Elasticsearch vs Vespa
A side-by-side comparison of two self-hosted search engines options — licensing, setup difficulty, resource needs, and what each one replaces.
Elasticsearch
Distributed search and analytics engine
VS
Vespa
Open-source big data serving engine for search and recommendation
| Feature | Elasticsearch | Vespa |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 100 · Excellent | 91 · Excellent |
| Category | Search Engines | Search Engines |
| License | Elastic-2.0 | Apache-2.0 |
| Language | Java | Java |
| Setup difficulty | Hard | Hard |
| Min. RAM | 2,048 MB | 4,096 MB |
| Deployment | docker, kubernetes, bare-metal | docker, kubernetes, bare-metal |
| GitHub stars | ★ 77,969 | ★ 7,109 |
| First released | 2010 | 2017 |
| Replaces | Algolia, Splunk | Elasticsearch, Algolia |
What are Elasticsearch and Vespa?
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a wide variety of use cases. It stores and indexes large volumes of data for fast full-text and structured search.
- Distributed full-text search
- Aggregations and analytics
- Horizontal scalability
- Rich query DSL
Vespa
Vespa is an open-source platform for low-latency computation over large data sets, powering search, recommendation and AI applications. It combines storing, searching, ranking and organizing data.
- Combined search and ML ranking
- Vector and tensor computation
- Real-time indexing at scale
- Used for large recommendation systems
Elasticsearch vs Vespa: key differences
Both projects are written in Java. Licensing differs — Elastic-2.0 for Elasticsearch versus Apache-2.0 for Vespa. Elasticsearch is the lighter option, starting around 2,048 MB of RAM against 4,096 MB for Vespa. Elasticsearch is the more established project (first released 2010), while Vespa arrived in 2017. Elasticsearch has the considerably larger community, at 77,969 GitHub stars versus 7,109.
Why pick each one
Choose Elasticsearch if…
- Extremely powerful and mature
- Huge ecosystem
Watch out for
- Resource intensive
- Complex to tune
Choose Vespa if…
- Extremely powerful and scalable
- Built-in ML ranking
Watch out for
- Steep learning curve
- Heavy resource needs
Frequently asked questions
Is Elasticsearch or Vespa better?
Neither is universally better. Elasticsearch has the larger community; both share a hard setup difficulty, so the decision comes down to features and licensing.
Are Elasticsearch and Vespa free and open-source?
Yes. Elasticsearch is licensed under Elastic-2.0 and Vespa under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Elasticsearch and Vespa with Docker?
Elasticsearch: yes. Vespa: yes.
Which is lighter on resources, Elasticsearch or Vespa?
Elasticsearch has the smaller minimum footprint at 2,048 MB of RAM, compared to about 4,096 MB for Vespa. Real-world usage depends on library size, user count, and enabled features.