What users are saying about
14 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>
Score 7.3 out of 100
8 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>
Score 8.4 out of 100

Feature Set Ratings

    Platform Connectivity

    7.5

    Data Science Workbench

    75%

    Db2 Big SQL

    Feature Set Not Supported
    N/A
    Cloudera Data Science Workbench ranks higher in 4/4 features

    Connect to Multiple Data Sources

    7.0
    70%
    2 Ratings
    N/A
    0 Ratings

    Extend Existing Data Sources

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Automatic Data Format Detection

    7.0
    70%
    2 Ratings
    N/A
    0 Ratings

    MDM Integration

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Data Exploration

    7.6

    Data Science Workbench

    76%

    Db2 Big SQL

    Feature Set Not Supported
    N/A
    Cloudera Data Science Workbench ranks higher in 2/2 features

    Visualization

    7.1
    71%
    2 Ratings
    N/A
    0 Ratings

    Interactive Data Analysis

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Data Preparation

    7.8

    Data Science Workbench

    78%

    Db2 Big SQL

    Feature Set Not Supported
    N/A
    Cloudera Data Science Workbench ranks higher in 4/4 features

    Interactive Data Cleaning and Enrichment

    7.0
    70%
    2 Ratings
    N/A
    0 Ratings

    Data Transformations

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Data Encryption

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Built-in Processors

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Platform Data Modeling

    7.6

    Data Science Workbench

    76%

    Db2 Big SQL

    Feature Set Not Supported
    N/A
    Cloudera Data Science Workbench ranks higher in 4/4 features

    Multiple Model Development Languages and Tools

    8.0
    80%
    2 Ratings
    N/A
    0 Ratings

    Automated Machine Learning

    7.0
    70%
    1 Rating
    N/A
    0 Ratings

    Single platform for multiple model development

    7.1
    71%
    2 Ratings
    N/A
    0 Ratings

    Self-Service Model Delivery

    8.1
    81%
    2 Ratings
    N/A
    0 Ratings

    Model Deployment

    8.0

    Data Science Workbench

    80%

    Db2 Big SQL

    Feature Set Not Supported
    N/A
    Cloudera Data Science Workbench ranks higher in 2/2 features

    Flexible Model Publishing Options

    8.1
    81%
    2 Ratings
    N/A
    0 Ratings

    Security, Governance, and Cost Controls

    7.8
    78%
    2 Ratings
    N/A
    0 Ratings

    Attribute Ratings

    • IBM Db2 Big SQL is rated higher in 2 areas: Likelihood to Recommend, Support Rating

    Likelihood to Recommend

    8.9

    Data Science Workbench

    89%
    3 Ratings
    9.0

    Db2 Big SQL

    90%
    2 Ratings

    Usability

    Data Science Workbench

    N/A
    0 Ratings
    8.0

    Db2 Big SQL

    80%
    1 Rating

    Support Rating

    7.7

    Data Science Workbench

    77%
    3 Ratings
    8.8

    Db2 Big SQL

    88%
    4 Ratings

    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

    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

    Pricing Details

    Data Science Workbench

    General

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

    Starting Price

    Db2 Big SQL

    General

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

    Starting Price

    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 7.7
    Based on 3 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 8.8
    Based on 4 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

    Add comparison