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Databases · head to head

Convex vs Typesense

Convex logo

Convex

Databases

Reactive backend combining a document database, TypeScript server functions and live queries, source-available under the Functional Source Licence.

From
Free
Rated
-
Typesense logo

Typesense

Databases

Open-source typo-tolerant search engine as an Algolia alternative

From
Free
Rated
-

The short version

  • Each has a real cost: Convex the Functional Source Licence is not an OSI open source licence: competing use is prohibited until each release reaches its second anniversary and converts to Apache 2.0, so you may self-host but you may not build a service on it.; Typesense holding the index in memory caps dataset size by available RAM, which becomes expensive at scale
  • They diverge on capability: Convex covers Reactive queries, Typesense covers In-memory index.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Convex and Typesense actually diverge.

Attributes where Convex and Typesense differ
AttributeConvexTypesense
Pricing modelsubscriptionOpen source, no licence fee; managed cloud billed separately
PlatformsWebLinux, macOS, Docker, Self-hosted

Identical on both: starting price (Free), free tier (Yes), 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 Convex

  • Reactive queries
  • TypeScript server functions
  • ACID transactions
  • Document database
  • Scheduling and workflows
  • File storage
  • Text and vector search
  • End-to-end types

Only in Typesense

  • In-memory index
  • Typo tolerance
  • Faceting and filtering
  • Vector search

What people use each for

The jobs each tool is most often brought in to do.

Convex

  • Collaborative applications where several users see the same data and every client must reflect a change immediatelynot Typesense
  • Agent backends that need durable state, scheduled work and transactional writes without assembling a queue, a database and a cachenot Typesense
  • Small product teams who need a complete backend, including auth integration, file storage and subscriptions, without hiring infrastructure engineersnot Typesense
  • Prototypes that must become production without a rewrite of the data layer, where end-to-end TypeScript types remove a class of integration bugsnot Typesense

Typesense

  • Replacing Algolia when per-search pricing outgrows the valuenot Convex
  • Instant search over a product catalogue or documentation sitenot Convex
  • Hybrid keyword and vector search without running two systemsnot Convex

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Convex

  • The Functional Source Licence is not an OSI open source licence: competing use is prohibited until each release reaches its second anniversary and converts to Apache 2.0, so you may self-host but you may not build a service on it.
  • Transactions are bounded at one second of user code, 16 MiB read and written, 32,000 documents scanned and 16,000 written, so every backfill, migration or bulk import has to be chunked into scheduled batches rather than written as a single operation.
  • There is no SQL and no query planner; you declare up to 32 indexes per table and traverse them, and joins are loops in TypeScript, so an unanticipated access pattern requires a schema and index change rather than a new query.
  • It is not an analytical database, so reporting means streaming data out to a warehouse and BI tools cannot be pointed at Convex directly, which adds a pipeline the architecture diagram did not originally include.
  • The application is written against Convex's function and client APIs rather than a standard protocol, so leaving means rewriting the data access layer and replacing the reactivity model, not repointing a connection string.

Typesense

  • Holding the index in memory caps dataset size by available RAM, which becomes expensive at scale
  • Narrower than Elasticsearch by design: no log analytics or complex aggregation pipelines
  • Smaller ecosystem and community than Algolia or Elasticsearch, so fewer integrations exist off the shelf

Pricing, plan by plan

Convex

Free
  • Free & StarterFree
    • Supports 1-6 developers
    • Reactive database
    • File storage
  • Professional$25/month per developer
    • Supports up to 20 developers
    • All Starter features
    • Log streaming
  • Business & Enterprise$2500/month minimum
    • Supports 50+ developers
    • SAML/SSO
    • Service SLAs

Typesense

Free
  • TypesenseFree
    • Full functionality
    • Self-hosted
    • No usage limits

Which should you pick?

Choose Convex if

  • You need reactive queries.
  • You want to start without paying.
  • You also want typescript server functions.

Choose Typesense if

  • You need in-memory index.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Self-hosted.
  • You also want typo tolerance.

Questions people ask

Is Convex or Typesense better?
Neither clearly leads. Convex starts at Free and Typesense at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Convex or Typesense?
Convex starts at Free and Typesense at Free.
Does Convex or Typesense run on more platforms?
Convex runs on Web. Typesense runs on Linux, macOS, Docker, Self-hosted.
Can I use Convex for free?
Both have a free tier, so you can try either at no cost before committing.
What is Convex best used for?
Convex is most often used for collaborative applications where several users see the same data and every client must reflect a change immediately, agent backends that need durable state, scheduled work and transactional writes without assembling a queue, a database and a cache, small product teams who need a complete backend, including auth integration, file storage and subscriptions, without hiring infrastructure engineers, prototypes that must become production without a rewrite of the data layer, where end-to-end typescript types remove a class of integration bugs. Of those, collaborative applications where several users see the same data and every client must reflect a change immediately and agent backends that need durable state, scheduled work and transactional writes without assembling a queue, a database and a cache are not what Typesense is typically brought in for.
What can Convex do that Typesense cannot?
Convex covers Reactive queries, TypeScript server functions, ACID transactions, Document database. Typesense covers In-memory index, Typo tolerance, Faceting and filtering, Vector search.

Answered from the vendors’ own pages

Convex: Is Convex open source?

It is source-available under FSL-1.1-Apache-2.0. You may read, modify and self-host it, but competing use is prohibited until each release converts to Apache 2.0 on its second anniversary.

Typesense: Is Typesense free?

The engine is open source and free to self-host. Typesense Cloud is a paid managed option.

Convex: Can I self-host it?

Yes. The backend, dashboard and CLI can run on your own infrastructure, with most of the features of the cloud product. Self-hosted instances include a telemetry beacon that can be disabled.

Typesense: Why choose Typesense over Algolia?

Cost and control. Algolia charges per search and per record; Typesense can be self-hosted with no per-query fee, at the cost of running it yourself.

Convex: Does it support SQL?

No. Data is accessed through a TypeScript query builder over declared indexes. Relationships are traversed in code, which is explicit and type-safe but means no ad hoc querying.

Typesense: Does Typesense support vector search?

Yes, including hybrid search combining keyword and semantic matching in one query.

Convex: What happens if a mutation exceeds the limits?

It fails rather than running longer, so bulk work must be split into batches and scheduled. The limits are per transaction: one second of user code, 16 MiB read and written, 32,000 documents scanned and 16,000 written.

Convex: How does reactivity actually work?

Queries are deterministic functions and Convex records the data each one read. When a mutation changes that data, affected queries are re-run and subscribed clients receive the new result, so cache invalidation is handled by the platform.

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