Dataiku vs Domino Data Lab

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

Tagline

Dataiku

Enterprise AI platform unifying data, ML, LLMs, and agents under one governed workflow.

Domino Data Lab

Enterprise AI platform for building, deploying, and governing models and agents at scale.

Pricing

Dataiku

Enterprise· Basic: $10 · Pro: $20 · Enterprise: Contact sales

Domino Data Lab

Enterprise· Domino Cloud: Contact sales · Premium: Contact sales · Enterprise: Contact sales

Lowest paid tier

Dataiku

$10 · Basic

captured 2026-08-10

Domino Data Lab

—

Free trial

Dataiku

Yes

Domino Data Lab

Not listed

API

Dataiku

Yes

Domino Data Lab

Yes

Platforms

Dataiku

api

Domino Data Lab

api

Model used

Dataiku

Multi-model (LLM Mesh: OpenAI, Anthropic, Bedrock, Vertex, OSS)

Domino Data Lab

Multi-model

Best for

Dataiku

Pick Dataiku if you're a large org that wants one governed platform for ML, analytics, LLMs, and agents instead of stitching five vendors together.

Domino Data Lab

Pick Domino if you are a large enterprise data-science org that needs governed, reproducible model and agent development across mixed Python/R/SAS workloads.

Not for

Dataiku

Skip it if you're an indie dev or startup looking for a self-serve agent builder with transparent monthly pricing.

Domino Data Lab

Skip it if you are an individual developer or small startup just shipping an LLM app - the governance overhead and enterprise pricing will not pay off.

Editorial score

Dataiku

8.3 / 10

Domino Data Lab

7.2 / 10

Use cases

Dataiku

enterprise-aiagent-orchestrationmlopsllm-governancedata-scienceanalytics

Domino Data Lab

enterprise mlopsagentic aimodel governancereproducible researchai app deployment

Pros

Dataiku

Unifies analytics, ML, LLMs, and agents in one governed platform
Strong low-code surface so non-engineers can ship
Mature MLOps, lineage, audit, and cost controls
Multi-cloud and on-prem deploys; broad data connector library
LLM Mesh abstracts vendors with PII and policy guardrails

Domino Data Lab

End-to-end coverage: build, deploy, and govern in one platform
Strong reproducibility and audit trails for regulated industries
Supports SAS, R, Python, and modern LLM/agent frameworks
Runs across cloud, hybrid, and on-prem environments
Established vendor with major enterprise references

Cons

Dataiku

Enterprise-only pricing; no public price list
Heavy platform that's overkill for small teams
Learning curve across the visual + code surface
Agent tooling is newer than its ML/analytics core

Domino Data Lab

No public pricing; sales-led procurement only
Overkill for solo developers or small teams
Heavyweight setup compared to lightweight MLOps tools
Less buzz than newer pure-play LLM agent platforms

Website

Dataiku

dataiku.com

Domino Data Lab

domino.ai

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.

Pick Dataiku if

✅ Unifies analytics, ML, LLMs, and agents in one governed platform
✅ Strong low-code surface so non-engineers can ship
✅ Mature MLOps, lineage, audit, and cost controls
✅ Multi-cloud and on-prem deploys; broad data connector library

Pick Domino Data Lab if

✅ End-to-end coverage: build, deploy, and govern in one platform
✅ Strong reproducibility and audit trails for regulated industries
✅ Supports SAS, R, Python, and modern LLM/agent frameworks
✅ Runs across cloud, hybrid, and on-prem environments

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