Amazon S3 is now available on the Vercel Marketplace and v0 by Vercel

October 14, 2026~2 min read

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awss3vercelserverlessfrontend

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Amazon S3 Tables now support all Apache Iceberg V3 data types

S3 Tables bring Iceberg V3 tables: positional deletion vectors replace rewrite-heavy delete files, row lineage enables efficient incremental pipelines — with a one-way, atomic, no-rewrite upgrade from V2.

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Amazon S3 is now available on the Vercel Marketplace and v0 by Vercel

You can now provision S3 general purpose buckets, S3 Tables, and S3 Vectors from the Vercel dashboard — or by describing what you want to build in v0, Vercel's AI builder. It joins existing integrations for Amazon Aurora, DynamoDB, and OpenSearch Serverless, so the whole stack lives in one AWS account with one bill.

The three storage options

S3 general purpose buckets — virtually unlimited objects (files, images, videos, documents) for data lakes, cloud-native applications, and mobile apps. Designed for 99.999999999% (11 nines) durability and 99.99% availability by default.
S3 Tables — fully managed Apache Iceberg storage for analytics, with automated table maintenance and compaction, directly queryable from any Iceberg REST catalog API-compatible engine including DuckDB.
S3 Vectors — purpose-built vector storage and query for AI applications such as RAG and semantic search, reducing the cost of uploading, storing, and querying vectors by up to 90%.

The authentication detail worth celebrating

The good part is how credentials work: a short-lived OIDC token is exchanged at runtime with AWS Security Token Service for credentials scoped to that resource — so no static keys are stored anywhere. That's the security pattern every new integration should follow: no long-lived secrets sitting in a third-party's dashboard, no IAM user with a permanent key pair.

Bottom line

For frontend-leaning teams already on Vercel, this removes a classic friction point: storage provisioning previously meant hopping consoles, creating IAM users, and pasting keys into env vars. Now storage is provisioned where you build, scoped via short-lived OIDC credentials, and billed in the same AWS account as your other resources.