Meilisearch vs OpenSearch
Both are alternatives to Algolia. Here's how they stack up — verified facts, no spin.
Also searched as OpenSearch vs Meilisearch — same comparison, one verdict.
Meilisearch
TOP PICKGreat search out of the box, on one small server.
Meilisearch is a Rust search engine built to be excellent without configuration: typo tolerance, prefix search, faceting and sub-50ms responses are the defaults rather than settings you tune into existence. It ships an Algolia-compatible InstantSearch adapter, so the front-end work in a migration is small. Around 58.8k stars. One precision the directories usually miss: the licence is `MIT AND BUSL-1.1` — the main engine is MIT, but the Meilisearch Enterprise Edition components fall under the Business Source License. For ordinary self-hosted use that changes nothing; it matters if you are building a hosted search product on top of it.
OpenSearch
The Apache-2.0 Elasticsearch fork — when search is only half the job.
OpenSearch is the fork AWS created after Elastic changed Elasticsearch's licence in 2021, kept under Apache-2.0 and now governed by a foundation. It is far more than a search box: aggregations, analytics, log ingestion, dashboards and vector search in one platform, which is exactly right if search and observability are the same infrastructure problem for you and exactly wrong if you only wanted a fast product search. Around 13.4k stars. It is the heaviest option here and it earns that weight only when you need what it does.
Side by side
| Meilisearch | OpenSearch | |
|---|---|---|
| Sovereignty Score | 88 | 91 |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Local-first | Yes | Yes |
| License | MIT, with enterprise-edition components under BUSL-1.1 | Apache-2.0 |
| Pricing | Free and open source to self-host. Meilisearch Cloud is paid, from a small monthly tier. | Free and open source. Managed OpenSearch is available from AWS and others. |
Meilisearch is Macrostack's recommended Algolia alternative, so it's our pick here.
Meilisearch
Strengths
- +Genuinely excellent relevance with no tuning — the best defaults here
- +Algolia-compatible InstantSearch adapter keeps the front end intact
- +Single Rust binary, low memory, runs happily on a small VPS
- +Fast to adopt: indexing to searching in well under an hour
Trade-offs
- −Enterprise-edition components are BUSL-1.1, not MIT
- −Less control over ranking than Algolia or Elasticsearch when you need it
- −Horizontal scaling is newer and less proven than the hosted options
- −You own uptime, backups and index freshness
OpenSearch
Strengths
- +Apache-2.0 under foundation governance — the licence question is settled
- +Handles search, analytics, logs and vectors in one platform
- +Enormous ecosystem inherited from Elasticsearch
- +Managed offerings exist if you would rather not operate a cluster
Trade-offs
- −Substantially heavier than the purpose-built search engines
- −JVM tuning and cluster operation are a real skill set
- −Relevance needs meaningful configuration to match Algolia
- −Overkill if all you need is a fast search box
Related alternative guides
Facts verified 2026-07-31. Licenses and pricing change — spotted something out of date? That's a correction we want.