For developers building on Postgres, Neon is a serverless database platform that supports instant branching, spinning up a full copy of your database for development, testing, or preview environments without managing infrastructure.
Presence & Market Position
#61 of 103
GTM Developer Tools
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Neon presents itself as database infrastructure for both human developers and AI agents: "the backend for apps and agents, built to scale on Lakebase Postgres," per its own homepage, a framing that sharpened after joining the Databricks platform in 2025. The customer roster — Vercel, Replit, Retool, Strapi, Hasura, Vapi, Koyeb — points to teams building AI-native applications and developer tools that lean on Neon's branching model for spinning up disposable database copies per pull request. Within GTM Developer Tools, Neon holds a steady footprint, with its Postgres-branching mechanism functioning as the recognizable hook of the product story.
Convex
Qdrant
LanceDB
Pinecone
WeaviateVercel, Replit, Retool, Strapi, Hasura, DEV, Bitso, Mindvalley, Vapi, Koyeb
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Business Profile
Neon was founded in 2021 by a team of Postgres committers to build a serverless, branchable version of the database for modern development workflows. It reached $25M in ARR by May 2025, backed by roughly $50M in funding, with a customer base of developer-tooling and AI-native application companies including Vercel, Replit, and Retool. Databricks acquired Neon in 2025 for close to $1B, gaining a Postgres-native backend for its data and AI platform and extending its reach into Neon's developer ecosystem. The arrangement keeps Neon's roughly 168-person team building the product under its own brand, while the same technology now also underpins Databricks' newer Lakebase database offering.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Neon has built out beyond core Postgres branching toward a fuller agent backend: an AI Gateway for multi-model API access, Functions for long-running compute, object storage, and managed authentication, alongside published API docs, an MCP surface, SDK, and CLI. The company has cited the large majority of its databases as agent-created rather than human-created, and its homepage now leads with "the backend for apps and agents" as the framing for where the product is headed.
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