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Dataiku DSS

Dataiku is a platform that unifies analytics, models, and AI agents within a single governed system for enterprise AI.

Venture Funded$147MSeries DBattery VenturesFirstMark CapitalBalderton Capital

predictive analyticsmachine learningcollaborationdata governance

About

The vendor states that Dataiku brings analytics, models, and AI agents together in a single governed system to provide orchestration, visibility, and control for enterprise AI. The platform supports agentic transformation, scalable machine learning, modernized analytics, AI orchestration, and AI governance. Dataiku allows users to design, deploy, and improve AI agents using enterprise data, analytics, and business logic, with decision governance. It offers visual and code agents for building structured, multi-step agents with visual logic blocks or full-code frameworks, combining prompts, tools, APIs, and models into governed reasoning workflows. The platform includes an Agent Hub for centralizing agent creation, collaboration, lifecycle management, and orchestration, enabling tasks to be routed across agents, models, and tools. The Dataiku LLM Mesh is described as a tool to abstract and switch LLM providers with centralized routing, quotas, monitoring, and safety controls to manage cost and risk. Dataiku integrates with technology partners including Anthropic, AWS, Azure, Databricks, Google Cloud, Mistral, Nvidia, OpenAI, and Snowflake. The platform is applicable across industries such as financial services, life sciences, manufacturing, retail & CPG, utilities & energy, and public sector.

Read from dataiku.com on 2026-08-26. We describe what the vendor states; we do not audit it.

Enterprise Readiness

from cataloged data

70/100 · Strong

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, On-Premise, Hybrid

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

6 documented use cases

Company MaturityStrong

Founded 2013 · Series D

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Enterprise Use Cases

Customer churn prediction

Fraud detection

Demand forecasting

Predictive maintenance

Marketing campaign optimization

Credit risk modeling

Integrations

AWSAzureGoogle CloudSnowflakeDatabricksTableauSalesforceKubernetes

How Dataiku DSS compares

Tool	Readiness	Pricing	Deployment	Compliance	Integrations
Dataiku DSS	70 · Strong	Enterprise	Cloud, On-Premise, Hybrid	—	8
Celonis Process Intelligence	70 · Strong	Enterprise	Cloud, On-Premise, Hybrid	—	8
DataBricks AutoML	68 · Strong	Enterprise	Cloud, Hybrid, Self-Hosted	—	8
Rapidminer	67 · Strong	Freemium	Cloud, On-Premise, Hybrid	—	8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Dataiku DSS used for?

Dataiku DSS is dataiku is a platform that unifies analytics, models, and AI agents within a single governed system for enterprise AI. It is commonly used for customer churn prediction, fraud detection, demand forecasting, and predictive maintenance.

Is Dataiku DSS free, and how is it priced?

Dataiku DSS uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.

How can Dataiku DSS be deployed?

Dataiku DSS supports Cloud, On-Premise, and Hybrid deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

What does Dataiku DSS integrate with?

Dataiku DSS documents 8 integrations, including AWS, Azure, Google Cloud, Snowflake, Databricks, and Tableau.

When was Dataiku DSS founded?

Dataiku DSS was founded in 2013 and has raised $147M in funding.

Is Dataiku DSS enterprise-ready?

Based on cataloged data, Dataiku DSS has an Enterprise Readiness score of 70/100 (Strong tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingEnterprise

DeploymentCloud, On-Premise, Hybrid

Founded2013

Funding$147M

CategoryAnalytics & BI

Procurement

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