Amazon SageMaker Lakehouse
Amazon SageMaker Lakehouse: A governed AWS lakehouse connecting S3, Redshift, open table formats, and analytics engines. Ranked #11 of 23 in Data Lakehouse Platforms by our editors (8.0/10); pricing: Paid; best for AWS users unifying S3 and Redshift.
At a glance
- Editor score8.0 / 10
- PricingPaid
- Best forAWS users unifying S3 and Redshift
- Free planNo
- Storage modelBoth
- Founded2024
- Facts checked20 Sep 2026
Where it wins
- Unifies Amazon S3 data lakes and Redshift warehouses
- Supports Apache Iceberg, REST Catalog APIs, and ACID SQL analytics
- Connects AWS, business applications, and external data sources
Where it doesn't
- No free plan
- Usage-based pricing spans storage, compute, catalog, and API resources
- Its deepest fit is with AWS analytics and governance services
Our verdict on Amazon SageMaker Lakehouse
Amazon SageMaker Lakehouse brings Amazon S3 data lakes and Amazon Redshift data warehouses into a shared architecture for data and AI teams. It is designed for organizations that want governed access to existing data, new storage in Amazon S3 or Redshift Managed Storage, and analytics across multiple engines. Web and API access support work through AWS services, Apache Spark, business applications, and external data sources.
Its main strength is breadth across storage, analytics, and governance. Apache Iceberg-compatible data access and REST Catalog APIs support open table-format workflows, while ACID-compliant storage supports SQL analytics. Teams can query through Amazon Athena, Redshift Spectrum, Spark, Amazon EMR, and other engines. Federated queries reach external databases and data sources, and zero-ETL integrations support near-real-time ingestion. Fine-grained permissions, integrated access controls, and catalog federation for remote Apache Iceberg catalogs add governance across distributed environments.
The integration surface is particularly relevant for AWS-centered teams. The platform connects with Amazon S3, Amazon Redshift, AWS Glue Data Catalog, AWS Lake Formation, Athena, Spark, EMR, and Amazon DynamoDB, while also supporting Salesforce, ServiceNow, Zendesk, Google BigQuery, Snowflake, Oracle, and Microsoft Azure SQL. Pricing is paid and usage-based, with costs depending on underlying AWS storage, compute, catalog, and API resources. Choose it when S3 and Redshift need to work together under shared access controls and open data interfaces. Organizations seeking a standalone lakehouse with a free entry tier or less dependence on AWS services should consider alternatives.
Your product? Our editors can test Amazon SageMaker Lakehouse in depth and publish a review, labelled as paid · from $149/mo →
Amazon SageMaker Lakehouse pricing
Amazon SageMaker Lakehouse fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Storage model | Both |
| SQL analytics | Yes |
| ACID transactions | Yes |
| Table format support | Open |
| Streaming ingestion | Yes |
| Governance catalog | Yes |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | SSO/SAML |
| Support | Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 15 integrations: Amazon S3, Amazon Redshift, AWS Glue Data Catalog, AWS Lake Formation, Amazon Athena, Apache Spark … |
| Pricing | Paid (source) |
| Website | aws.amazon.com |
| Facts checked | 20 Sep 2026 |
Amazon SageMaker Lakehouse integrations
Amazon SageMaker Lakehouse lists 15 integrations on its own site.
- Amazon S3
- Amazon Redshift
- AWS Glue Data Catalog
- AWS Lake Formation
- Amazon Athena
- Apache Spark
- Amazon EMR
- Salesforce
- ServiceNow
- Zendesk
- Amazon DynamoDB
- Google BigQuery
- Snowflake
- Oracle
- Microsoft Azure SQL
Alternatives to Amazon SageMaker Lakehouse
- Databricks Data Intelligence PlatformA broad lakehouse platform for engineering, analytics, streaming, machine learning, and AI.9.4
- DremioA flexible lakehouse for querying diverse data estates across cloud and self-hosted environments.9.1
- Starburst Data PlatformA broad Trino-based lakehouse for federated SQL, ingestion, and governed analytics.8.9
See all Amazon SageMaker Lakehouse alternatives →
Used Amazon SageMaker Lakehouse? Be the first to review it
The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used Amazon SageMaker Lakehouse for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
Write a reviewTwo minutes · verified accounts only · read by an editor before it appears
Featured on iTechGuides
Amazon SageMaker Lakehouse is listed in our Data Lakehouse Platforms directory. Add the badge to your site — it links back to this page.
<a href="https://www.itechguides.com/products/amazon-sagemaker-lakehouse/"><img src="https://www.itechguides.com/best/badge/amazon-sagemaker-lakehouse.svg" alt="Featured on iTechGuides" width="230" height="46"></a>
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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.
Last updated · How we research and update