Neon

Serverless Postgres: Now Generally Available

4.9•43 reviews•

428 followers

Serverless Postgres: Now Generally Available

4.9•43 reviews•

428 followers

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Databases and backend frameworks

•

Cloud Computing Platforms

Neon reimagines Postgres with a serverless architecture. With a generous free tier, scale-to-zero, and true database branching. Copy data and schema in a second and scale resources automatically. Ideal for developers prioritizing scalability and performance.

This is the 2nd launch from Neon. View more

pg_search on Neon

Get 1,000x faster full-text search in Neon Postgres

We’ve teamed up with ParadeDB to bring pg_search to all Neon users, making full-text search in Postgres faster and more powerful.

Free

Launch tags:

Open Source•Artificial Intelligence•Database

Launch Team / Built With

Bryan Clark

Neon

Maker

📌

Neon is a Postgres company. And we have always been fans of what ParadeDB built, especially the pg_search extension. So when we had the chance to work with them to offer this extension we were super excited. Not only can you easily index text for creating your own search engine but this takes AI RAG pipelines to a much higher level. When your RAG workflow goes to use any kind of text search you'll see much faster and better results thanks to the pg_search BM25 index. If you don't know much about pg_search here's a breakdown: pg_search is a high-performance full-text search extension for Postgres. It fills Postgres’ gaps in speed, ranking quality, and advanced search capabilities, bringing Elasticsearch-grade features inside Postgres. The gaps are this. Postgres has native full-text search (FTS) via tsvector and tsquery, but this is not best-in-class—for example: * Postgres’ GIN index on tsvector is not optimized for ranking, making queries slower when sorting by relevance. * The built-in ranking method (ts_rank) is not as effective as modern search algorithms like BM25, which pg_search supports. * Native FTS requires exact matches (no fuzzy search). pg_search can handle approximate matches and typos. * Faceted search (the ability to quickly count occurrences of values within search results) is either missing or inefficient in native Postgres. This is a critical feature for real-world search applications and a major reason developers stick with Elasticsearch. * Other advanced features like prefix search, highlight snippets, and JSON-aware search are also limited or inefficient in native Postgres FTS.

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5mo ago

Appwrite — The open-source Vercel alternative

The open-source Vercel alternative

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Neon Launches

pg_search on Neon Get 1,000x faster full-text search in Neon Postgres

Launched on March 19th, 2025

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Forum Threads

p/neon

fmerian

•

3mo ago

Databricks to buy open-source database startup Neon for $1B

@DataBricks just announced acquiring @Neon for $1B source: TechCrunch

How do you feel about this announcement? Would you keep using it or migrate to an alternative?

p/neon

Rajiv Ayyangar

•

6mo ago

Neon vs Supabase (vs others?) what did you pick and why?

No, we re not reevaluating our database, but since we launched Shoutouts, Supabase has been among the most shouted out products ever. If 2024 was the year of infra, @Supabase is at the forefront.
At the same time I ve been hearing more about @Neon (17 shoutouts including several top-5 apps, like @Central (YC S24) ).
I m curious: which did you choose (something else?) and why?

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Neon

Serverless Postgres: Now Generally Available

Serverless Postgres: Now Generally Available

Neon

Serverless Postgres: Now Generally Available

Serverless Postgres: Now Generally Available

Similar Products

pg_search on Neon

Neon Launches

Do you use Neon?

Forum Threads

Databricks to buy open-source database startup Neon for $1B

Neon vs Supabase (vs others?) what did you pick and why?

Neon Launches

Do you use Neon?

Forum Threads

Databricks to buy open-source database startup Neon for $1B

Neon vs Supabase (vs others?) what did you pick and why?

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