Amazon S3, encompassing Amazon S3 Tables and Amazon S3 Vectors, has been integrated into the Vercel Marketplace and v0 by Vercel. This allows developers using Vercel to add S3 storage resources directly from the Vercel platform.
The integration covers three workloads: everyday storage, analytics, and AI, combining S3's durability and scalability with Vercel's provisioning workflow.
Previously, provisioning S3 storage required developers to use the AWS Management Console to configure policies and credentials. With this update, S3 storage integrates directly into the Vercel developer experience, automating resource provisioning and connection configuration.
This builds on existing Vercel integrations for Amazon Aurora, Amazon DynamoDB, and Amazon OpenSearch Serverless, offering a more complete application stack within Vercel.
The integration provides several S3 storage options. S3 general purpose buckets offer storage for files, images, videos, and documents, with 99.999999999% data durability. S3 Tables provide fully managed Apache Iceberg storage optimized for analytics, directly queryable by compatible engines like DuckDB.
S3 Vectors offer purpose-built vector storage and query capabilities for AI applications such as retrieval-augmented generation (RAG) and semantic search, reducing costs for vector operations.
Developers can create an S3 bucket from the Vercel dashboard by navigating to the Storage tab, choosing Create, selecting AWS, and then picking an S3 bucket type and Region. Provisioning takes a few seconds.
After creation, the bucket can be connected to a project, and environment variables can be pulled using the Vercel CLI.
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Amazon S3, including S3 Tables and S3 Vectors, is now natively available on the Vercel Marketplace and v0 by Vercel. This integration allows developers to provision and configure S3 storage directly within the Vercel platform, simplifying the process for web and AI applications.