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
#38 of 122
GTM Developer Tools
▼ 19 60-day move
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.
Pinecone
Qdrant
Convex
Chroma
LanceDBVercel, Replit, Retool, Strapi, Hasura, DEV, Bitso, Mindvalley, Vapi, Koyeb
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Business Profile
Neon started in 2021 as a serverless rebuild of Postgres, moving from technical preview in 2022 to general availability in 2024 as it built out branching, autoscaling and separated storage and compute. A Series B round in 2023 helped bring total funding to $130.6 million, with the company reporting roughly $25 million in ARR and a $1 billion valuation in 2025. In May 2025, Databricks acquired Neon, and its technology now powers Lakebase, a serverless Postgres product built for lakehouse and AI workloads inside the Databricks Platform. Neon continues operating under that ownership, with 168 employees and a growing share of its databases provisioned automatically by agents rather than by hand.
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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