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Dev tools · alternatives · 2026

24 alternatives to OptiSchema Slim

Local-first AI PostgreSQL tuning with ‘what-if’ indexes

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.

  1. 1

    Generate SQL with AI for business and data teams

    2023 · its alternatives →

  2. 2

    Idea to Postgres database

    2024 · supabase.com · its alternatives →

  3. 3
    ShapedQL▲211

    The SQL engine for search, feeds, and AI agents

    Jan 2026 · its alternatives →

  4. 4

    SnapQL is an open-source desktop app (built with Electron) that lets you query your Postgres database using natural language. It’s schema-aware, so you don’t need to copy-paste your schema or write complex SQL by hand. Everything runs locally — your OpenAI API key, your data, and your queries — so it's secure and private. Just connect your DB, describe what you want, and SnapQL writes and runs the SQL for you.

    2025 · github.com · its alternatives →

  5. 5

    This is a Postgres extension that can determine if a query should have an index. For example, for this table: create table book( id int primary key, title text not null ); You can run `index_advisor()` to see if there should be an index on a select statement: select * from index_advisor('select book.id from book where title = $1'); And it will return (summarized): {"CREATE INDEX ON public.book USING btree (title)"} It works particularly well with pg_stat_statements[0] which tracks execution statistics of all SQL statements executed on your Postgres database. It leans heavily on HypoPG[1], an…

    2024 · github.com · its alternatives →

  6. 6

    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 →

  7. 7

    AI-driven query analysis

    2024 · prisma.io · its alternatives →

  8. 8

    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 →

  9. 9

    A flamegraph generator for Postgres EXPLAIN ANALYZE output. - mgartner/pg_flame

    2019 · github.com · its alternatives →

  10. 10

    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 →

  11. 11
    SQLPilot▲149

    AI First SQL Editor

    2024 · its alternatives →

  12. 12
    Opttab▲171

    Manage your presence in AI search

    Jan 2026 · opttab.com · its alternatives →

  13. 13

    The future of serverless databases

    2025 · prisma.io · its alternatives →

  14. 14
    SereneDBfree▲262

    Ultra-Fast Search & Analytics Database, Agentic AI ready

    Sep 2026 · serenedb.com · its alternatives →

  15. 15

    Hey HN, Postgres Pro is an open source Model Context Protocol (MCP) server built to support every stage of the development process. It does a lot more than help generate and run SQL—it helps you make sure your application and database actually run well. Features: - Industrial-strength tuning algorithms similar to those in MS SQL Server - “What if?” tool to evaluate LLM-generated index suggestions - Works with Cursor, etc., to make changes in ORM code - Ensures safe SQL execution with restricted mode - Includes health checks to stay ahead of production problems

    2025 · github.com · its alternatives →

  16. 16

    Instant Realtime GraphQL on Postgres

    2018 · hasura.io · its alternatives →

  17. 17

    Hi HN. This is a project I've been building for the last month. It's a macOS postgres client that uses your OpenAI key to generate and immediately execute queries against your database locally on your machine. I imagine the user being someone familiar with SQL and able to identify errors in the generated code, but regularly needs to write queries to answer relatively simple questions. This is my first software project I'm intending on selling myself and would love feedback on the product and landing page. I'd also love ideas on how to market it to users, as I'm very new to this. In the near…

    2023 · pgmagic.app · its alternatives →

  18. 18AU

    pgMustard is a Postgres EXPLAIN visualisation tool that also gives performance advice, scored based on its potential to speed up your query.

    2019 · pgmustard.com · its alternatives →

  19. 19

    A fast, native PostgreSQL client for macOS, with an AI assistant that uses the Claude Code, Codex or Cursor account already on your Mac.

    17d ago · frizky.dev · its alternatives →

  20. 20

    open-source agentic AI data assistant for the next generation of AI + Data products. - eosphoros-ai/DB-GPT

    2023 · github.com · its alternatives →

  21. 21

    You know Postgres, now you know machine learning

    2023 · postgresml.org · its alternatives →

  22. 22

    Hey HN! We’re Emma and Chris, founders of Velvet (https://www.usevelvet.com). Velvet proxies OpenAI calls and stores the requests and responses in your PostgreSQL database. That way, you can analyze logs with SQL (instead of a clunky UI). You can also set headers to add caching and metadata (for analysis). Backstory: We started by building some more general AI data tools (like a text-to-SQL editor). We were frustrated by the lack of basic LLM infrastructure, so ended up pivoting to focus on the tooling we wanted. So many existing apps, like Helicone, were hard to use as power…

    2024 · usevelvet.com · its alternatives →

  23. 23
    soarSQL▲98

    The analytical SQL editor - powered by duckDB

    2025 · its alternatives →

  24. 24

    A look at modern database approaches and how Citus scales PG

    2016 · softwareengineeringdaily.com · its alternatives →

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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 →