Databricks vs Dataiku
Relationship
Agent Bricks and Dataiku Agent Hub both serve buyers who need to watch an AI agent for suspicious or runaway behaviour; smaller scale (private).
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
7 of 12 capabilities — Shares agent orchestration, data analysis, evaluation and observability and 4 more.
Ludbee capability tags · from the product recordsShared product type — Both ship agent platform, infrastructure service and platform.
Ludbee product recordsSmaller scale — Dataiku: $3.7B valuation, against Databricks's $190B valuation.
Ludbee scale figures · valuation, market cap or revenue estimateAligned comparison
Capability overlap
Shared · 7
Not verified for Dataiku · 5
Recorded for Databricks. Dataiku’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Databricks · 1
Recorded for Dataiku. Databricks’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Databricks
Agent platform
A control plane for building, evaluating, governing and monitoring AI agents across proprietary and open-source models, with native MCP support.
Platform
Databricks' tooling for building, fine-tuning, serving and evaluating models and agents on lakehouse data.
Lakehouse platform for storing, governing, querying and sharing enterprise data.
Infrastructure service
Enterprise AI gateway providing centralized cost tracking/budgets, model access (Claude, GPT, Gemini, Grok and others), security/governance (access policies, PII/PHI filtering, audit trails), smart routing and observability across an organization's AI systems.
Dataiku
Agent platform
Centralised control plane inside the Dataiku platform for creating, orchestrating, deploying and tracking AI agents across teams.
Expert-to-Agent engine that converts subject-matter-expert know-how into governed AI agents grounded in enterprise data with structured reasoning and human oversight.
Platform
Platform for building, deploying and governing data, machine-learning and agent workflows across an organisation.
Infrastructure service
Cross-platform governance product that discovers every AI agent an enterprise is running -- on Microsoft Copilot Studio, Azure Foundry, Salesforce Agentforce, AWS Bedrock, Google Vertex, Databricks, Snowflake Cortex, n8n or Dataiku itself -- measures each agent's business and technical performance, and flags the ones that pose the greatest risk. Announced 2026-09-24; distinct from Dataiku Agent Hub, which creates and operationalizes agents rather than discovering and governing agents built anywhere.
Control layer over the Dataiku LLM Mesh that caps LLM spend, screens prompts and outputs for sensitive or malicious content, and scores model output quality.
Centralised gateway that routes, meters and governs an organisation's connections to multiple LLM providers from inside the Dataiku platform.
No counterpart
Databricks sells these in a stack layer with no product recorded for Dataiku yet — nothing on the other side to compare them against.
Application
AI-native business-intelligence product comprising AI/BI Dashboards (AI-assisted dashboard/visualization creation) and Genie Spaces (conversational natural-language exploration of data), built into the Databricks Data + AI Platform with Unity Catalog governance and no per-seat licensing.
AI coworker (the evolution of the earlier Databricks Assistant/Genie) that lets business users ask questions, take action and drive outcomes over enterprise data via natural language, integrating with Slack, Teams, Jira, Google Drive and Salesforce, with mobile apps.
Developer tool
A managed service for fine-tuning open-source LLMs or training custom models on enterprise data using dedicated GPU infrastructure.
Data service
A managed hybrid semantic, keyword and vector search service (formerly Mosaic AI Vector Search) with automatic data sync and Unity Catalog governance.
Model API
A managed endpoint service for deploying and governing classical ML models, generative models and agents from one interface.
Dataiku sells these in a stack layer with no product recorded for Databricks yet — nothing on the other side to compare them against.
AI agent
AI building agent that turns a business objective written in plain language into a governed Dataiku project of data pipelines, models, agents and applications rendered as an editable visual workflow.