company and very competitive in the Big Data market. I would recommend to using the latest stable version as new features are added with each version and different bugs are fixed. As Big data is a constantly evolving so trying new Cloudera products helps businesses to stay competitive in the market domain as every big organization is now trying to move to Big Data.
Anonymous | TrustRadius Reviewer

Support Rating

Data Science Workbench

Data Science Workbench 6.7
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

Cloudera Enterprise Data Hub

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

Cloudera Enterprise Data Hub

I have not evaluated any similar products, and in fact, don't know of any direct competitor. Amazon's Redshift has a similar spirit.
Lois Garcia, GSEC | TrustRadius Reviewer

Return on Investment

Data Science Workbench

  • Paid off for demonstration purposes.
Anonymous | TrustRadius Reviewer

Cloudera Enterprise Data Hub

  • The tools in Cloudera Enterprise have enabled us to perform seamless upgrades and monitor the clusters
  • Investing in the support enables us to engage with Cloudera to get access to required patches and backports in case of bugs which helps with wider adoption of open source software in the enterprise.
  • Voice of the customer enabled us to put forth requests for new features across various components.
Rakesh Neelavar Rao | TrustRadius Reviewer

Pricing Details

Data Science Workbench

General

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

Cloudera Enterprise Data Hub

General

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

Rating Summary

Likelihood to Recommend

Data Science Workbench
7.7
Cloudera Enterprise Data Hub
7.8

Likelihood to Renew

Data Science Workbench
Cloudera Enterprise Data Hub
8.2

Support Rating

Data Science Workbench
6.7
Cloudera Enterprise Data Hub

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