What users are saying about
62 Ratings
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Score 8.6 out of 100
219 Ratings
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Score 8.8 out of 100

Feature Set Ratings

    Platform Connectivity

    Databricks Lakehouse Platform

    Feature Set Not Supported
    N/A
    7.0

    IBM Watson Studio

    70%
    IBM Watson Studio on Cloud Pak for Data ranks higher in 4/4 features

    Connect to Multiple Data Sources

    N/A
    0 Ratings
    7.5
    75%
    21 Ratings

    Extend Existing Data Sources

    N/A
    0 Ratings
    7.1
    71%
    21 Ratings

    Automatic Data Format Detection

    N/A
    0 Ratings
    7.1
    71%
    20 Ratings

    MDM Integration

    N/A
    0 Ratings
    6.5
    65%
    14 Ratings

    Data Exploration

    Databricks Lakehouse Platform

    Feature Set Not Supported
    N/A
    7.6

    IBM Watson Studio

    76%
    IBM Watson Studio on Cloud Pak for Data ranks higher in 2/2 features

    Visualization

    N/A
    0 Ratings
    7.5
    75%
    21 Ratings

    Interactive Data Analysis

    N/A
    0 Ratings
    7.6
    76%
    21 Ratings

    Data Preparation

    Databricks Lakehouse Platform

    Feature Set Not Supported
    N/A
    7.4

    IBM Watson Studio

    74%
    IBM Watson Studio on Cloud Pak for Data ranks higher in 4/4 features

    Interactive Data Cleaning and Enrichment

    N/A
    0 Ratings
    7.2
    72%
    21 Ratings

    Data Transformations

    N/A
    0 Ratings
    7.5
    75%
    20 Ratings

    Data Encryption

    N/A
    0 Ratings
    7.3
    73%
    19 Ratings

    Built-in Processors

    N/A
    0 Ratings
    7.6
    76%
    20 Ratings

    Platform Data Modeling

    Databricks Lakehouse Platform

    Feature Set Not Supported
    N/A
    7.3

    IBM Watson Studio

    73%
    IBM Watson Studio on Cloud Pak for Data ranks higher in 4/4 features

    Multiple Model Development Languages and Tools

    N/A
    0 Ratings
    7.4
    74%
    20 Ratings

    Automated Machine Learning

    N/A
    0 Ratings
    7.1
    71%
    21 Ratings

    Single platform for multiple model development

    N/A
    0 Ratings
    7.3
    73%
    21 Ratings

    Self-Service Model Delivery

    N/A
    0 Ratings
    7.3
    73%
    19 Ratings

    Model Deployment

    Databricks Lakehouse Platform

    Feature Set Not Supported
    N/A
    6.5

    IBM Watson Studio

    65%
    IBM Watson Studio on Cloud Pak for Data ranks higher in 2/2 features

    Flexible Model Publishing Options

    N/A
    0 Ratings
    7.0
    70%
    21 Ratings

    Security, Governance, and Cost Controls

    N/A
    0 Ratings
    5.9
    59%
    21 Ratings

    Attribute Ratings

    • Databricks Lakehouse Platform (Unified Analytics Platform) is rated higher in 1 area: Likelihood to Recommend
    • IBM Watson Studio on Cloud Pak for Data is rated higher in 2 areas: Usability, Support Rating

