14 Ratings
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Score 6.8 out of 100
63 Ratings
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Score 8.5 out of 100

Feature Set Ratings

    Platform Connectivity

    7.5

    Data Science Workbench

    75%

    Databricks Lakehouse Platform

    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%

    Databricks Lakehouse Platform

    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%

    Databricks Lakehouse Platform

    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%

    Databricks Lakehouse Platform

    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%

    Databricks Lakehouse Platform

    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

    • Cloudera Data Science Workbench is rated higher in 2 areas: Likelihood to Recommend, Support Rating

    Likelihood to Recommend

    9.0

    Data Science Workbench

    90%
    3 Ratings
    8.7

    Databricks Lakehouse Platform

    87%
    15 Ratings

    Usability

    Data Science Workbench

    N/A
    0 Ratings
    9.1

    Databricks Lakehouse Platform

    91%
    3 Ratings

    Support Rating

    7.8

    Data Science Workbench

    78%
    3 Ratings
    7.6

    Databricks Lakehouse Platform

    76%
    2 Ratings

    Contract Terms and Pricing Model

    Data Science Workbench

    N/A
    0 Ratings
    8.0

    Databricks Lakehouse Platform

    80%
    1 Rating

    Professional Services

    Data Science Workbench

    N/A
    0 Ratings
    10.0

    Databricks Lakehouse Platform

    100%
    1 Rating

    Likelihood to Recommend

    Cloudera

    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.
    Read full review

    Databricks

    If you need a managed big data megastore, which has native integration with highly optimized Apache Spark Engine and native integration with MLflow, go for Databricks Lakehouse Platform. The Databricks Lakehouse Platform is a breeze to use and analytics capabilities are supported out of the box. You will find it a bit difficult to manage code in notebooks but you will get used to it soon.
    Read full review

    Pros

    Cloudera

    • 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
    Read full review

    Databricks

    • 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
    Read full review

    Cons

    Cloudera

    • Installation is difficult.
    • Upgrades are difficult.
    • Licensing options are not flexible.
    Read full review

    Databricks

    • 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.
    Read full review

    Pricing Details

    Data Science Workbench

    Starting Price

    Editions & Modules

    Data Science Workbench editions and modules pricing
    EditionModules

    Footnotes

      Offerings

      Free Trial
      Free/Freemium Version
      Premium Consulting/Integration Services

      Entry-level set up fee?

      No setup fee

      Additional Details

      Databricks Lakehouse Platform

      Starting Price

      $0.07 Per DBU

      Editions & Modules

      Databricks Lakehouse Platform editions and modules pricing
      EditionModules
      Standard$0.071
      Premium$0.102
      Enterprise$0.133

      Offerings

      Free Trial
      Free/Freemium Version
      Premium Consulting/Integration Services

      Entry-level set up fee?

      No setup fee

      Additional Details

      Usability

      Cloudera

      No answers on this topic

      Databricks

      Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.

      in terms of graph generation and interaction it could improve their UI and UX
      Read full review

      Support Rating

      Cloudera

      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.
      Read full review

      Databricks

      One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.
      Read full review

      Alternatives Considered

      Cloudera

      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.
      Read full review

      Databricks

      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
      Read full review

      Contract Terms and Pricing Model

      Cloudera

      No answers on this topic

      Databricks

      The problem with this tool and all other ones that are at the top of the industry, it's so expensive that soon as another one will be on the market and deliver the same or different value, it will be catastrophic for them. So you get the fact that they are cashing every dime right now like SAS or Hadoop once did. Now, look at them
      Read full review

      Professional Services

      Cloudera

      No answers on this topic

      Databricks

      Again, another level of professional services, this is not their biggest strength but this is the cherry on top. I couldn't think about any other professional services like this one. Now I'm talking about meaningful services that really help out our project and delivery.
      Read full review

      Return on Investment

      Cloudera

      • Paid off for demonstration purposes.
      Read full review

      Databricks

      • 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.
      Read full review

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