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Head-to-head · Data Science and Machine Learning Platforms

Amazon SageMaker AI vs Databricks Data Intelligence Platform

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Databricks Data Intelligence Platform #4 in Data Science and Machine Learning Platforms 9.0/10 Free plan · 14-day trial Free planFree trial✓ 0 of 5 features Visit Databricks

Amazon SageMaker AI leads on 0 checks, Databricks Data Intelligence Platform on 1, and 1 is even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAmazon SageMaker AI · 9.4/10
  • Free planonly Databricks Data Intelligence Platform
  • Free trialonly Databricks Data Intelligence Platform
  • Most featuresAmazon SageMaker AI · 1 of 5

Amazon SageMaker AI scores higher on our rubric for data science and machine learning platforms: 9.4 against 9.0 out of 10; our editors rank them #1 and #4.

Databricks Data Intelligence Platform offers free plan; Amazon SageMaker AI doesn't.

Amazon SageMaker AI is the better fit for teams running end-to-end ML workloads on AWS. Databricks Data Intelligence Platform is the better fit for mid-market and enterprise lakehouse teams.

  • Amazon SageMaker AI fits best

    Teams running end-to-end ML workloads on AWS

  • Databricks Data Intelligence Platform fits best

    Mid-market and enterprise lakehouse teams

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Amazon SageMaker AI 9.4/10 Visit ↗ Databricks Data Intelligence Platform 9.0/10 Visit ↗
At a glance
Editor score 9.4 9.0
Ranking #1 in Data Science and Machine Learning Platforms #4 in Data Science and Machine Learning Platforms
Best for Teams running end-to-end ML workloads on AWS Mid-market and enterprise lakehouse teams
Pricing model Paid Free plan + paid
Starting price Not checked yet Free plan · 14-day trial
Free plan — ✓ (best)
Free trial — 14 days
Deployment Cloud Cloud
Platforms Web Web
Support Docs Docs, Community
Compliance SOC 2, ISO 27001 GDPR, HIPAA, PCI DSS, SSO/SAML, 2FA
Integrations 6 integrations 8 integrations
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Amazon SageMaker AI 1/5 · Databricks Data Intelligence Platform 0/5
Notebook environment Not checked yet Not checked yet
AutoML Not checked yet Not checked yet
Model deployment Not checked yet Not checked yet
GPU compute Not checked yet Not checked yet
Pipeline orchestration ✓ (best) Not checked yet
Specs
Deployment model Not checked yet Not checked yet
Our review
Pros
  • Covers tracking, model registry, pipelines, feature storage, and inference
  • Managed infrastructure supports training and distributed workloads
  • Integrates with S3, IAM, KMS, VPC, PrivateLink, and MLflow
  • Combines Delta Lake storage with Apache Spark processing.
  • Supports batch, streaming, ETL, SQL analytics, and ML workflows.
  • Unity Catalog brings data and AI governance into the platform.
Cons
  • Usage-based costs span compute, storage, and data processing
  • AWS Free Tier applies only during the first two months
  • Some legacy features are unavailable to new customers or have ended support
  • Cloud-only deployment limits teams seeking other deployment models.
  • Usage-based pricing varies by cloud, region, product, and contract.
  • Its breadth may exceed the needs of teams seeking a focused tool.
Our verdict

Amazon SageMaker AI is a managed machine-learning service for data scientists, developers, and ML engineers building, training, and deploying models on AWS. Its web-based Studio environment sits alongside APIs, SDKs, and CLI tools, so…

Read the review →

Databricks Data Intelligence Platform brings data engineering, SQL analytics, machine learning, AI applications, and governance into a cloud environment. It is aimed at mid-market and enterprise teams that want to work across lakehouse…

Read the review →
  1. Amazon SageMaker AIData Science and Machine Learning Platforms 9.4Paid
  2. Databricks Data Intelligence PlatformData Science and Machine Learning Platforms 9.0Free plan · 14-day trial

Strengths and trade-offs

  • Amazon SageMaker AI — where it wins

    • Covers tracking, model registry, pipelines, feature storage, and inference
    • Managed infrastructure supports training and distributed workloads
    • Integrates with S3, IAM, KMS, VPC, PrivateLink, and MLflow

    Where it doesn't

    • Usage-based costs span compute, storage, and data processing
    • AWS Free Tier applies only during the first two months
    • Some legacy features are unavailable to new customers or have ended support
  • Databricks Data Intelligence Platform — where it wins

    • Combines Delta Lake storage with Apache Spark processing.
    • Supports batch, streaming, ETL, SQL analytics, and ML workflows.
    • Unity Catalog brings data and AI governance into the platform.

    Where it doesn't

    • Cloud-only deployment limits teams seeking other deployment models.
    • Usage-based pricing varies by cloud, region, product, and contract.
    • Its breadth may exceed the needs of teams seeking a focused tool.
  • Amazon SageMaker AI9.4/10 · Paid

    A broad AWS-based ML lifecycle service with usage-based pricing and no ongoing free plan.

    Visit AWSFull verdict →
  • Databricks Data Intelligence Platform9.0/10 · Free plan · 14-day trial

    A broad lakehouse stack for teams building data and machine-learning workloads in the cloud.

    Visit DatabricksFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update