AI · alternatives · 2026
24 alternatives to pg_search on Neon
Get 1,000x faster full-text search in Neon Postgres
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Last summer we faced a conundrum at my company, Tiger Data, a Postgres cloud vendor whose main business is in timeseries data. We were trying to grow our business towards emerging AI-centric workloads and wanted to provide a state-of-the-art hybrid search stack in Postgres. We'd already built pgvectorscale in house with the goal of scaling semantic search beyond pgvector's main memory limitations. We just needed a scalable ranked keyword search solution too. The problem: core Postgres doesn't provide this; the leading Postgres BM25 extension, ParadeDB, is guarded behind AGPL; developing our…
Mar 2026 · github.com · its alternatives →
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Postgres.js - The Fastest full featured PostgreSQL client for Node.js, Deno, Bun and CloudFlare - porsager/postgres
2022 · github.com · its alternatives →
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Hey, Sam and the team from ElectricSQL here. PGlite is a WASM Postgres build packaged into a TypeScript/JavaScript client library, that enables you to run Postgres in the browser, Node.js and Bun, with no need to install any other dependencies. It's 3mb Gzipped, now has support for many Postgres extensions, including pgvector, and it has a reactive "live query" API. It's also fast, with CRUD style queries executing in under 0.3 ms, and larger, multi-row select queries occurring within a fraction of a single frame. PGlite started as an experimental project we shared on X, and the…
2024 · pglite.dev · its alternatives →
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A flamegraph generator for Postgres EXPLAIN ANALYZE output. - mgartner/pg_flame
2019 · github.com · its alternatives →
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postgres.new▲774The in-browser Postgres sandbox with AI assistance
2024 · database.build · its alternatives →
- 7PT
I built pg_textsearch, a Postgres extension that brings proper BM25 ranking to full-text search. It's designed for AI/RAG workloads where search quality directly impacts LLM output. Postgres native ts_rank lacks corpus-aware signals (no IDF, no TF saturation, no length normalization). This causes mediocre documents to rank above excellent matches, which matters when your LLM depends on retrieval quality. Quick example: CREATE EXTENSION pg_textsearch; CREATE INDEX articles_idx ON articles USING bm25(content); SELECT title, content to_bm25query('database performance', 'articles_idx') AS…
Oct 2025 · docs.tigerdata.com · its alternatives →
- 8LA
We are excited to share Lantern! Lantern is a PostgreSQL vector database extension for building AI applications. Install and use our extension here: https://github.com/lanterndata/lantern We have the most complete feature set of all the PostgreSQL vector database extensions. Our database is built on top of usearch — a state of the art implementation of HNSW, the most scalable and performant algorithm for handling vector search. There’s three key metrics we track. CREATE INDEX time, SELECT throughput, and SELECT latency. We match or outperform pgvector and pg_embedding…
2023 · docs.lantern.dev · its alternatives →
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hi hn, hydra ceo here hydra is an open source, column-oriented postgres. you can set up remarkably fast aggregates on your project in minutes to query billions of rows instantly. postgres is great, but aggregates can take minutes to hours to return results on large data sets. long-running analytical queries hog database resources and degrade performance. use hydra to run much faster analytics on postgres without making code changes. data is automatically loaded into columnar format and compressed. connect to hydra with your preferred postgres client (psql, dbeaver, etc). following 4 months…
2023 · hydra-so.notion.site · its alternatives →
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Hey all, I'm the creator of @pg-nano/pg-parser. I'm using it in pg-nano[1] to statically analyze Postgres schemas spread across multiple SQL files for a couple of reasons: 1. Each CREATE statement needs to be in topological order, so pg-nano's dev command can execute them without issue. 2. pg-nano has a plugin system like Vite that allows SQL generation based on the parsed schema. Probably to the surprise of no one, working with an untyped AST feels like you're back in the days of JavaScript, because well... you are. Most of you know by now just how great TypeScript and static types in…
2024 · github.com · its alternatives →
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Blazing fast, instant realtime GraphQL APIs on all your data with fine grained access control, also trigger webhooks on database events. - hasura/graphql-engine
2018 · github.com · its alternatives →
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Instant GraphQL backend with Hasura & Neon in under 2 mins
2022 · hasura.io · its alternatives →
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In-memory Postgres for unit/E2E tests. Contribute to hexclave/pgmock development by creating an account on GitHub.
2024 · github.com · its alternatives →
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Full Text Search Engine - built for Hackers not Hyperscalers - 0xnyn/blaze
2025 · github.com · its alternatives →
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SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust. - SeekStorm/SeekStorm
2024 · github.com · its alternatives →
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Hi HN! We're Evgeny and Arjun, and we’re building a better way to do analytics with Postgres. We love Postgres for its simplicity, power, and rich ecosystem. But engineers have to still get bogged down with heavyweight and expensive OLAP systems when connecting an analytics data stack. Postgres is amazing at OLTP queries, but not for OLAP queries (large data scans and aggregations). Even in this case, we’ve still heard from countless scaling startups that they still try to use only a read replica to run analytics workloads since they don’t want to deal with the data engineering complexity of…
2024 · github.com · its alternatives →
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I created this small guide for people starting with postgresql. I added some queries I commonly used as well. Any feedback?
2023 · github.com · its alternatives →
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Hey folks - one thing I find a bit frustrating using non-supabase Postgres providers is the lack of ability to perform DB queries via an SDK/API. I decided to build a quick sample of how to combine PostgREST + Neon to recreate this dev experience.
2024 · github.com · its alternatives →
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Hands-on tutorials to learn Postgres
2022 · crunchydata.com · its alternatives →
- 24
Hey HN! We're Phil and Ming, co-founders of Retake (https://github.com/getretake/retake). Retake is an open source tool that adds keyword and semantic (i.e hybrid) search to databases. We’ve started by extending the capabilities of Postgres with an SDK for lightning-fast queries. We built Retake to fix two issues: keeping vectors in sync with Postgres in real time is difficult, and most vector databases aren’t built for hybrid search. A quick refresher: “keyword search” refers to a technique where results are scored based on the appearance of exact words or terms.…
2023 · github.com · its alternatives →
Also compare
- Postgres extension for BM25 relevance-ranked full-text search alternatives
- Neon alternatives
- Postgres.js – Fastest Full-Featured PostgreSQL Client for Node and Deno alternatives
- PGlite – in-browser WASM Postgres with pgvector and live sync alternatives
- pg_flame – flamegraph visualizations of PostgreSQL query plans alternatives
- postgres.new alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →