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Amazon SageMaker AIFully managed machine learning service
vs
DataikuThe Platform for AI Success
Comparison · MLOps Platforms · weekly run Nov 2

Amazon SageMaker AI vs Dataiku

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

The short answer

Amazon SageMaker AI is the stronger AI pick in MLOps Platforms: it has a visibility score of 44.4 versus 8.5 for Dataiku, and ranks ahead in 89% of the answers that name both.

Choose Amazon SageMaker AI if…

  • You want the brand AI engines rank higher (44.4 vs 8.5)
  • You need SOC 2 or FedRAMP Moderate or FedRAMP High or ISO 27001 or PCI-DSS coverage
  • You prefer a larger, established vendor (5,000+ employees)
  • End-to-end managed platform for building, training, and deploying ML models

Choose Dataiku if…

  • AI answers describe it more positively (48% vs 29% positive)
  • You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or SOC 2 Type II 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 Amazon SageMaker AI Dataiku
Visibility score44.4%8.5%
Change vs last weekNewNew
Rank in MLOps Platforms#3#12
Share of voice8%2.9%
Mentions this run5420
Positive in AI answers29%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 2Amazon SageMaker AI 44%

Amazon SageMaker AI 0pp · Dataiku 0pp over 0 weekly runs.

Engine by engine

Amazon SageMaker AI leads on 3 of 3 engines

ChatGPT
48.5%
12.2%
AI Mode
43.9%
9.3%
Perplexity
40.9%
3.9%
Amazon SageMaker AIDataiku

Head to head in AI answers

18 engine answers name both brands

16Amazon SageMaker AI ranked higher
2Dataiku ranked higher

Features, pricing & fit

DimensionAmazon SageMaker AIDataiku
DeploymentCloud and edge environments, with real-time and batch inferenceRuns on the clouds, data platforms and models a customer already has
ComplianceSOC 2, HIPAA, FedRAMP Moderate, FedRAMP High, ISO 27001, PCI-DSSISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR
Founded20172013
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

Amazon SageMaker AI

  • End-to-end managed platform for building, training, and deploying ML models
  • Deep integration with the AWS ecosystem
  • Scalable training and deployment
  • Strong reviews, around 4.3/5 on G2
  • Well established and widely used enterprise MLOps platform
  • Expensive, heavy enterprise suite for startups
  • Less developer-centric than some alternatives
  • Total costs depend on compute, storage, and API usage

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, “Amazon SageMaker AI vs Dataiku”, https://slateindex.ai/compare/amazon-sagemaker-ai-vs-dataiku, data of Nov 2, 2026. Licence: CC BY 4.0.