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Amazon SageMaker AIFully managed machine learning service
vs
ClearMLThe Infrastructure Platform For AI Builders
Comparison · MLOps Platforms · weekly run Nov 2

Amazon SageMaker AI vs ClearML

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 20.6 for ClearML, and ranks ahead in 64% of the answers that name both.

Choose Amazon SageMaker AI if…

  • You want the brand AI engines rank higher (44.4 vs 20.6)
  • You need SOC 2 or HIPAA 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 ClearML if…

  • AI answers describe it more positively (43% vs 29% positive)
  • You need a self-hosted or on-premises option
  • open-source flexibility
  • transparent, clear pricing with a free self-hosted tier

AI visibility side by side

Latest weekly run · Nov 2

Metric Amazon SageMaker AI ClearML
Visibility score44.4%20.6%
Change vs last weekNewNew
Rank in MLOps Platforms#3#8
Share of voice8%4.5%
Mentions this run5430
Positive in AI answers29%43%

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 · ClearML 0pp over 0 weekly runs.

Engine by engine

Amazon SageMaker AI leads on 3 of 3 engines

ChatGPT
48.5%
22.2%
AI Mode
43.9%
14.3%
Perplexity
40.9%
25.2%
Amazon SageMaker AIClearML

Head to head in AI answers

22 engine answers name both brands

14Amazon SageMaker AI ranked higher
8ClearML ranked higher

Features, pricing & fit

DimensionAmazon SageMaker AIClearML
Pricing model—Per seat
Entry price—Free; paid from $15 per seat / mo
Free plan—Yes
DeploymentCloud and edge environments, with real-time and batch inferenceHosted servers, self-hosted, or a managed service in a VPC, on-premises (including air-gapped) or hybrid.
ComplianceSOC 2, HIPAA, FedRAMP Moderate, FedRAMP High, ISO 27001, PCI-DSS—
Support—Dedicated Slack channel (Scale), Standard SLA (Scale), White-glove support with custom SLA (Enterprise), Professional services (Enterprise)
Founded20172016
HeadquartersSeattle, WashingtonTel Aviv, Israel
Employees5,000+11–50
Funding—Series B (reported for parent Allegro AI, unverified, led by New Enterprise Associates) · $16M raised
Best for—Individuals, researchers and small teams on the free plan, growing AI teams on Pro, and enterprises running GPU clusters for multiple large projects.

Plans side by side

Amazon SageMaker AI

Pricing not available.

ClearML

Community$0month
Pro$15user/month + usage
ScaleCustomcustom quote
EnterpriseCustomcustom quote
ClearML pricing

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

ClearML

  • open-source flexibility
  • transparent, clear pricing with a free self-hosted tier
  • end-to-end MLOps coverage in one platform
  • GPU orchestration and pipeline automation
  • affordable choice for cost-conscious teams

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

    Cite as: SlateIndex, “Amazon SageMaker AI vs ClearML”, https://slateindex.ai/compare/amazon-sagemaker-ai-vs-clearml, data of Nov 2, 2026. Licence: CC BY 4.0.