Growth · alternatives · 2026

24 alternatives to BQMetrics

Drag and Drop for BigQuery - No SQL needed

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

1. 1
   Whatagraph Data Transfer▲170

   Move marketing data to BigQuery warehouse, no code required

   2023 · whatagraph.com · its alternatives →

2. 2OS
   Open-Source Business Intelligence for BigQuery – Looker Alternative▲95

   2019 · mprove.io · its alternatives →

3. 3
   GA4 SQL▲80

   Generate GA4 BigQuery queries without SQL knowledge

   2023 · ga4sql.com · its alternatives →

4. 4
   QuickQuery - NoSQL database manager▲145

   Seamlessly convert any database into Excel report

   2021 · its alternatives →

5. 5
   Supermetrics for BigQuery▲16

   Get all your marketing data to BigQuery without code

   2019 · supermetrics.com · its alternatives →

6. 6
   DataBackfill▲131

   Backfill your historical GA4 data to BigQuery

   2024 · databackfill.com · its alternatives →

7. 7
   Hyperquery▲255

   Data notebook built for speed, visibility, and collaboration

   2023 · its alternatives →

8. 8
   ShapedQL▲211

   The SQL engine for search, feeds, and AI agents

   Jan 2026 · its alternatives →

9. 9
   Sherloq▲545

   Collaborative AI repository for SQL users

   2024 · its alternatives →

10. 10
    PgQueuer – Transform PostgreSQL into a Job Queue▲376

    PgQueuer is a Python job queue that uses PostgreSQL for everything — queue storage, locking, notifications. No Redis, no RabbitMQ, no separate broker to operate. If your app already has Postgres, you already have the broker. After ~2 years and 26 minor releases, 1.0 ships today as the first stable release. Strict semver from here on. Thanks to everyone who contributed and left feedback!

    2024 · github.com · its alternatives →

11. 11
    Zetta▲141

    I'd love feedback for our new business intelligence product Zetta (https://zettadata.ai). It's a lightweight, metrics-first approach to analytics that makes it easy to have properly governed dashboards from the jump. We do require registration, but we have a free tier (and I'm happy to give out coupons for the paid tier). To get started: - Connect a database or data warehouse (we support BigQuery, Snowflake, Redshift, Postgres, and MySQL) - Go to the metric builder and set up a data model and metrics. Data models are just references to tables or queries that create the base dataset…

    2025 · zettadata.ai · its alternatives →

12. 12
    OWOX BI Pipeline▲189

    Build up an end-to-end analytics system

    2018 · its alternatives →

13. 13
    ClearQuery▲84

    Analytics For Humans

    2022 · its alternatives →

14. 14
    Sherloq▲304

    Create one place for all your SQL, directly on your editor

    2025 · its alternatives →

15. 15SA
    ShapedQL – A SQL engine for multi-stage ranking and RAG▲80

    Hi HN, I’m Tullie, founder of Shaped. Previously, I was a researcher at Meta AI, worked on ranking for Instagram Reels, and was a contributor to PyTorch Lightning. We built ShapedQL because we noticed that while retrieval (finding 1,000 items) has been commoditized by vector DBs, ranking (finding the best 10 items) is still an infrastructure problem. To build a decent for you feed or a RAG system with long-term memory, you usually have to put together a vector DB (Pinecone/Milvus), a feature store (Redis), an inference service, and thousands of lines of Python to handle business logic…

    Jan 2026 · playground.shaped.ai · its alternatives →

16. 16
    ClearQuery▲67

    Analytics For Humans

    2018 · its alternatives →

17. 17DS
    Describe SQL using natural language, and execute against real data▲66

    I played around with GPT-3 to build this demo. Select a public BigQuery dataset and describe your query in natural English, then edit the generated SQL as needed and execute it. https://app.tabbydata.com/sql-assistant-demo

    2021 · its alternatives →

18. 18HA
    Hashquery, a Python library for defining reusable analysis▲67

    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 →

19. 19
    AskYourDatabase Desktop▲138

    No SQL query, just chat with your SQL/NoSQL databases

    2023 · askyourdatabase.com · its alternatives →

20. 20
    Anyquery▲110

    Query anything with SQL (e.g. Notion, GitHub, JSON)

    2024 · anyquery.dev · its alternatives →

21. 21
    Analytics4now▲150

    Universal analytics reports with GA4 data from BigQuery

    2023 · databloo.com · its alternatives →

22. 22
    veeQuery▲7

    Database & big files query, data exploration & visualization

    2021 · its alternatives →

23. 23
    An experimental distributed SQL database from scratch in Go▲104

    LBADD: An experimental, distributed SQL database. Contribute to tomarrell/lbadd development by creating an account on GitHub.

    2019 · github.com · its alternatives →

24. 24
    Stream to BigQuery by Keen IO▲14

    An easy way to get all your interaction data in BigQuery

    2017 · keen.io · its 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 →