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Compare Dataiku Data Science Studio vs. H2O.ai

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6,663 views|4,543 comparisons
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 quite stable."

More Dataiku Data Science Studio Pros »

"The most valuable features are the machine learning tools, the support for Jupyter Notebooks, and the collaboration that allows you to share it across people."

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Cons
"The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective."

More Dataiku Data Science Studio Cons »

"On the topic of model training and model governance, this solution cannot handle ten or twelve models running at the same time."

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554,873 professionals have used our research since 2012.
Ranking
10th
Views
16,282
Comparisons
10,265
Reviews
3
Average Words per Review
690
Rating
8.0
15th
Views
6,663
Comparisons
4,543
Reviews
1
Average Words per Review
475
Rating
7.0
Comparisons
Also Known As
Dataiku DSS
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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.”

H2O is a fully open source, distributed in-memory machine learning platform with linear scalability. H2O’s supports the most widely used statistical & machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. H2O also has an industry leading AutoML functionality that automatically runs through all the algorithms and their hyperparameters to produce a leaderboard of the best models. The H2O platform is used by over 14,000 organizations globally and is extremely popular in both the R & Python communities.

Offer
Learn more about Dataiku Data Science Studio
Learn more about H2O.ai
Sample Customers
BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
poder.io, Stanley Black & Decker, G5, PWC, Comcast, Cisco
Top Industries
VISITORS READING REVIEWS
Computer Software Company25%
Comms Service Provider15%
Financial Services Firm12%
Energy/Utilities Company7%
VISITORS READING REVIEWS
Computer Software Company27%
Comms Service Provider16%
Financial Services Firm9%
Energy/Utilities Company5%
Company Size
VISITORS READING REVIEWS
Small Business19%
Midsize Enterprise14%
Large Enterprise68%
REVIEWERS
Small Business13%
Midsize Enterprise25%
Large Enterprise63%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: November 2021.
554,873 professionals have used our research since 2012.

Dataiku Data Science Studio is ranked 10th in Data Science Platforms with 1 review while H2O.ai is ranked 15th in Data Science Platforms with 1 review. Dataiku Data Science Studio is rated 9.0, while H2O.ai is rated 7.0. The top reviewer of Dataiku Data Science Studio writes "Flexible and intuitive with good stability". On the other hand, the top reviewer of H2O.ai writes "Good collaboration functionality, but better integration with Python for data science is needed". Dataiku Data Science Studio is most compared with Alteryx, Databricks, Microsoft Azure Machine Learning Studio, KNIME and Domino Data Science Platform, whereas H2O.ai is most compared with KNIME, Microsoft Azure Machine Learning Studio, 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.