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DataikuThe Platform for AI Success
vs
OpenAI Agents SDKOpen-source Python and TypeScript framework for building AI agents.
Comparison · AI Agents · weekly run Nov 3

Dataiku vs OpenAI Agents SDK

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

The short answer

OpenAI Agents SDK is the stronger AI pick in AI Agents: it has a visibility score of 31.4 versus 1.7 for Dataiku, and ranks ahead in 50% of the answers that name both.

Choose Dataiku if…

  • AI answers describe it more positively (48% vs 45% positive)
  • You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or SOC 2 Type II or HIPAA or GxP or GDPR coverage
  • Bridges data scientists and business teams for collaboration
  • End-to-end governance and operationalization

Choose OpenAI Agents SDK if…

  • You want the brand AI engines rank higher (31.4 vs 1.7)
  • You need SOC 2 Type 2 or ISO/IEC 27001:2022 or ISO/IEC 27701:2019 or CSA STAR Level 1 coverage
  • Widely adopted platform for enterprise and developer agents
  • Streamlined framework for native GPT integration and function calling

AI visibility side by side

Latest weekly run · Nov 3

Metric Dataiku OpenAI Agents SDK
Visibility score1.7%31.4%
Change vs last weekNewNew
Rank in AI Agents#46#2
Share of voice0.7%5.8%
Mentions this run538
Positive in AI answers48%45%

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 3Dataiku 2%

Dataiku 0pp · OpenAI Agents SDK 0pp over 0 weekly runs.

Engine by engine

OpenAI Agents SDK leads on 3 of 3 engines

ChatGPT
0.9%
41.9%
AI Mode
0%
32.4%
Perplexity
4.1%
19.8%
DataikuOpenAI Agents SDK

Head to head in AI answers

2 engine answers name both brands

1Dataiku ranked higher
1OpenAI Agents SDK ranked higher
PromptEngineDataikuOpenAI Agents SDK
Which AI Agents vendors do analysts recommend? ChatGPT#25#14
Which AI Agents vendors do analysts recommend? Perplexity#12#19

Features, pricing & fit

DimensionDataikuOpenAI Agents SDK
DeploymentRuns on the clouds, data platforms and models a customer already hasRuns inside the customer's own application; the customer controls deployment, storage and approvals.
ComplianceISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPRSOC 2 Type 2, ISO/IEC 27001:2022, ISO/IEC 27701:2019, CSA STAR Level 1
Founded2013—
HeadquartersNew York City, NY1455 and 1515 Third Street, San Francisco
Employees1,001–5,000—
FundingSeries E · $600M raised$122 billion round closed March 31, 2026 at $852 billion post-money, anchored by Amazon, Nvidia and SoftBank · $180000M raised
Best forLarge enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governanceTeams already building on OpenAI models that want a lightweight framework to write their own agent logic.

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

OpenAI Agents SDK

  • Widely adopted platform for enterprise and developer agents
  • Streamlined framework for native GPT integration and function calling
  • Good for rapid prototyping
  • Access to foundational models and agent workflows via the OpenAI Platform
  • A framework rather than a complete enterprise automation suite
  • Requires separate payment for OpenAI model API usage

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

Cite as: SlateIndex, “Dataiku vs OpenAI Agents SDK”, https://slateindex.ai/compare/dataiku-vs-openai-agents-sdk, data of Nov 3, 2026. Licence: CC BY 4.0.