Supabase and AWS Empower App Developers to Build in a Weekend, Scale to Millions
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Supabase and AWS empower app developers to build in a weekend, scale to millions. At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), and Supabase, the Postgres development platform, today announced two new Amazon Simple Storage Service (Amazon S3)-based storage innovations and a new ETL[1] feature that make building generative artificial intelligence (AI) agents and apps easier. Built on Apache Iceberg and Amazon S3 Tables, Supabase Analytics Buckets support analytics workloads, while Supabase Vector Buckets provide specialized storage that powers AI features like semantic search and personalization. Supabase ETL automatically moves data from Postgres databases to analytics tools with a single click, eliminating months of coding work. Built on AWS, Supabase has launched more than 10 million databases to date and has become the foundation of choice for startups, with over 60% of each Y Combinator batch building on the platform. These tools help developers build apps that consumers love and businesses need. Customers can scale apps seamlessly from prototype to production systems, serving millions of users without expensive rebuilds that slow down growing companies. Supabase handles all the behind-the-scenes work that AI code generation tools need to create fully functional apps, with PostgreSQL, one of the world's most widely used...
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