Dataiku for Tech Experts
Quick experimentation and operationalization for machine learning at scale.
"The most beneficial thing about Dataiku is having everything in one place, so you don’t have to go from one program to another to another and have them work all at the same time. Dataiku takes away that hassle."Ayca Kandur, Data Scientist Aviva
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 CAPABILITIESAny 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
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 PLUGINSBuild 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.
EXPLORE DATAIKU MACHINE LEARNING CAPABILITIESAutomate 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