Databases · head to head
Memcached vs Meilisearch

Meilisearch
Databases
Fast open-source search engine built for typo tolerance
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Memcached no persistence at all: restart a node and its cache is gone, which every design must assume; Meilisearch not built for log analytics or aggregation-heavy workloads, which is where Elasticsearch remains the answer
- They diverge on capability: Memcached covers In-memory key-value cache, Meilisearch covers Typo tolerance.
Where they differ
Only the attributes on which Memcached and Meilisearch actually diverge.
| Attribute | Memcached | Meilisearch |
|---|
Identical on both: starting price (Free), pricing model (Open source, no licence fee; managed cloud billed separately), free tier (Yes), platforms (Linux, macOS, Windows, Docker, Self-hosted), user rating (Not yet rated), category (Databases).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Memcached
- In-memory key-value cache
- Multithreaded
- Client-side sharding
- Predictable memory use
Only in Meilisearch
- Typo tolerance
- Search as you type
- Faceted search
- Simple API
What people use each for
The jobs each tool is most often brought in to do.
Memcached
- Caching expensive database query results to cut loadnot Meilisearch
- Session storage where losing sessions on restart is acceptablenot Meilisearch
- Fronting an API whose responses are costly and change slowlynot Meilisearch
Meilisearch
- Adding product or content search to an application without running Elasticsearchnot Memcached
- Search-as-you-type interfaces where latency is visible to the usernot Memcached
- Replacing SQL LIKE queries that cannot handle typos or rankingnot Memcached
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Memcached
- No persistence at all: restart a node and its cache is gone, which every design must assume
- No replication or failover, so losing a node loses that share of the cache
- Only simple key-value, with none of the lists, sorted sets or streams Redis offers
- Values are capped at 1MB by default, which surprises teams caching large documents
Meilisearch
- Not built for log analytics or aggregation-heavy workloads, which is where Elasticsearch remains the answer
- Scaling across many nodes is less mature than the older engines it competes with
- Memory use grows with index size, and large datasets need real capacity planning
Pricing, plan by plan
Memcached
Free- MemcachedFree
- Full functionality
- Self-hosted
- No usage limits
Meilisearch
Free- MeilisearchFree
- Full functionality
- Self-hosted
- No usage limits
Which should you pick?
Choose Memcached if
- You need in-memory key-value cache.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Self-hosted.
- You also want multithreaded.
Choose Meilisearch if
- You need typo tolerance.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Self-hosted.
- You also want search as you type.
Questions people ask
- Is Memcached or Meilisearch better?
- Neither clearly leads. Memcached starts at Free and Meilisearch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Memcached or Meilisearch?
- Memcached starts at Free and Meilisearch at Free.
- Does Memcached or Meilisearch run on more platforms?
- Both run on Linux, macOS, Windows, Docker, Self-hosted, so platform support will not decide this one for you.
- Can I use Memcached for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Memcached best used for?
- Memcached is most often used for caching expensive database query results to cut load, session storage where losing sessions on restart is acceptable, fronting an api whose responses are costly and change slowly. Of those, caching expensive database query results to cut load and session storage where losing sessions on restart is acceptable are not what Meilisearch is typically brought in for.
- What can Memcached do that Meilisearch cannot?
- Memcached covers In-memory key-value cache, Multithreaded, Client-side sharding, Predictable memory use. Meilisearch covers Typo tolerance, Search as you type, Faceted search, Simple API.
Answered from the vendors’ own pages
Memcached: Is Memcached free?
Yes, open source with no licence fee.
Meilisearch: Is Meilisearch free?
The engine is open source and free to self-host. Meilisearch Cloud is a paid managed service.
Memcached: Memcached or Redis?
Memcached is a pure cache: simpler, multithreaded and very predictable. Redis adds persistence, replication and rich data structures, which is why it is the default choice unless you specifically want a cache and nothing more.
Meilisearch: Meilisearch or Elasticsearch?
Meilisearch is far simpler for application search and works well by default. Elasticsearch is the choice when you also need log analytics and heavy aggregations.
Memcached: Does Memcached persist data?
No. Everything is in memory and lost on restart, by design.
Meilisearch: Does it handle typos automatically?
Yes. Typo tolerance is on by default rather than something you configure.
Related pages
More on Meilisearch
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- Meilisearch vs Apache Kafka
- Meilisearch vs PlanetScale
- Meilisearch vs Turso
- Meilisearch vs Azure SQL
- Meilisearch vs ClickHouse
- Meilisearch vs Couchbase
- Meilisearch vs DuckDB
- Meilisearch vs MariaDB
- Meilisearch vs Oracle Database
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- Meilisearch vs Firebolt
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