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Dev tools · alternatives · 2026

24 alternatives to Soda SQL

Data testing and monitoring for SQL-accessible data.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Soda SQL launched in 2021; newer entries below may have overtaken it.

  1. 1VS

    2020 · chartio.com · its alternatives →

  2. 2AS
  3. 3DS

    2021 · django-sql-dashboard.datasette.io · its alternatives →

  4. 4SE

    I have been working on SQL Explorer, an open source, Django-based reporting and query tool for (gulp!) almost ten years. It's a tool that fits just right for me and many others, and I love and use almost every day. Write SQL, share results, do some analysis, get insight. No surprises. A live demo instance is here (no login or anything required): https://demo.sqlexplorer.io/ And here's a fairly unprofessional, but very enthusiastic, video tour: https://sql-explorer.s3.amazonaws.com/Sql+Explorer+5.mp4 The UI is constrained enough that there's very little to learn,…

    2024 · github.com · its alternatives →

  5. 5

    Learn SQL - the preferred tool of data analysts everywhere …

    2015 · its alternatives →

  6. 6

    sql-tap is a transparent proxy that captures SQL queries by parsing the PostgreSQL/MySQL wire protocol and displays them in a terminal UI. You can run EXPLAIN on any captured query. No application code changes needed — just change the port.

    Feb 2026 · github.com · its alternatives →

  7. 7AW

    Hey HN, Arroyo is a modern, open-source stream processing engine, that lets anyone write complex queries on event streams just by writing SQL—windowing, aggregating, and joining events with sub-second latency. Today data processing typically happens in batch data warehouses like BigQuery and Snowflake despite the fact that most of the data is coming in as streams. Data teams have to build complex orchestration systems to handle late-arriving data and job failures while trying to minimize latency. Stream processing offers an alternative approach, where the query is compiled into a streaming…

    2023 · github.com · its alternatives →

  8. 8
    ShapedQL▲211

    The SQL engine for search, feeds, and AI agents

    Jan 2026 · its alternatives →

  9. 9
    ipsumdb▲68

    A generator of structured data in large quantity

    2023 · its alternatives →

  10. 10NA

    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 · its alternatives →

  11. 11
    Evidence▲113

    Beautiful reports with just SQL and markdown

    2021 · its alternatives →

  12. 12HA

    Hi all, we recently open sourced the first version of Hashquery, a Python library which lets you model analytics, DRY up common logic, and execute it against a database or warehouse. We were originally rendering SQL directly for all our queries, but that spiraled out of control with more complex analysis; the SQL needed to be changed sporadically for each new database dialect (BigQuery, Redshift, Aethena, Postgres, etc etc) and the SQL fragments were very challenging to reuse (and so fragments were copy-pasted all over). ~~~ Advantages we think it has over writing SQL by hand: - Queries are…

    2024 · hashquery.dev · its alternatives →

  13. 13

    Collaborative data analytics tool across desktop & web

    2016 · its alternatives →

  14. 14MU
  15. 15SD

    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 →

  16. 16DA
  17. 17WU
  18. 18

    Check if your SQL is readable or not

    2022 · its alternatives →

  19. 19

    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 · its alternatives →

  20. 20

    Two weeks ago I was on my babymoon in Corfu, Greece. While in transit, I was overseeing a GSoC intern submit an important feature to my array database library, Xarray-SQL. He added `to_dataset()`, which completed the roundtrip between thinking of array data in a tabular model simultaneously as gridded rasters (the premise of the project is that every Nd array can be mapped to 2d, where orthogonal dims of the Nd array are just primary keys of a tabular representation). We discussed in chat, now that this feature existed, what demos could we make that would prove this data model works? With…

    Jul 2026 · github.com · its alternatives →

  21. 21AE
  22. 22SS

    SPyQL (https://github.com/dcmoura/spyql) is SQL with Python in the middle, an open-source project fully written in Python for making command-line data processing more intuitive, readable and powerful. Try mixing in the same pot: a SQL SELECT for providing the structure, Python expressions for defining transformations and conditions, the essence of awk as a data-processing language, and the JSON handling capabilities of jq. How does a SPyQL query looks like? $ spyql “ IMPORT pendulum AS p SELECT (p.now() - p.from_timestamp(purchase_ts)).in_days() AS days_ago, sum_agg(price…

    2022 · github.com · its alternatives →

  23. 23
    soarSQL▲98

    The analytical SQL editor - powered by duckDB

    2025 · its alternatives →

  24. 24
    Trace▲85

    A lightweight GraphQL query performance monitoring dev tool

    2021 · 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 →