Learn how Neon's autoscaling works - it estimates Postgres' working set size and keeps it in memory. Engineering post here
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Neon is coming to Azure 

M12, Microsoft’s Venture Fund, is now an investor in Neon

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It’s official: Neon is coming to Azure. This expansion is backed by a $25M strategic investment led by M12, Microsoft’s Venture Fund. If you want to be the first to be notified when Neon is available in Azure, join the waitlist.

Multi-cloud has always been a part of our vision at Neon. We want to help developers ship faster with Postgres on Neon, regardless of which cloud provider they use. With Neon already available on AWS, we’re now gearing up to launch on Azure.

“Postgres is quickly becoming the database of choice for developers and we are investing heavily in that ecosystem. Neon is a leading Postgres platform and this strategic investment emphasizes our commitment to deeply integrate Neon into Azure.”

Andrew Smyth, Managing Partner at M12

Microsoft is mapping the future of dev tools, Postgres is on the map 

Microsoft and Azure are investing in tools that form the cornerstone of modern development and will shape how software is built in the next decade—GitHub, VS Code, TypeScript, OpenAI, Copilot. 

This leads to Postgres and Neon. Modern developers want to use Postgres, and Neon is building the best Postgres platform for developers. Our focus on delivering a better developer experience makes Neon perfectly aligned with Microsoft’s strategy. By separating compute and storage to make Postgres truly serverless, we’re bringing it into the modern developer workflow, removing operational overhead, and accelerating the development velocity of engineering teams.

The next generation of AI apps will run on Neon 

As we look to the future, a critical component of the AI stack is the vector database. Via pgvector, Neon becomes a vector store built in Postgres with unique serverless capabilities, being able to seamlessly scale up for expensive index builds, and then scale back down for your normal traffic or RAG queries. 

This combination of performance and cost-efficiency makes Neon an ideal choice for AI startups.The database only runs when needed, but is always available – and with the precise capacity required by the workload. And for AI apps concerned about data privacy, Neon enables them to easily adopt database-per-customer architectures, ensuring data isolation for their customers.

Join the waitlist 

If you want to be among the first to experience Neon on Azure, join the waitlist

We’re also hiring—take a look at our open engineering positions and help us shape the future of AI and Postgres.