PISA vs Weaviate
A side-by-side comparison of two self-hosted search engines options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
PISA
Performant indexes and search for large text collections
VS
Weaviate
Open-source vector database for semantic and AI search
| Feature | PISA | Weaviate |
|---|---|---|
| Category | Search Engines | Search Engines |
| License | Apache-2.0 | BSD-3-Clause |
| Language | C++ | Go |
| Setup difficulty | Hard | Medium |
| Min. RAM | 1,024 MB | 2,048 MB |
| Deployment | source, binary | docker, kubernetes, helm |
| GitHub stars | ★ 1,054 | ★ 16,704 |
| First released | 2017 | 2019 |
| Replaces | Elasticsearch | Pinecone, Algolia |
Why pick each one
Choose PISA if…
- Released under the Apache-2.0 license
- Active community (1.1k GitHub stars)
- Written in C++
Frequently asked questions
Is PISA or Weaviate better?
Weaviate is the stronger all-round pick: it has both the larger community and the simpler medium setup. Consider PISA if its specific feature set fits your needs better.
Are PISA and Weaviate free and open-source?
Yes. PISA is licensed under Apache-2.0 and Weaviate under BSD-3-Clause. Both can be self-hosted at no software cost.
Can I run PISA and Weaviate with Docker?
PISA: check the project docs for container support. Weaviate: yes.