Skip to content
SlateIndex
AWSVisual low-code tool for building AWS-backed apps from Figma designs
vs
DataikuThe Platform for AI Success
Comparison · MLOps Platforms · weekly run Nov 2

AWS vs Dataiku

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

Track both brands

The short answer

AWS is the stronger AI pick in MLOps Platforms: it has a visibility score of 35.7 versus 8.5 for Dataiku, and ranks ahead in 89% of the answers that name both.

Choose AWS if…

  • You want the brand AI engines rank higher (35.7 vs 8.5)
  • You need SOC 1 or SOC 2 or SOC 3 or ISO 27017 or ISO 27018 or ISO 27701 or PCI DSS Level 1 or FedRAMP or DoD SRG or ISO 9001 or ISO 27001 coverage
  • You prefer a larger, established vendor (5,000+ employees)
  • Core federation and multi-account management included at no extra charge

Choose Dataiku if…

  • AI answers describe it more positively (48% vs 16% 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

AI visibility side by side

Latest weekly run · Nov 2

Metric AWS Dataiku
Visibility score35.7%8.5%
Change vs last weekNewNew
Rank in MLOps Platforms#4#12
Share of voice7.5%2.9%
Mentions this run5120
Positive in AI answers16%48%

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 2AWS 36%

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

Engine by engine

AWS leads on 3 of 3 engines

ChatGPT
51.5%
12.2%
AI Mode
31.1%
9.3%
Perplexity
24.4%
3.9%
AWSDataiku

Head to head in AI answers

19 engine answers name both brands

17AWS ranked higher
2Dataiku ranked higher
PromptEngineAWSDataiku
What features matter most in an MLOps platform? ChatGPT#1#9
What are the best MLOps Platforms tools in 2026? ChatGPT#7#10
What are the best MLOps Platforms tools in 2026? AI Mode#3#8
What are the best MLOps Platforms tools in 2026? Perplexity#7#10
Best MLOps platform for enterprise ChatGPT#5#9
Best MLOps platform for enterprise AI Mode#3#9
Best MLOps platform for enterprise Perplexity#2#8
Which MLOps platform has the best reviews? ChatGPT#7#5
Compare the leading MLOps Platforms platforms ChatGPT#7#9
Compare the leading MLOps Platforms platforms AI Mode#3#9
Compare the leading MLOps Platforms platforms Perplexity#4#9
Most affordable MLOps platform that is still reliable AI Mode#5#2

Features, pricing & fit

DimensionAWSDataiku
Deployment—Runs on the clouds, data platforms and models a customer already has
ComplianceSOC 1, SOC 2, SOC 3, ISO 27017, ISO 27018, ISO 27701, PCI DSS Level 1, FedRAMP, DoD SRG, ISO 9001, ISO 27001ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR
Founded20212013
HeadquartersSeattle, WashingtonNew York City, NY
Employees5,000+1,001–5,000
Funding—Series E · $600M raised
Best for—Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance

Pros and cons

Themes from the AI answers that mention each brand

AWS

  • Core federation and multi-account management included at no extra charge
  • Enterprise-grade reliability and uptime on AWS infrastructure
  • Pay-as-you-go, usage-based pricing
  • Deep integration with the AWS ecosystem and AI tools
  • Recognised by analysts such as Gartner and ISG
  • Requires strong AWS engineering or technical expertise

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

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

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