AI Ecosystem With Dataiku

With Dataiku, you have options. Whether you're leveraging existing infrastructure or adopting new tools, seamlessly integrate with your ecosystem while having the flexibility to evolve your stack — all through a unified platform that reduces complexity and accelerates value.

Dive Into the Dataiku Partner Ecosystem

Meet our growing ecosystem of partners, focused on delivering value and innovation with Dataiku.

GenAI & Agents With Dataiku

Accelerate Value With Dataiku Cloud

Experience immediate value with Dataiku Cloud, our fully-managed SaaS platform. Dataiku Cloud eliminates infrastructure complexity while maintaining enterprise-grade security.

While Dataiku Cloud offers the fastest path to productivity with automatic updates and zero maintenance, we understand every enterprise has unique needs. That’s why we also support deployment on your preferred cloud provider, on-premises, or through custom installations to align with your organization’s specific requirements.

Explore Dataiku Cloud and Other Installations

A desktop with Dataiku Cloud interface showing three main nodes: Design, Automation, and API.

A grid of tech company logos organized into four categories: "Accelerate Computing" (showing NVIDIA), "Hosted LLM API Services" (various cloud/AI companies), "Self-Hosted LLM" (showing Meta and others), and "Vector Stores" (showing database/storage solutions).

Ride the Wave of Generative AI Advancements

Dataiku includes integrations to 15+ leading generative AI services and supporting technologies.

With Dataiku’s provider-agnostic approach, your team will always have access to the best generative AI services and models, giving you maximum agility and performance to meet your business needs both today and in the future.

Dive Into Generative AI in Dataiku

Tap Into Data From Every Source

Break down silos and unlock the full potential of all your data. Dataiku connects to any data — no matter where it is and in what format — so teams across your organization can securely access, combine, and derive value from a full range of data sources.

Connect seamlessly to industry-leading platforms like Snowflake, Databricks, and Amazon Redshift, cloud storage services including AWS S3 and Azure Blob Storage, and business applications such as Salesforce — all from a single platform.

Read About Dataiku's Universal Data Connectivity

The idea was that you would never be able to hire enough data professionals to meet the data demands of the business, so instead, why not turn the business into data professionals.

Jon Tudor

Director, Data and Analytics at GE Aviation

Scaling across different brands can be quite difficult due to differences in contexts and products. In the end, having a core development of those algorithms and being able to adapt to different contexts is very important. Dataiku helps us a lot in achieving this.

Aurélien Gascon

Group Head of Enterprise Architecture & Data Technology at LVMH

It was for us, the best overall ROI because of the skills that were required to use it. We didn't need a DevOps engineer, or as I mentioned earlier, data scientist and similar skillsets.

Mike Hoyt

SVP, Technology & Business Process at Thrive SPC

Extend Dataiku Through Custom Components

Transform complex processes into reusable, organization-wide components with Dataiku plugins. Teams can create custom plugins to standardize workflows, integrate specialized tools, and automate sophisticated processes — all while maintaining enterprise governance and security standards.

Or explore our extensive ecosystem of trusted partner solutions for ready-to-use components to accelerate time to value.

Explore Dataiku's Plugin Ecosystem

Build & Customize Models Your Way

Develop models and pipelines using your preferred languages and tools, from Python and R to Spark and MLflow. Use Dataiku to capture MLFlow experiment tracking details or to better understand external third-party models through model comparisons and explainability reports.

Dataiku centralizes everything for streamlined deployment and monitoring, ensuring optimal performance and governance across your entire AI ecosystem.

Learn How Data Scientists Use Their Favorite Tools in Dataiku

A Dataiku screen of model experiment tracking.

We use Dataiku to retrain the model every month to ensure it remains valid and efficient in tracking every fraud reset attempt and ensure that we are only productionizing models that are better than the previous ones.

Matthieu Dupuis

Head of AI at Bouygues Télécom

From building that model, validating that model, then putting it into production — the turnaround time was about 6-8 weeks. ... That's where we combine with platforms like Dataiku to build a system where you can deploy the models in days, not weeks. Making sure the algorithms you have in production are picking up the latest trends.

Subhadip Roy

Head of Machine Learning Engineering, AI, and Data at Deloitte

Maximize Computing Power Through GPUs & In-Database Execution

Leverage your existing infrastructure with Dataiku’s flexible computation architecture. Scale seamlessly across SQL databases, Spark, Kubernetes, and more, all while optimizing performance through intelligent workload distribution.

Dataiku adapts to your computing needs while maximizing resource efficiency — from training models with NVIDIA GPUs to running traditional analytics.

Discover How Dataiku and NVIDIA Make a Great Pair

Deploy to Many, Monitor From One

Streamline model deployment and monitoring across your entire AI infrastructure through Dataiku’s flexible deployment architecture. Push models to your preferred infrastructure, including AzureML, Databricks, Snowflake, SageMaker, and VertexAl.

Dataiku’s unified monitoring dashboard gives you comprehensive visibility across all deployments, ensuring consistent oversight and performance tracking.

Learn More About Deployment and XOps in Dataiku

Turn the Business Into AI Builders

With Dataiku and AWS, expert data science and business teams work together to create data and analytics projects using the collaborative, visual experience of Dataiku and the services for machine learning, AI, and elastic cloud infrastructure from AWS.

DEEP DIVE ON DATAIKU X AWS

Power AI Every Day

Dataiku and Databricks make AI capabilities accessible to business teams, helping deliver scalable analytics through quick and secure access to Databricks using the easy-to-use, visual interface of Dataiku.

DEEP DIVE ON DATAIKU X DATABRICKS

Create & Deploy Production-Ready AI

With Dataiku and Google Cloud, everyone across the organization — not just expert data scientists and engineers — can create, deploy, and manage AI-driven data projects at scale.

DEEP DIVE ON DATAIKU X GCP

AI-Driven Projects at Scale

Dataiku’s end-to-end data science platform deployed with Microsoft Azure Solutions and Products enables organizations of any size to deliver enterprise AI in a highly scalable, powerful, and collaborative environment.

DEEP DIVE ON DATAIKU X MICROSOFT

Where Everyday AI Meets the Data Cloud

Dataiku and Snowflake's integrated platform empowers data and domain experts to build advanced analytics and streamline operations with complete visibility and trust, while leveraging Snowflake's fast, secure processing capabilities and native support for SQL, Python, Java, and Scala through Snowpark.

DEEP DIVE ON DATAIKU X SNOWFLAKE