nowfound

Dev tools · alternatives · 2026

24 alternatives to DQOps Data Quality Operations Center

Open-source data quality with both code-first and no-code

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. DQOps Data Quality Operations Center launched in 2024; newer entries below may have overtaken it.

  1. 1

    With the OpenDataDiscovery Platform, you can collect metadata from any data source, regardless of format or location. This powerful platform provides data discovery, observability, and trust for your entire data pipeline.

    2022 · opendatadiscovery.org · its alternatives →

  2. 2

    Find and fix your data quality issues in minutes, not months

    2024 · avo.app · its alternatives →

  3. 3
    Telmai▲98

    Monitor your customer data quality in real-time

    2021 · telm.ai · its alternatives →

  4. 4
    Streamdal▲143

    Detect and resolve data quality incidents faster

    2023 · streamdal.com · its alternatives →

  5. 5

    First open-source data discovery and observability platform

    2022 · opendatadiscovery.org · its alternatives →

  6. 6
    Anomalofree tier▲302

    Your data is always talking. Don't miss what it's saying.

    Sep 2026 · anomalo.com · its alternatives →

  7. 7
    Jitsu 2.0▲238

    Open-source customer data platform

    2023 · jitsu.com · its alternatives →

  8. 8

    Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…

    2024 · github.com · its alternatives →

  9. 9
    oqoqo▲325

    Most benchmarks today exist in curated environments and do not translate well to the real world. We built Oqoqo to bridge this gap. Oqoqo makes it super simple to build realistic evals and custom benchmarks for tasks users actually care about. Oqoqo can: - Reliably measure how agent friendly your product surfaces are against Codex, Claude Code, OpenClaw, Hermes, Pi, Opencode, Cursor, GitHub Copilot - Regression test MCP, CLI, skills, SDK, and any agent facing interface (we are continuously using Oqoqo to dogfood and improve our own MCP/CLI) - Create and share custom benchmarks for how…

    Aug 2026 · oqoqo.ai · its alternatives →

  10. 10
    Jitsu▲244

    Open-source real-time data collection platform

    2021 · jitsu.com · its alternatives →

  11. 11
    QuestDB▲194

    Fastest open source database for time-series and analytics

    2020 · questdb.com · its alternatives →

  12. 12
    decube▲80

    Be the first to learn and act on data quality issues.

    2022 · decube.io · its alternatives →

  13. 13OS
  14. 14

    DQD helps you to evaluate the quality of location data feeds

    2019 · quadrant.io · its alternatives →

  15. 15
    Grai▲84

    Catch data issues during CI, not in production

    2023 · its alternatives →

  16. 16
    iceDQ▲7

    DataOps platform for testing and monitoring

    2025 · icedq.com · its alternatives →

  17. 17CA

    Hi HN! We’re Clemens and Felix from Cito - thrilled to show you what we’ve built to help data engineers stay on top of data quality issues. Think Datadog meets Incident.io. Tests in dbt are great when checking whether specific expectations are true, but don’t work well for use cases where data patterns may change over time. When relying on testing alone, data teams regularly face situations where business stakeholders identify data issues in dashboards first, eroding trust. In such situations, understanding the implications of an issue and debugging can be a very manual and time-consuming…

    2022 · citodata.com · its alternatives →

  18. 18

    Free open-source connectors for data analysts

    2025 · github.com · its alternatives →

  19. 19
    Datamin▲73

    Low-code Data Observability for modern B2B Operations

    2022 · datamin.io · its alternatives →

  20. 20OO

    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 · its alternatives →

  21. 21
    supOS▲92

    Open Source Industrial Data Platform

    2025 · its alternatives →

  22. 22

    Open source unstructured data ETL for AI first applications

    2024 · instill-ai.com · its alternatives →

  23. 23

    Your data, our framework

    2025 · dqframework.com · its alternatives →

  24. 24

    Hello all, I created QUALITY.md to help build a holistic quality evaluation process for my projects. Turns out it's also ideal for loop engineering. I'm hoping this provides a valuable contribution to the conversation around quality and craft and having AI help us in the effort. I hope to shift the mindset from a reactive/review/repair mindset to a proactive care mindset. Give it a go. I look forward to your thoughts/comments/feedback! Website: https://getquality.md GitHub: https://github.com/qualitymd/quality.md

    Jul 2026 · getquality.md · its alternatives →

Also compare

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 →