Alternatives
Products that do what Provero does
Your AI is only as good as your data. Prove it.
- 1H1
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
- 2SA
Hi HN, We're Luke and Phillip, and we're building Spice.ai OSS - a lightweight, portable runtime, built in Rust and powered by Apache DataFusion to locally materialize, accelerate, and query data tables sourced from any database, data warehouse or data lake. Phillip and I first introduced Spice on Show HN in September 2021. Since then, we’ve been schooled and humbled in every way building 100TB+ data and ML systems for the https://spice.ai cloud platform. Along with our customers, we struggled with getting fast, low-latency, high-concurrency SQL query within a budget, accessing and…
2024 · github.com
- 3
- 4SA
2022 · shalerb.org
- 5
- 6OO
Hi! One of the creators here. Very proud to finally be able to show you what we've been working on for over a year now. Curious to hear your thoughts! Objectiv is open-source (APLv2) product analytics infrastructure. It's built around a generic but strict event taxonomy, open/common data- and infra tools (currently PG, snowplow, working on bigquery with more to come), and the analyses are done using our pandas-like, SQL speaking modeling library called Bach. As a result, we’re moving towards a vision wherein models can be shared openly, independent of product, platform[1] or data…
2022 · objectiv.io
- 7DL
2014 · databaselabs.io
- 8
- 9DT
I built DDL to Data after repeatedly pushing back on "just use production data and mask it" requests. Teams needed populated databases for testing, but pulling prod meant security reviews, PII scrubbing, and DevOps tickets. Hand-written seed scripts were the alternative slow, fragile, and out of sync the moment schemas changed. Paste your CREATE TABLE statements, get realistic test data back. It parses your schema, preserves foreign key relationships, and generates data that looks real, emails look like emails, timestamps are reasonable, uniqueness constraints are honored. No setup, no…
Jan 2026
- 10RR
Hi HN, I'm Hugo. I've been building Rocky over the past month, shipping fast in the open. The binary is on GitHub Releases, `dagster-rocky` on PyPI, and the VS Code extension on the Marketplace. I held off on a broader announcement until the trust-system surface was coherent enough to talk about as one thing. The governance waveplan — column classification, per-env masking, 8-field audit trail on every run, `rocky compliance` rollup, role-graph reconciliation, retention policies — landed end-to-end last week in engine-v1.16.0 and rounded out in v1.17.4 (tagged 2026-04-26). That's the…
Apr 2026 · github.com
- 11NA
Hey HN - our team wants to open source a project called NASTY (NASTY Abstract Syntax Tree thingY) that we built for ourselves. NASTY was built to maintain testable/composable data pipelines. Our team was ripping our hair out trying to maintain dbt/SQL scripts across different data warehouses (Redshift, BigQuery, Postgres, Snowflake) on top of ever shifting data foundations maintained by our customer's internal data teams. NASTY is the result of our learnings from field experience. We wanted to write abstractions so that we could reuse code. We wanted to bundle those abstractions…
2024 · getnasty.dev
- 12
- 13ST
Hi HN — we've built a testing framework for Supabase that spins up fast, isolated Postgres databases for each test case. It’s designed to make RLS policies easy to validate with real database state, without global test fixtures or mock auth. Features: - Instant isolated Postgres DBs per test - Automatic rollback after each test - RLS-native testing with `.setContext()` for auth simulation - Flexible seeding (SQL, CSV, JSON, JS) - Works with Jest, Mocha, and any async test runner - CI-friendly (runs cleanly in GitHub Actions) We also published example projects and a free set of tutorials:…
Nov 2025 · npmjs.com
- 14
Agent that writes SQL for you to validate database insights
Apr 2026 · decisionbox.io
- 15PY
Originally inspired by pg_regress, pg_yregress provides a TAP-compatible test executor that allows for better test organization, easier instance management, native JSON handling and so on.
2023 · github.com
- 16SA
2025 · spiceai.org
- 17PA
2021 · github.com
- 18SD
Jul 2026 · github.com
- 19
Proves your PostgreSQL and MySQL backups actually restore, before you find out the hard way. - ahmadpiran/restoredrill
10d ago · github.com
- 20SD
Hi HN, I'm Dean, the non-technical co-founder of SchemafreeSQL. We released our beta version about a year ago. You can see the HN Post here https://news.ycombinator.com/item?id=30291592 Today I am pleased to announce our initial release of our hosted SFSQL offering. A major concern from the HN Beta feedback we received was our longevity. Being a hosted database solution I can see why. We took that to heart and re-engineered our offering. We de-risked it by minimizing the amount of infrastructure under our management, fly.io manages customer's dedicated SFSQL endpoints,…
2023 · schemafreesql.com
- 21VA
2016 · github.com
- 22IB
Hey HN, I just spent the last few weeks building a database for agents. Over the last year I built PostHog AI, the company's business analyst agent, where we experimented on giving raw SQL access to PostHog databases vs. exposing tools/MCPs. Needless to say, SQL wins. I left PostHog 3 weeks ago to work on side-projects. I wanted to experiment more with SQL+agents. I built an MVP exposing business data through DuckDB + annotated schemas, and ran a benchmark with 11 LLMs (from Kimi 2.5 to Claude Opus 4.6) answering business questions with either 1) per-source MCP access (e.g. one Stripe…
Apr 2026 · github.com
- 23ML
2017 · migra.readthedocs.io
- 24
AI-powered SQL query diagnostics across PostgreSQL, MySQL, Oracle, SQL Server and SQLite. Paste your query, get instant performance analysis and an optimized rewrite.
Jul 2026 · querytuner.com
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