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:
With Dataiku Data Science Studio You Can:
Dataiku Data Science Studio Benefits and Features:
Features Users Find Most Valuable:
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.
Dataiku Data Science Studio is ranked 8th in Data Science Platforms with 1 review while H2O.ai is ranked 18th in Data Science Platforms. Dataiku Data Science Studio is rated 9.0, while H2O.ai 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 Alteryx, Databricks, Microsoft Azure Machine Learning Studio, KNIME and Domino Data Science Platform, whereas H2O.ai is most compared with Microsoft Azure Machine Learning Studio, KNIME, Amazon SageMaker, Databricks and Alteryx.
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