Dataiku for Tech Experts

What is Dataiku for Tech Experts?

Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 500 companies worldwide use Dataiku to systemize their use of data, analytics, and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.

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Enterprise (500+)

Competitive Advantage

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. 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. Spark & K8S Clusters: Fully Managed (at Scale) Dataiku can either leverage existing Spark and Kubernetes clusters or create and manage its own clusters (leveraging cloud platforms). 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. 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 EN Dataiku Product Dataiku for Tech Experts 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 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) Dataiku can either leverage existing Spark and Kubernetes clusters or create and manage its own clusters (leveraging cloud platforms). 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. EXPLORE DATAIKU MACHINE LEARNING CAPABILITIES 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.