Dataiku for Tech Experts

Storage and Compute Agnostic

Dataiku can run on-premise or in the cloud — with supported instances on Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure — integrating with storage and various computational layers for each cloud.

EXPLORE DATAIKU ARCHITECTURE CAPABILITIES

Any IDE, Git-Enabled

Dataiku provides an integrated development environment for Python, R, Julia, and Scala from which you can transparently access data sources without having to manage connectivity issues. Leverage Dataiku:

• In a “Notebook” style (with Jupyter Notebook).
• In a “Visual Flow” style (by creating a flow of computation represented graphically in the tool).
• By connecting your own IDE (SublimeText, Visual Studio) to the platform. 

All developments can be managed in Git.

DISCOVER ALL DATAIKU PROGRAMMING LANGUAGES

Spark & K8S Clusters:
Fully Managed (at Scale)

SEE IT IN ACTION

Powerful Extensions
via Dataiku Plugins

Dataiku Plugins enable developers to take control and expand any part of the platform by building powerful extensions to out-of-the-box functionality using Python or Java. Dataiku plugins can help connect to new data sources, provide and encapsulate a new algorithm visually for non-coders, integrate an IT process within Dataiku, and much more. Dataiku can be further extended via APIs, and it integrates with Jira and Jenkins.

BROWSE EXISTING DATAIKU PLUGINS

Build a Robust Data Architecture, End-to-End

Dataiku architecture is built around a pattern that systematizes the push down of computation into existing technologies, and it provides all the building blocks to enable data architects to build their own robust data architecture:

• Data validators to protect the architecture against changes in underlying data sources.
• Robust deployment with auto-scale, versioning, and rollback for both batch data pipelines and real-time model scoring. 
• A smart data reconstruction engine for efficient incremental data recomputation.

 

EXPLORE DATAIKU MLOPS CAPABILITIES

Create Thousands of Models to Find the Best One

Leverage Dataiku AutoML to quickly create best-in-class models with automated testing of multiple algorithms and parameters. Or take full control over all training settings, algorithm settings, and the optimization process, including writing your own custom models and using advanced deep learning models

Dataiku supports the four most popular machine learning engines — Python, Spark, H2O, TensorFlow — and has more than 32 different core algorithms.

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Automate and Monitor With APIs

Dataiku provides an extensive API for platform setup, administration, and deployment (including automating the deployment of the full solution or new services). Administration extensions let you integrate Dataiku within your existing monitoring IT stack.

EXPLORE DATAIKU DATAOPS CAPABILITIES