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Dataiku Data Science Studio vs IBM Watson Studio comparison

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Buyer's Guide
Data Science Platforms
June 2022
Find out what your peers are saying about Databricks, Alteryx, Knime and others in Data Science Platforms. Updated: June 2022.
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Questions from the Community
Top Answer:Data Science Studio's data science model is very useful.
Top Answer:I think it would help if Data Science Studio added some more features and improved the data model.
Top Answer:The use case is data science, and we've deployed Data Science Studio in multiple regions for four environments: dev, preset, pre-production, and production.
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Ranking
8th
Views
15,281
Comparisons
9,675
Reviews
2
Average Words per Review
433
Rating
9.5
13th
Views
5,435
Comparisons
4,386
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
Dataiku DSS
Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
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Overview

Dataiku Data Science Studio is the collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver their own data products more efficiently.

Dataiku Data Science Studio is also known as Dataiku DSS. This solution enables you to discover, share, and reuse code and applications so that you can deliver high-quality projects easily and streamline your path to production. As an enterprise leader, you can leverage the power of AI to confidently make business decisions.

With Dataiku, an intuitive interface is guaranteed and allows users the ability to access and work with data using a point-and-click method. Dataiku analyzes the data to suggest key transformations. Beyond offering 109 data transformation capabilities, Dataiku also includes pipelines that can be generated in SQL which can thereafter be scheduled for automated recomputation.

What's more, Dataiku allows you to create more than 20 different kinds of charts and also gives you the ability to deploy them into dashboards or create custom web applications for the use of interactive and sophisticated visualization tools.

In addition, with Dataiku you have the option of using an in-depth statistical analysis, including but not limited to: curves fitting, univariate and bivariate analysis, principal component analysis, correlation analysis, and statistical tests.

Dataiku Data Science Studio Consists Of:

  • Data preparation
  • Visualization
  • Machine Learning
  • Data Ops
  • ML Ops
  • Analytic Apps

With Dataiku Data Science Studio You Can:

  • Integrate any data 10x faster
  • Build and automate sophisticated data pipelines
  • Build and share insights in minutes
  • Perform in-depth statistical analysis
  • Create thousands of models to find the best ones
  • Explore and explain models

Dataiku Data Science Studio Benefits and Features:

  • Use your favorite languages and tools: You can create code working with tools you are already familiar with in the language you prefer (Python, R, SQL, etc.)
  • Easily reuse and share code: This feature helps you reduce inefficiencies and inconsistent data. Dataiku includes project libraries, allowing teams to centralize and share code. Although it comes pre-loaded with starter code for tasks, it also provides you with the ability to add your own code snippets.
  • Simplify complexities related to connecting to data and configuring computer resources: With this feature, data scientists can execute code in both a containerized and distributed way, while also selecting the runtime environment they want. Dataiku works to maintain those containers as well as shut them down when the job is completed.

Features Users Find Most Valuable:

  • API
  • Reporting/Analytics
  • Third-Party Integrations
  • Data Import/Export
  • Natural Language Processing
  • Search/Filter
  • Monitoring
  • Workflow Management

Reviews from Real Users

IT Central Station users note that Dataiku Data Science Studio has a fantastic interface and is also flexible, intuitive, and stable. One user said "I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person." Another user mentioned “The best feature is the user interface. It allows us to see the visual flows.”

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 Dataiku Data Science Studio
Learn more about IBM Watson Studio
Sample Customers
BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
GroupM, Accenture, Fifth Third Bank
Top Industries
VISITORS READING REVIEWS
Computer Software Company23%
Comms Service Provider13%
Financial Services Firm13%
Energy/Utilities Company6%
VISITORS READING REVIEWS
Comms Service Provider21%
Computer Software Company20%
Financial Services Firm9%
Educational Organization8%
Company Size
VISITORS READING REVIEWS
Small Business15%
Midsize Enterprise13%
Large Enterprise72%
REVIEWERS
Small Business78%
Large Enterprise22%
VISITORS READING REVIEWS
Small Business18%
Midsize Enterprise16%
Large Enterprise65%
Buyer's Guide
Data Science Platforms
June 2022
Find out what your peers are saying about Databricks, Alteryx, Knime and others in Data Science Platforms. Updated: June 2022.
608,713 professionals have used our research since 2012.

Dataiku Data Science Studio is ranked 8th in Data Science Platforms with 2 reviews while IBM Watson Studio is ranked 13th in Data Science Platforms. Dataiku Data Science Studio is rated 9.6, while IBM Watson Studio is rated 0.0. The top reviewer of Dataiku Data Science Studio writes "Flexible and intuitive with good stability". On the other hand, Dataiku Data Science Studio is most compared with Databricks, Alteryx, Microsoft Azure Machine Learning Studio, Amazon SageMaker and Anaconda, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Amazon SageMaker, Databricks and Alteryx.

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.