    Likelihood to Recommend

    8.7

    Databricks Lakehouse Platform

    87%
    15 Ratings
    7.5

    IBM Watson Studio

    75%
    64 Ratings

    Likelihood to Renew

    Databricks Lakehouse Platform

    N/A
    0 Ratings
    8.2

    IBM Watson Studio

    82%
    1 Rating

    Usability

    9.0

    Databricks Lakehouse Platform

    90%
    3 Ratings
    9.6

    IBM Watson Studio

    96%
    2 Ratings

    Availability

    Databricks Lakehouse Platform

    N/A
    0 Ratings
    8.2

    IBM Watson Studio

    82%
    2 Ratings

    Performance

    Databricks Lakehouse Platform

    N/A
    0 Ratings
    8.2

    IBM Watson Studio

    82%
    2 Ratings

    Support Rating

    7.6

    Databricks Lakehouse Platform

    76%
    2 Ratings
    8.2

    IBM Watson Studio

    82%
    2 Ratings

    In-Person Training

    Databricks Lakehouse Platform

    N/A
    0 Ratings
    8.2

    IBM Watson Studio

    82%
    1 Rating

    Online Training

    Databricks Lakehouse Platform

    N/A
    0 Ratings
    8.2

    IBM Watson Studio

    82%
    1 Rating

    Implementation Rating

    Databricks Lakehouse Platform

    N/A
    0 Ratings
    7.3

    IBM Watson Studio

    73%
    2 Ratings

    Contract Terms and Pricing Model

    8.0

    Databricks Lakehouse Platform

    80%
    1 Rating

    IBM Watson Studio

    N/A
    0 Ratings

    Product Scalability

    Databricks Lakehouse Platform

    N/A
    0 Ratings
    8.2

    IBM Watson Studio

    82%
    1 Rating

    Professional Services

    10.0

    Databricks Lakehouse Platform

    100%
    1 Rating

    IBM Watson Studio

    N/A
    0 Ratings

    Vendor post-sale

    Databricks Lakehouse Platform

    N/A
    0 Ratings
    7.3

    IBM Watson Studio

    73%
    1 Rating

    Vendor pre-sale

    Databricks Lakehouse Platform

    N/A
    0 Ratings
    8.2

    IBM Watson Studio

    82%
    1 Rating

    Likelihood to Recommend

    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

    IBM

    If you are a small company with insufficient funding, it would be better to go with open source resources because they are free and do the same job. If you are a bigger company with enough resources, then IBM Watson Studio could be better in terms of security and accessibility.
    Read full review

    Pros

    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

    IBM

    • Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
    • SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
    • Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
    • Estimator validation lets data scientists test and prove different models.
    Read full review

    Cons

    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

    IBM

    • The cost is steep and so only companies with resources can afford it
    • It will be nice to have Chinese versions so that Chinese engineers can also use it easily
    • It takes a while to learn how to input different kinds of skin defects for detection
    Read full review

    Pricing 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

    IBM Watson Studio

    Starting Price

    Editions & Modules

    IBM Watson Studio 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

      Likelihood to Renew

      Databricks

      No answers on this topic

      IBM

      because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
      Read full review

      Usability

      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

      IBM

      The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
      Read full review

      Reliability and Availability

      Databricks

      No answers on this topic

      IBM

      From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected
      Read full review

      Performance

      Databricks

      No answers on this topic

      IBM

      Never had slow response even on our very busy network
      Read full review

      Support Rating

      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

      IBM

      I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path
      Read full review

      In-Person Training

      Databricks

      No answers on this topic

      IBM

      The trainers on the job are very smart with solutions and very able in teaching
      Read full review

      Online Training

      Databricks

      No answers on this topic

      IBM

      The Platform is very handy and suggests further steps according my previous interests
      Read full review

      Implementation Rating

      Databricks

      No answers on this topic

      IBM

      It surprised us with unpredictable case of use and brand new points of view
      Read full review

      Alternatives Considered

      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

      IBM

      The main reason I personally changed over from Azure ML Studio is because it lacked any support for significant custom modelling with packages and services such as TensorFlow, scikit-learn, Microsoft Cognitive Toolkit and Spark ML. IBM Watson Studio provides these services and does so in a well integrated and easy to use fashion making it a preferable service over the other services that I have personally used.
      Read full review

      Contract Terms and Pricing Model

      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

      IBM

      No answers on this topic

      Scalability

      Databricks

      No answers on this topic

      IBM

      It helped us in getting from 0 to DSX without getting lost
      Read full review

      Professional Services

      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

      IBM

      No answers on this topic

      Return on Investment

      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

      IBM

      • Could instantly show data driven insights to drive 20% incremental revenue over existing results
      • Still don't have a real use case for unstructured data like twitter feed
      • Some of the insights around user actions have driven new projects to automate mundane tasks
      Read full review

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