Agentic Index

Agentic Index

Dataiku vs Databricks Agent Bricks (2026)

Dataiku and Databricks Agent Bricks both sell enterprises a governed path to production AI agents on corporate data: Dataiku offers a Free Edition and a 14 day cloud trial, with paid enterprise editions priced by users and capabilities through sales, its LLM Mesh centralizing model spend controls across providers, while Agent Bricks is the Databricks native framework with agent evaluation and governance on consumption based DBU pricing across clouds. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Organizations wanting platform neutrality across data stacks and a visual multi tool environment lean Dataiku; lakehouse committed organizations that want agents inheriting Unity Catalog governance lean Agent Bricks.

On the Agentic Index agent observability ranking, Dataiku and Databricks Agent Bricks both clear the bar: each documents all three reliability loop capabilities in full. 85 of the 554 platforms it grades clear it. See the agent observability ranking

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Dataiku and Databricks Agent Bricks are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Dataiku if

  • Platform neutrality across your data estate is strategic.
  • The LLM Mesh's centralized model governance appeals to your team.
  • Visual tooling for mixed skill teams matters in your organization.

Choose Databricks Agent Bricks if

  • Your data gravity is Databricks and agents should inherit its governance.
  • DBU consumption pricing through existing commitments eases procurement.
  • Built in agent evaluation on the lakehouse is the requirement.
Feature
D
Dataiku
D
Databricks Agent Bricks
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.
Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.
Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.
Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.
Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.
Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
D
Dataiku
D
Databricks Agent Bricks

Entry price

Lowest public entry point

 Free Edition and a 14 day cloud trial. Paid editions are quoted by sales. Usage based pricing on Databricks Units (DBUs), billed per second, after a free trial. There is no seat price.

Pricing confidence

How public the numbers are

 Public, partial Public, partial

Billing

Primary billing axis

 Paid editions are priced by number of users and by the platform capabilities enabled. Consumption of Databricks Units (DBUs) for compute and Databricks Storage Units (DSUs) for storage, billed per second at price list rates that vary by cloud and product. Model APIs bill per token or by provisioned throughput.

Variable cost

Workload / overage exposure

 Medium variable cost High variable cost

Free tier / trial

Try before you buy
Free tierTrial
No free tierTrial

Buying motion

Self-serve vs sales call

 Sales call Mixed
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