AWS Partner Network (APN) Blog
Category: Amazon SageMaker Lakehouse
Pioneering startups unleash enterprise value with Amazon SageMaker Incubator
The Amazon SageMaker Startup Incubator is transforming how startups deliver solutions to enterprise customers. Through comprehensive technical enablement and accelerated go-to-market support, the program helps startups overcome common challenges in infrastructure management and enterprise integration. Five successful lighthouse partners – Tonic AI, Activeloop, Weaviate, Snowplow, and SuperAnnotate – showcase the program’s impressive impact. These partnerships demonstrate how startups can efficiently build enterprise-grade solutions. Backed by AWS’s robust infrastructure and technical expertise, the program offers a proven path for startups to scale their data and AI solutions.
Build real-time data lakes with Snowflake and Amazon S3 Tables
Learn how to build scalable, real-time data lakes by combining Amazon S3 Tables with Snowflake integration. This solution enables efficient streaming data ingestion and analysis while automatically managing table optimization and maintenance. Discover how manufacturing companies can leverage this architecture to transform IoT sensor data into actionable insights, combining operational analytics with predictive maintenance capabilities. The integration between S3 Tables and Snowflake, along with SageMaker Lakehouse’s Iceberg REST endpoint, creates a robust foundation for streaming analytics that can handle high-volume data streams while maintaining performance and security.

