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Databricks vs IBM Watson Studio comparison

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30,779 views|25,469 comparisons
IBM Watson Studio Logo
5,414 views|4,343 comparisons
Featured Review
Find out what your peers are saying about Databricks vs. IBM Watson Studio and other solutions. Updated: January 2022.
563,208 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The solution is very easy to use.""It's great technology.""It's easy to increase performance as required.""The most valuable feature is the ability to use SQL directly with Databricks.""Databricks helps crunch petabytes of data in a very short period of time.""Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data.""The initial setup is pretty easy.""Ability to work collaboratively without having to worry about the infrastructure."

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"The system's ability to take a look at data, segment it and then use that data very differently.""It has a lot of data connectors, which is extremely helpful.""IBM Watson Studio consistently automates across channels."

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Cons
"There should be better integration with other platforms.""The integration of data could be a bit better.""It's not easy to use, and they need a better UI.""I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases.""Overall it's a good product, however, it doesn't do well against any individual best-of-breed products.""There are no direct connectors — they are very limited.""Pricing is one of the things that could be improved.""Anyone who doesn't know SQL may find the product difficult to work with."

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"Some of the solutions are really good solutions but they can be a little too costly for many.""The initial setup was complex.""It's sometimes easy to get lost given the number of images the solution opens up when you click on the mouse and the amount of different tabs."

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Pricing and Cost Advice
  • "Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
  • "We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
  • "The pricing depends on the usage itself."
  • "I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
  • "The price is okay. It's competitive."
  • "Databricks uses a price-per-use model, where you can use as much compute as you need."
  • "There are different versions."
  • "The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."
  • More Databricks Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: 
    Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with… more »
    Top Answer: 
    We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It… more »
    Top Answer: 
    Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their… more »
    Top Answer: 
    We are looking to automate (parts of) our budgeting and financial forecasting cycle
    Ranking
    2nd
    Views
    30,779
    Comparisons
    25,469
    Reviews
    22
    Average Words per Review
    531
    Rating
    7.9
    12th
    Views
    5,414
    Comparisons
    4,343
    Reviews
    2
    Average Words per Review
    551
    Rating
    8.5
    Comparisons
    Also Known As
    Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
    Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
    Learn More
    Overview

    Databricks creates a Unified Analytics Platform that accelerates innovation by unifying data science, engineering, and business. It utilizes Apache Spark to help clients with cloud-based big data processing. It puts Spark on “autopilot” to significantly reduce operational complexity and management cost. The Databricks I/O module (DBIO) improves the read and write performance of Apache Spark in the cloud. An increase in productivity is ensured through Databricks’ collaborative workplace.

    IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

    Offer
    Learn more about Databricks
    Learn more about IBM Watson Studio
    Sample Customers
    Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
    GroupM, Accenture, Fifth Third Bank
    Top Industries
    REVIEWERS
    Financial Services Firm15%
    Computer Software Company15%
    Mining And Metals Company15%
    Energy/Utilities Company8%
    VISITORS READING REVIEWS
    Computer Software Company27%
    Comms Service Provider15%
    Financial Services Firm8%
    Government5%
    VISITORS READING REVIEWS
    Comms Service Provider24%
    Computer Software Company21%
    Educational Organization7%
    Government6%
    Company Size
    REVIEWERS
    Small Business11%
    Midsize Enterprise18%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise19%
    Large Enterprise56%
    REVIEWERS
    Small Business78%
    Large Enterprise22%
    Find out what your peers are saying about Databricks vs. IBM Watson Studio and other solutions. Updated: January 2022.
    563,208 professionals have used our research since 2012.

    Databricks is ranked 2nd in Data Science Platforms with 22 reviews while IBM Watson Studio is ranked 12th in Data Science Platforms with 3 reviews. Databricks is rated 7.8, while IBM Watson Studio is rated 8.6. The top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". On the other hand, the top reviewer of IBM Watson Studio writes "Machine learning that can be applicable for other data sets without having to carry out the process all over again". Databricks is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Azure Stream Analytics, Alteryx and Dataiku Data Science Studio, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Google Cloud Datalab, Amazon SageMaker and Anaconda. See our Databricks vs. IBM Watson Studio report.

    See our list of best Data Science Platforms vendors.

    We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.