Dataiku vs Izlo
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
| Β | Dataiku Agents | Izlo Agents |
|---|---|---|
| Tagline | Enterprise AI platform unifying data, ML, LLMs, and agents under one governed workflow. | Prompt management platform with version control, collaboration, and an API for production deployment. |
| Category | Agents | Agents |
| Pricing | EnterpriseΒ· Free Community edition + Cloud trial; paid tiers quote-based | PaidΒ· Solo $20/mo; Pro $25/user/mo; Enterprise $39/user/mo |
| Model | Multi-model (LLM Mesh: OpenAI, Anthropic, Bedrock, Vertex, OSS) | Model-agnostic |
| Editorial score | 8.3 / 10 | 6.9 / 10 |
| Use cases | enterprise-aiagent-orchestrationmlopsllm-governancedata-scienceanalytics | prompt-managementversion-controlteam-collaborationprompt-testingproduction-deployment |
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| Cons |
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| Website | dataiku.com | getizlo.com |
Pick Dataiku if
- β Unifies analytics, ML, LLMs, and agents in one governed platform
- β Strong low-code surface so non-engineers can ship
- β Mature MLOps, lineage, audit, and cost controls
- β Multi-cloud and on-prem deploys; broad data connector library
Pick Izlo if
- β Git-style version history and activity log for every prompt change
- β Remix sandbox isolates experiments from production prompts
- β REST API lets you swap prompts without redeploying the app
- β Built for multi-user team editing, not just solo developers