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DataikuThe Platform for AI Success
vs
LangfuseOpen Source Agent Evals & Observability
Comparison · MLOps Platforms · weekly run Nov 2

Dataiku vs Langfuse

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Dataiku is the stronger AI pick in MLOps Platforms: it has a visibility score of 8.5 versus 0.3 for Langfuse.

Choose Dataiku if…

  • You want the brand AI engines rank higher (8.5 vs 0.3)
  • You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or HIPAA or GxP coverage
  • Bridges data scientists and business teams for collaboration
  • End-to-end governance and operationalization

Choose Langfuse if…

  • AI answers describe it more positively (50% vs 48% positive)
  • You need a self-hosted or on-premises option
  • You need ISO 27001 or HIPAA-ready region coverage
  • Discounted cloud pricing for qualifying early-stage startups

AI visibility side by side

Latest weekly run · Nov 2

Metric Dataiku Langfuse
Visibility score8.5%0.3%
Change vs last weekNewNew
Rank in MLOps Platforms#12#51
Share of voice2.9%0.2%
Mentions this run201
Positive in AI answers48%50%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2Dataiku 9%

Dataiku 0pp · Langfuse 0pp over 0 weekly runs.

Engine by engine

Dataiku leads on 3 of 3 engines

ChatGPT
12.2%
0%
AI Mode
9.3%
0.9%
Perplexity
3.9%
0%
DataikuLangfuse

Head to head in AI answers

0 engine answers name both brands

0Dataiku ranked higher
0Langfuse ranked higher

Features, pricing & fit

DimensionDataikuLangfuse
Pricing model—Usage-based
Entry price—Free; paid from $29 / mo
Free plan—Yes
DeploymentRuns on the clouds, data platforms and models a customer already hasLangfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license
Integrations—100+
ComplianceISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPRSOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR
Support—Community support via GitHub, In-app support, Private Slack or MS Teams channel on Pro and Enterprise plans, Named lead support engineer on Enterprise plans
Founded2013—
HeadquartersNew York City, NY—
Employees1,001–5,000—
FundingSeries E · $600M raisedSeed · $4M raised
Best forLarge enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governanceEngineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation

Plans side by side

Dataiku

Pricing not available.

Langfuse

Hobby$0month
Core$29month
Pro$199month
Enterprise$2,499month
Langfuse pricing

Pros and cons

Themes from the AI answers that mention each brand

Dataiku

  • Bridges data scientists and business teams for collaboration
  • End-to-end governance and operationalization
  • Broad enterprise MLOps platform
  • Best for enterprise collaboration and governance
  • Steep platform fees that scale aggressively

Langfuse

  • Discounted cloud pricing for qualifying early-stage startups
  • Well suited to evaluating and debugging LLM or agent behavior

    Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

    Cite as: SlateIndex, “Dataiku vs Langfuse”, https://slateindex.ai/compare/dataiku-vs-langfuse, data of Nov 2, 2026. Licence: CC BY 4.0.