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Databases · head to head

Convex vs Materialize

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
-
Full reviewWebsite
Materialize logo

Materialize

Databases

Live context layer for AI agents using real-time SQL transformations

From
Free
Rated
-
Full reviewWebsite

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.; Materialize community tier limited to 24GB memory, restricting production deployments
  • They diverge on capability: Convex covers Reactive queries, Materialize covers Real-time Data Ingestion.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Convex and Materialize actually diverge.

Attributes where Convex and Materialize differ
AttributeConvexMaterialize
Pricing modelsubscriptionUsage-based compute credits with volume discounts for annual prepay
PlatformsWebCloud, Self-Managed, Local
FoundedUnknown2019

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 Materialize

  • Real-time Data Ingestion
  • SQL Transformations
  • Incremental Computation
  • Context Graph
  • Multiple Deployment Options
  • Agent Integration

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

Materialize

  • Building AI agent context layers from operational databasesnot Convex
  • Creating event-driven applications without message queue complexitynot Convex
  • Powering real-time analytics dashboards for user-facing applicationsnot Convex
  • Simplifying vector search indexing pipelinesnot 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.

Materialize

  • Community tier limited to 24GB memory, restricting production deployments
  • Compute credit pricing requires predicting usage patterns
  • Learning SQL transformation models adds complexity vs pre-built solutions
  • Self-managed deployments require operational expertise

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

Materialize

Free
  • CommunityFree
    • Free forever
    • Up to 24GB memory and 48GB disk
    • Community Slack support
  • Cloud On-Demand$1.5/compute-credit
    • Monthly billing
    • Pay-as-you-go
    • Chatbot and helpdesk support
  • Cloud Capacity$1.5/compute-credit
    • Annual prepaid pricing
    • Volume discounts available
    • Dedicated account team
  • Enterprise LicenseFree
    • Unlimited scale for production
    • Dedicated account team
    • Priority engineer support

Which should you pick?

Choose Convex if

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

Choose Materialize if

  • You need real-time data ingestion.
  • You want to start without paying.
  • You work on Cloud, Self-Managed, Local.
  • You also want sql transformations.
Materialize review

Questions people ask

Is Convex or Materialize better?
Neither clearly leads. Convex starts at Free and Materialize at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Convex or Materialize?
Convex starts at Free and Materialize at Free.
Does Convex or Materialize run on more platforms?
Convex runs on Web. Materialize runs on Cloud, Self-Managed, Local.
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 Materialize is typically brought in for.
What can Convex do that Materialize cannot?
Convex covers Reactive queries, TypeScript server functions, ACID transactions, Document database. Materialize covers Real-time Data Ingestion, SQL Transformations, Incremental Computation, Context Graph.

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.

Materialize: What is included in the free Community tier?

The Community tier is free forever for deployments up to 24GB memory and 48GB disk with community Slack support and self-service setup.

Source
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.

Materialize: What are the storage and networking costs?

Cloud plans charge for storage at $0.00004110-$0.00003151 per GB/hour and networking at $0.12-$0.09 per GB, with lower rates on the Capacity plan.

Source
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.

Materialize: How do I get started with Materialize?

Start with the free Community tier for development and non-production use, then migrate to Cloud On-Demand or Cloud Capacity when you need production scale.

Source
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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