Maintain Tech Optionality & Agility With Dataiku

Dataiku Product, Scaling AI Catie Grasso

We recently surveyed 200 analytics and IT leaders on all things Generative AI, tech stacks, data challenges, and more, and a staggering 60% have more than five tools for each step in the analytics and AI lifecycle.

The arrival and adoption of Generative AI in the enterprise highlights the importance of being ready for whatever comes next — and maintaining tech optionality is critical when the tech landscape is transforming before our eyes. But an overly complex tech stack makes the integration of new tech even more difficult.

So, how does Dataiku enable IT leaders to maintain optionality and agility? 

Dataiku: A 3x Gartner® Magic Quadrant™ Leader

Dataiku was recently named a Leader for the third year in the new 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms. Among all evaluated vendors, Dataiku is placed furthest on the “Completeness of Vision” axis.

Dataiku is the only vendor that is not tied to specific infrastructure or cloud vendors. Dataiku can support a multi-cloud data strategy, and this extends to our LLM provider connections — you can use models from any cloud or provider platform. Dataiku supports cloud agnosticity and optionality via:

  • Flexible platform deployment: Leverage a fully hosted SaaS offering or deploy Dataiku on your cloud of choice.
  • Dataiku Cloud: Access the power of Dataiku in a fully managed cloud environment, ensuring scalability and innovation in just minutes.
  • Infrastructure-agnostic, modular architecture: Orchestrate pipelines and models on top of your existing tech stack.
  • Elastic AI and pushdown compute: Managed, highly scalable compute using technologies such as SQL, databases, Spark, Kubernetes, and more.
  • LLM Mesh: A common backbone to deliver safe, scalable, cost-effective, and future-proof LLM applications aligned with your operations and governance principles (more on this below).

Dataiku: Purpose-Built for Multi-Cloud AI at Scale

Dataiku, the Universal AI Platform, can be deployed wherever, whenever — which enables organizations of any size to deliver enterprise AI in a highly scalable, powerful, and collaborative environment. Dataiku helps organizations quickly realize the value of cloud providers and adopt data science practices for multi-cloud AI at scale.

Take the example of a large telecommunications company managing a massive and complex IT stack. A team of IT data science experts built deep learning models leveraging their cloud providers’ tools, and they had fantastic results — the models were able to spot emerging service disruptions in ways that humans could not.

The problem in their case was scale. They estimated that given the time it took for them to craft those deep learning models and to get them up and running, it meant that across the 40,000 services that they would ideally instrument and measure, it would take 40 years to get there and do all the work. Instead, they leveraged Dataiku to scale much faster, using it as an orchestration layer to handle (and automate) much of the work that they didn’t need to do themselves.

The elastic scale of the cloud is an enabler and accelerator for AI adoption. With Dataiku, organizations take advantage of this elastic scale and enable everyone across the enterprise to create and engage with analytics and AI. The cloud and Dataiku are a perfect fit.

-Clément Stenac, Chief Technology Officer and Co-Founder, Dataiku

Last year, Dataiku was the 3x AI partner of the year — Dataiku received three partner of the year awards from some of the biggest and most influential names in data and AI: Snowflake, Databricks, and AWS. Most recently, Dataiku was named 2024 Databricks innovation partner of the year for seamlessly integrating AI (including Generative AI) with the Databricks Data Intelligence Platform.  

Still not sure about how we work with cloud and compute providers? Check out this blog series for a detailed overview by partner. 

Dataiku Partners: LLM Mesh and Beyond

The Dataiku LLM Mesh is the most comprehensive and agnostic LLM gateway offering on the market, partnering with the top Generative AI players for secure access to thousands of LLMs (both as a service or self-managed). 

Dataiku LLM Mesh

The LLM Mesh, like Dataiku overall, is infrastructure agnostic and vendor independent, enabling choice and flexibility among the growing number of models and providers. Unlike other platforms that are aligned to specific cloud infrastructure or model provider's offerings, Dataiku connects to the latest AI services from ALL major commercial LLM providers, as well as model hubs like Hugging Face, if you choose to use open source models and self-host.

Similar to our long-time approach to machine learning, Dataiku's focus for Generative AI is on making the technology accessible and usable by customers in their existing enterprise environments, instead of focusing on providing our own models and compute. The choice and agility provided by Dataiku enables IT leaders to future-proof their applications and take advantage of new tech without rebuilding and ensures optionality to make performance and cost tradeoffs across all providers and models.

Gartner does not endorse any vendor, product, or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

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