AWS SageMaker
Inference & Compute · Free + paid
Amazon's fully managed ML platform
At a glance
- Made by
- Amazon Web Services (AWS)
- Korean
- UI in Korean
- API
- Yes
- Available on
- Web, API, CLI
What is AWS SageMaker?
The next generation of Amazon SageMaker combines AWS machine learning (ML) and analytics capabilities, providing unified access to all your data and an environment that handles analytics and AI together. With SageMaker AI (formerly Amazon SageMaker), you build, train, and deploy ML and foundation models on fully managed infrastructure, and in Unified Studio you do data processing, SQL analytics, and generative AI development in one place. A lakehouse architecture unifies S3 data lakes and Redshift data warehouses, and SageMaker Catalog manages data and AI governance.
- SageMaker AI: build, train, and deploy ML and FMs on fully managed infrastructure (includes HyperPod, JumpStart, and MLOps)
- Unified Studio: integrated analytics and AI development environment (serverless notebooks and SQL editor)
- Lakehouse architecture (S3 and Redshift integration, Apache Iceberg compatible, zero-ETL)
- SageMaker Catalog (built on Amazon DataZone) for data and AI governance
- Natural-language model building and SQL generation with Amazon Q Developer
- Generative AI app development integrated with Amazon Bedrock
- Guardrails, toxicity detection, and responsible AI policies
Who uses AWS SageMaker and for what
- Unifying and managing data scattered across business units (Toyota case)
- Shortening lakehouse implementation and building data products (Carrier case)
- Developers use multiple AWS services in one place (Charter Communications case)
Pricing
What you get for free — Unknown (AWS as a whole mentions a free tier and free sign-up, but SageMaker-specific pricing is not on the collected page)
Checked on the official pages on 2026-10-14. Prices and features can change, so check the official site again before paying. · Official pricing page
AI tools similar to AWS SageMaker (alternatives)
AWS SageMaker vs. alternatives at a glance
| AI | Pricing | Combos on the map | Connected tools | Free | Cheapest monthly | Korean |
|---|---|---|---|---|---|---|
| AWS SageMaker | Free + paid | 0 | 17 | No | — | Yes |
| Akash Network | Free + paid | 0 | 17 | — | — | No |
| AWS Bedrock | Free + paid | 0 | 17 | No | — | Yes |
| Azure ML | Free + paid | 0 | 17 | No | — | Yes |
| BentoML | Free + paid | 0 | 17 | — | — | No |
0 of these 5 tools have a free plan.
Combo and connection counts are based on the relationships recorded on AI Galaxy Map (2026-10-26); they are not a quality ranking.
AWS SageMaker on AI Galaxy Map
- One of 43 AI tools in the Inference & Compute field.
- Connected to 17 other tools — #1 in its field.
Frequently asked questions
Can I use AWS SageMaker for free?
Unknown (AWS as a whole mentions a free tier and free sign-up, but SageMaker-specific pricing is not on the collected page). Prices can change, so check the official site before paying.
What AI can I use instead of AWS SageMaker?
Tools that do the same job, such as Akash Network, AWS Bedrock, Azure ML, BentoML, are connected to it on the map.
Can I use AWS SageMaker in Korean?
UI in Korean
Sources (official pages)
- https://aws.amazon.com/ko/sagemaker/
- https://aws.amazon.com/ko/pricing/?nc2=h_pr_hub/
- https://docs.aws.amazon.com/?nc2=h_rsc_lrn_docs/
Checked on the official pages on 2026-10-14. Prices and features can change, so check the official site again before paying.