What users are saying about
13 Ratings
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Score 7.9 out of 100
3 Ratings
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Score 7.7 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

Db2 Big SQL

My recommendation obviously would depend on the application. But I think given the right requirements, IBM DB2 Big SQL is definitely a contender for a database platform. Especially when disparate data and multiple data stores are involved. I like the fact I can use the product to federate my data and make it look like it's all in one place. The engine is high performance and if you desire to use Hadoop, this could be your platform.
Gene Baker | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Data Science Workbench
7.3
Db2 Big SQL
Connect to Multiple Data Sources
Data Science Workbench
6.6
Db2 Big SQL
Extend Existing Data Sources
Data Science Workbench
7.6
Db2 Big SQL
Automatic Data Format Detection
Data Science Workbench
7.0
Db2 Big SQL
MDM Integration
Data Science Workbench
8.0
Db2 Big SQL

Data Exploration

Data Science Workbench
8.2
Db2 Big SQL
Visualization
Data Science Workbench
7.9
Db2 Big SQL
Interactive Data Analysis
Data Science Workbench
8.4
Db2 Big SQL

Data Preparation

Data Science Workbench
7.8
Db2 Big SQL
Interactive Data Cleaning and Enrichment
Data Science Workbench
7.4
Db2 Big SQL
Data Transformations
Data Science Workbench
8.0
Db2 Big SQL
Data Encryption
Data Science Workbench
8.0
Db2 Big SQL
Built-in Processors
Data Science Workbench
7.6
Db2 Big SQL

Platform Data Modeling

Data Science Workbench
8.2
Db2 Big SQL
Multiple Model Development Languages and Tools
Data Science Workbench
8.4
Db2 Big SQL
Automated Machine Learning
Data Science Workbench
7.0
Db2 Big SQL
Single platform for multiple model development
Data Science Workbench
8.3
Db2 Big SQL
Self-Service Model Delivery
Data Science Workbench
8.9
Db2 Big SQL

Model Deployment

Data Science Workbench
7.6
Db2 Big SQL
Flexible Model Publishing Options
Data Science Workbench
8.9
Db2 Big SQL
Security, Governance, and Cost Controls
Data Science Workbench
6.2
Db2 Big SQL

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

Db2 Big SQL

  • data storage
  • data manipulation
  • data definitions
  • data reliability
John Spies | TrustRadius Reviewer

Cons

Data Science Workbench

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

Db2 Big SQL

  • Cloud readiness.
  • Ease of implementation.
Gene Baker | TrustRadius Reviewer

Usability

Data Science Workbench

No score
No answers yet
No answers on this topic

Db2 Big SQL

Db2 Big SQL 8.0
Based on 1 answer
IBM DB2 is a solid service but hasn't seen much innovation over the past decade. It gets the job done and supports our IT operations across digital so it is fair.
John Spies | 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

Db2 Big SQL

Db2 Big SQL 8.6
Based on 2 answers
IBM did a good job of supporting us during our evaluation and proof of concept. They were able to provide all necessary guidance, answer questions, help us architect it, etc. We were pleased with the support provided by the vendor. I will caveat and say this support was all before the sale, however, we have a ton of IBM products and they provide the same high level of support for all of them. I didn't see this being any different. I give IBM support two thumbs up!
Gene Baker | TrustRadius Reviewer

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

Db2 Big SQL

MS SQL Server was ruled out given we didn't feel we could collapse environments. We thought of MS-SQL as more of a one for one replacement for Sybase ASE, i.e., server for server. SAP HANA was evaluated and given a big thumbs up but was rejected because the SQL would have to be rewritten at the time (now they have an accelerator so you don't have to). Also, there was a very low adoption rate within the enterprise. IBM DB2 Big SQL was not selected even though technically it achieved high scores, because we could not find readily available talent and low adoption rate within the enterprise (basically no adoption at the time). We ended up selecting Exadata because of the high adoption rate within the enterprise even though technically HANA and Big SQL were superior in our evaluations.
Gene Baker | TrustRadius Reviewer

Return on Investment

Data Science Workbench

  • Paid off for demonstration purposes.
Anonymous | TrustRadius Reviewer

Db2 Big SQL

  • better data visibility
  • solid reliability for mission critical data
John Spies | TrustRadius Reviewer

Pricing Details

Data Science Workbench

General

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

Db2 Big SQL

General

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

Rating Summary

Likelihood to Recommend

Data Science Workbench
7.7
Db2 Big SQL
7.0

Usability

Data Science Workbench
Db2 Big SQL
8.0

Support Rating

Data Science Workbench
6.7
Db2 Big SQL
8.6

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