Dev tools · alternatives · 2026
24 alternatives to Grafana datasource plugin for open source time series database
SiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy anal
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. Grafana datasource plugin for open source time series database launched in 2017; newer entries below may have overtaken it.
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SiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy anal
2017 · github.com · its alternatives →
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QuestDB▲194Fastest open source database for time-series and analytics
2020 · questdb.com · its alternatives →
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GreptimeDB▲72Open-source database for large-scale time-series data
2022 · greptime.com · its alternatives →
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Metabase▲313Open source business intelligence - Installs in 5 minutes
2015 · metabase.com · its alternatives →
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QuestDB live demo. Query three large datasets and more than 2 billion rows in milliseconds with SQL
2020 · try.questdb.io · its alternatives →
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DataMonkey▲676Your GeoAI to combine in-house with public map-based data
2024 · datamonkey.tech · its alternatives →
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A Go SQL query builder and struct mapper. Contribute to samonzeweb/godb development by creating an account on GitHub.
2016 · github.com · its alternatives →
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Query OpenAI’s GPT-3 from directly inside your database
2023 · mindshub.ai · its alternatives →
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SereneDBfree▲262Ultra-Fast Search & Analytics Database, Agentic AI ready
Sep 2026 · serenedb.com · its alternatives →
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QuestDB is the open-source time-series database for demanding workloads: ultra-low latency, high throughput, tiered storage, and fast SQL on open formats.
2019 · questdb.io · its alternatives →
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An open source time-series SQL database powered by Postgres!
2019 · github.com · its alternatives →
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2018 · pushdata.io · its alternatives →
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Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
2025 · github.com · its alternatives →
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I had already posted the project a couple of years ago, and it gained some interest, but a lot of stuff has been done since then, especially regarding performance, a completely new JSON store, a REST API, various internals refactored, an improved JSONiq based query engine allowing updates, implementing set-oriented join optimizations, a now already dated web UI, a new Kotlin based CLI, a Python and TypeScript client to ease the use of Sirix... First prototypes from a precursor stem already from 2005. So, what is it all about? The system uses ideas from ZFS (a keyed index trie, storing…
2023 · github.com · its alternatives →
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The most advanced distribution system of NDB Cluster, by Mikael Ronström the inventor of NDB Cluster; made to work for the most advanced ML applications.
2021 · rondb.com · its alternatives →
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Metabase grounds every answer in your semantic layer — your metrics and business logic — so you can inspect the query behind it.
2015 · metabase.com · its alternatives →
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One year ago I open-sourced my very first 'real' project and shared it here. I was a college student in my senior year and desperately looking for a job. At the time of sharing it i couldn't even afford a domain and naively let someone buy the one i had my eyes on lol. It's been a hell of a year with this blowing up, me moving to another country, and switching 2 jobs. In a year we somehow managed to hit 26k stars, grow a 1000+ person discord community, and support 37 languages. I couldn't be more grateful for the community that helped this grow, but now i don't know what direction to take…
2025 · drawdb.app · its alternatives →
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Hey HN! We are Jonathan & Guy, and we are happy to share a project we’ve been working on. ChartDB is a tool to help developers and data analysts quickly visualize database schemas by generating ER diagrams with just one query. A unique feature of our product is AI-Powered export for easy migration. You can give it a try at https://chartdb.io and find the source code on GitHub. Next steps ---> More AI. We’d love feedback :)
2024 · github.com · its alternatives →
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I've already posted yesterday, but I'd really love to get comments, any kind of questions, suggestions and help would be greatly appreciated as it's an Open Source project of mine (and was for others during my studies at the University of Konstanz 6 years ago). Since then I spent countless ours to bring forth the idea of a versioned storage system, especially well suited for analytical tasks for timd-varying data. Especially I'd love to discuss what documentation you need, which next steps are necessary (JSON, Cloud...), API additions or changes... I've updated the README quiet a bit, such…
2018 · its alternatives →
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:man: a simple, git diffable JSON database on yer filesystem. By the power of NodeJS - DO-SAY-GO/sirdb
2020 · github.com · its alternatives →
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📈 A small, fast chart for time series, lines, areas, ohlc & bars - leeoniya/uPlot
2019 · github.com · its alternatives →
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Hey HN! We are building Epsilla (https://github.com/epsilla-cloud/vectordb), an open-source, self-hostable vector database for semantic similarity search that specializes in low query latency. When do we need a vector database? For example, GPT-3.5 has a 16k context window limit. If we want to let it answer a question about a 300 page book, we cannot put the whole book content into the context. We have to choose the sections of the book that are most relevant to the question. Vector database is specialized at ranking and picking the most relevant content from a large pool…
2023 · github.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 →