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Dev tools · alternatives · 2026

24 alternatives to Marmot – Single-binary data catalog (no Kafka, no Elasticsearch)

Open-source data catalog focused on simplicity with a single binary deployment and only a PostgreSQL dependency. Features powerful search with boolean/text/metadata queries, visual lineage graphs and a growing CLI plugin ecosystem (Kafka, PostgreSQL, BigQuery, etc.) plus an API and Terraform provider

Marmot is a data catalog that runs as a single binary without requiring Kafka or Elasticsearch. It helps teams organize and discover data assets across their systems. The product is designed for organizations looking… 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
    Marmot▲73

    AI-native data catalog with search, lineage and MCP

    Apr 2026 · marmotdata.io · its alternatives →

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  3. 3FA
  4. 4
    Pylar▲502

    Hey HN! We're Hoshang & Vishal, the team behind Pylar - a governed access layer between databases and LLMs. We previously led data and AI and we kept seeing the same problem across teams using LLMs internally: agents are great with unstructured data, but the moment you want them touching your actual systems of record — Snowflake, Postgres, CRMs, product DBs — everything becomes fragile, risky, or outright unsafe. Two issues show up every single time: 1. Agents over-querying They don’t understand cost. They’ll happily generate queries that blow up your warehouse bill. 2. Accidental data…

    Dec 2025 · pylar.ai · its alternatives →

  5. 5HA

    Hasura delivers accurate, fast, and secure data access for AI and digital experiences. Trusted by data leaders and developers at Fortune 100 companies and high-growth AI and digital natives.

    2017 · hasura.io · its alternatives →

  6. 6
    Marple▲86

    Hi HN! I’m Nero from Marple, and we build time series tooling for Aerospace & Automotive. In 2020, we launched our first product: a sort of Grafana on steroids designed for high performance analysis. After integrating with a lot of different TS databases, we kept running into their design limits when trying to deliver the best performance & UX to our users. That’s why we are launching Marple DB today (https://www.marpledata.com/marple-db). Marple DB transforms measurements files (CSV, MAT, HDF5, TDMS, …) into a queryable lakehouse. We designed for extreme ingestion…

    2022 · marpledata.com · its alternatives →

  7. 7

    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 →

  8. 8
    SereneDBfree▲262

    Ultra-Fast Search & Analytics Database, Agentic AI ready

    Sep 2026 · serenedb.com · its alternatives →

  9. 9

    I built a SQLite VFS in Rust that serves cold queries directly from S3 with sub-second performance, and often much faster. It’s called turbolite. It is experimental, buggy, and may corrupt data. I would not trust it with anything important yet. I wanted to explore whether object storage has gotten fast enough to support embedded databases over cloud storage. Filesystems reward tiny random reads and in-place mutation. S3 rewards fewer requests, bigger transfers, immutable objects, and aggressively parallel operations where bandwidth is often the real constraint. This was explicitly inspired…

    Mar 2026 · github.com · its alternatives →

  10. 10SA
  11. 11

    Marmot hits major milestone I've been solo pushing (with help of AI), to really mature out the system. And yesterday I have hit the first milestone where MySQL API is stable enough to make WordPress install and work flawlessly. System is now in a place where you can spin off a cluster, and then spin off many replicas you want to scale out. I wanted to build something that is actually hard with AI, and it's been long and tough journey trying various AI tools, and huge amount of learning. I will follow up with a blog post, but since I have all the scripts to help you guys spin up cluster and…

    Dec 2025 · github.com · its alternatives →

  12. 12

    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 →

  13. 13CO
  14. 14
    dejavu▲90

    A modern, open-source data browser for Elasticsearch.

    2016 · opensource.appbase.io · its alternatives →

  15. 15

    Over the past few months, we've been building Prism; a fast, developer-first observability UI that's deeply integrated with our open-source database, Parseable. Prism is designed for engineers who debug distributed systems, sometimes at odd hours, and need answers right now, without having to deal with five different tools. Backstory: We spoke to dozens of observability practitioners in large enterprises. Across the board, we heard two things: (1)The RoI on observability tools is hard to justify. (2)OSS leads to tool sprawl, metrics in Grafana, logs in ELK, traces… somewhere. We wanted a…

    2022 · parseable.com · its alternatives →

  16. 16

    A distributed, fast open-source graph database featuring horizontal scalability and high availability - GitHub - vesoft-inc/nebula: A distributed, fast open-source graph database featuring horizontal scalability and high availability

    2020 · github.com · its alternatives →

  17. 17

    App to easily query, script, and visualize data from every database, file, and API. - multiprocessio/datastation

    2022 · github.com · its alternatives →

  18. 18

    A complete platform for integrating natural language to SQL

    2016 · its alternatives →

  19. 19

    Data analysis that works for engineers. World-leading time series data analysis platform for engineering teams.

    2020 · getmarple.io · its alternatives →

  20. 20

    Flexible command line tool to create graphs from CSV data - mcastorina/graph-cli

    2018 · github.com · its alternatives →

  21. 21

    Realize the speed, agility and performance of a scalable, composable web architecture with Netlify. Explore the composable web platform now!

    2019 · netlify.com · its alternatives →

  22. 22

    A simple and language-independent SQL schema migration tool - elwinar/rambler

    2016 · github.com · its alternatives →

  23. 23

    What's in your data? Extract schema, statistics and entities from datasets - capitalone/DataProfiler

    2021 · github.com · its alternatives →

  24. 24AS

    Hi HN, we're Eric and Dean, creators of SchemafreeSQL. Its roots go back to an on-line Web App Development Environment we developed back in 1999. It was comprised of an IDE, Web Server, Object Store, Virtual File System, Template System, and polyglot (Java, JavaScript, and Python). Of course, we named it “.OS”. Then we ended up dropping it. But that's a story for another time. It was the ease of use of the Object Store from .OS that we really missed, which brings us back to SchemafreeSQL. It provides an enhanced API to your SQL Database which allows it to function as a Schemaless…

    2022 · schemafreesql.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 →