head to head · open source
Elasticsearch vs SeekStorm
Elasticsearch has 78,457 GitHub stars, 26,234 forks, 6,059 open issues and last shipped yesterday. SeekStorm has 1,932 stars, 74 forks, 18 open issues and last shipped 3 days ago. Elasticsearch leads on adoption by 3,961% (78,457 vs 1,932 stars). Elasticsearch is written in Java under a custom or non-standard licence; SeekStorm is written in Rust under Apache-2.0. Elasticsearch has attracted 33% as many forks as stars, SeekStorm 4%. Elasticsearch 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
| Elasticsearch | SeekStorm | |
|---|---|---|
| GitHub stars | ★ 78K | ★ 1.9K |
| License | Custom / other | Apache-2.0 |
| Written in | Java | Rust |
| Last push | 2026-11-02 | 2026-10-31 |
| Forks | ⑂ 26K | ⑂ 74 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Elasticsearch if
- You weight community size — 78K stars and counting
- You want the Custom / other license terms
- Your stack matches Java
- You value the larger contributor base for long-term maintenance
pick SeekStorm if
- You want the SeekStorm feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Rust
- You evaluated both and SeekStorm fits your workflow better
About Elasticsearch
= Elasticsearch Elasticsearch is a distributed search and analytics engine, scalable data store and vector database optimized for speed and relevance on production scale workloads. Elasticsearch is the foundation of Elastic's open Stack platform. Search in near real time over massive datasets, perform vector searches, integrate with generative AI applications, and much more. Use cases enabled by Elasticsearch include: Augmented Generation (RAG)] search] Full text search Logs Metrics Application performance monitoring (APM) Security logs \... and more! To learn more about Elasticsearch's features and…
read the full Elasticsearch overview →
About SeekStorm
SeekStorm : sub millisecond , native vector & lexical search in process library & multi tenancy server , in Rust . Development started in 2015, in production since 2020, Rust port in 2023, open sourced in 2024, work in progress. SeekStorm is open source licensed under the Apache License 2.0 SeekStorm in process search library SeekStorm multi tenancy search server SeekStorm REST client (Rust) SeekStorm REST client (Python) SeekStorm REST client (TypeScript) SeekStorm REST client (C ) SeekStorm REST client (Java) SeekStorm Instant search adapter A drop in adapter to redirect an existing Algolia InstantSearch.js…
read the full SeekStorm overview →
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Frequently asked questions
Is Elasticsearch or SeekStorm more popular?
Elasticsearch has 78,457 GitHub stars and SeekStorm has 1,932. Elasticsearch has the larger community by that measure.
Are Elasticsearch and SeekStorm free?
Both are open source. Elasticsearch has no licence declared in this registry, and SeekStorm is licensed under Apache-2.0. Both are free to self-host.
What is the difference between Elasticsearch and SeekStorm?
Elasticsearch is written in Java and SeekStorm in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Elasticsearch or SeekStorm?
Choose Elasticsearch if you want the larger community (78,457 stars) or its Custom / other licence terms. Choose SeekStorm if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.