head to head · open source
Qdrant vs OpenSearch
Qdrant has 35,390 GitHub stars, 2,793 forks, 704 open issues and last shipped yesterday. OpenSearch has 13,951 stars, 3,117 forks, 3,167 open issues and last shipped yesterday. Qdrant leads on adoption by 154% (35,390 vs 13,951 stars). Qdrant is written in Rust under Apache-2.0; OpenSearch is written in Java under Apache-2.0. Qdrant has attracted 8% as many forks as stars, OpenSearch 22%. OpenSearch was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Qdrant | OpenSearch | |
|---|---|---|
| GitHub stars | ★ 35K | ★ 14K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Rust | Java |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 2.8K | ⑂ 3.1K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Qdrant if
- You weight community size — 35K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Rust
- You value the larger contributor base for long-term maintenance
pick OpenSearch if
- You want the OpenSearch feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Java
- You evaluated both and OpenSearch fits your workflow better
About Qdrant
Vector Search Engine for the next generation of AI applications Qdrant (read: quadrant ) is a vector similarity search engine and vector database. It provides a production ready service with a convenient API to store, search, and manage points—vectors with an additional payload. Qdrant is tailored for extended filtering support, making it useful for all sorts of neural network or semantic based matching, faceted search, and other applications. Qdrant is written in Rust 🦀, which makes it fast and reliable even under high load. See benchmarks. With Qdrant, embeddings or neural network encoders can be turned into…
read the full Qdrant overview →
About OpenSearch
Welcome! Project Resources Code of Conduct Security License Copyright Trademark Welcome! OpenSearch is an open source, enterprise grade search and observability suite that brings order to unstructured data at scale. Project Resources Project Website Downloads Documentation Need help? Try Forums or Slack Contributing to OpenSearch Maintainer Responsibilities Release Management Admin Responsibilities Testing Security Code of Conduct The project's Code of Conduct outlines our expectations for all participants in our community, based on the OpenSearch Code of Conduct. Please contact conduct@opensearch.foundation…
read the full OpenSearch overview →
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Frequently asked questions
Is Qdrant or OpenSearch more popular?
Qdrant has 35,390 GitHub stars and OpenSearch has 13,951. Qdrant has the larger community by that measure.
Are Qdrant and OpenSearch free?
Both are open source. Qdrant is licensed under Apache-2.0 and OpenSearch under Apache-2.0. Neither carries a licence fee.
What is the difference between Qdrant and OpenSearch?
Qdrant is written in Rust and OpenSearch in Java. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Qdrant or OpenSearch?
Choose Qdrant if you want the larger community (35,390 stars) or its Apache-2.0 licence terms. Choose OpenSearch if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.