Meilisearch vs Sonic
Both are alternatives to Algolia. Here's how they stack up — verified facts, no spin.
Also searched as Sonic 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.
Sonic
A search index in about 30 MB of RAM, when you need less than you think.
Sonic is a deliberately minimal Rust search index: it stores identifiers rather than documents, so you query Sonic for matching IDs and fetch the actual records from your own database. That design keeps memory in the tens of megabytes where a conventional engine wants gigabytes, and it makes Sonic a serious option for small services, edge deployments and anything running on hardware you would not consider adequate for search. MPL-2.0, around 21.3k stars. It is not trying to be Algolia — it has no faceting and no relevance tuning — and being clear about that is the point of listing it.
Side by side
| Meilisearch | Sonic | |
|---|---|---|
| Sovereignty Score | 88 | 94 |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Local-first | Yes | Yes |
| License | MIT, with enterprise-edition components under BUSL-1.1 | MPL-2.0 |
| Pricing | Free and open source to self-host. Meilisearch Cloud is paid, from a small monthly tier. | Free and open source. Runs in around 30 MB of RAM. |
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
Sonic
Strengths
- +Extraordinarily light — tens of megabytes rather than gigabytes
- +Fast enough for most real workloads despite the footprint
- +MPL-2.0, simple to deploy, almost nothing to operate
- +Ideal for edge, embedded and small-service deployments
Trade-offs
- −Returns identifiers only — you fetch the documents yourself
- −No faceting, no aggregations, no relevance tuning
- −Minimal ecosystem and few integrations
- −Wrong tool if search is a core product surface
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Facts verified 2026-07-31. Licenses and pricing change — spotted something out of date? That's a correction we want.