Databases · head to head
FaunaDB vs Readyset

FaunaDB
Databases
Document-relational database whose hosted service closed in 2025 and whose core is now unmaintained Apache 2.0 code.
- From
- Free
- Rated
- -

Readyset
Databases
Database caching and optimization that reduces infrastructure costs 30-70%
- From
- Free
- Rated
- -
The short version
- Each has a real cost: FaunaDB the hosted service was wound down in 2025, so there is no managed Fauna to buy; every remaining user either operates a JVM cluster themselves or migrates, and both are projects rather than tasks.; Readyset pricing requires contacting sales team, making cost planning difficult
- They diverge on capability: FaunaDB covers Document-relational model, Readyset covers Automatic Query Optimization.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which FaunaDB and Readyset actually diverge.
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 FaunaDB
- Document-relational model
- FQL v10
- Distributed ACID transactions
- HTTPS access
- User-defined functions
- Attribute-based access control
- Document history
- Event streaming
Only in Readyset
- Automatic Query Optimization
- SQL-Level Caching
- Live Incremental Updates
- Zero-Touch Integration
- Query Interception
- AI Query Protection
What people use each for
The jobs each tool is most often brought in to do.
FaunaDB
- Keeping an existing Fauna-backed application alive on self-hosted infrastructure while a migration is planned and fundednot Readyset
- Extracting historical data from a Fauna dataset that can no longer be reached through the hosted APInot Readyset
- Studying a production implementation of deterministic distributed transactions, since the full server source is now readable under Apache 2.0not Readyset
- Forking the engine deliberately, where an organisation has JVM and distributed-systems staff and wants a document-relational store it fully controlsnot Readyset
Readyset
- Reducing database costs for AI workloads with unpredictable query patternsnot FaunaDB
- Improving read performance for frequently accessed data without hardware upgradesnot FaunaDB
- Protecting databases from performance degradation caused by agentic queriesnot FaunaDB
- Scaling read-heavy applications without database scaling costsnot FaunaDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
FaunaDB
- The hosted service was wound down in 2025, so there is no managed Fauna to buy; every remaining user either operates a JVM cluster themselves or migrates, and both are projects rather than tasks.
- The open-sourced repository has had no substantive activity since May 2025 and the drivers were frozen alongside it, so you inherit responsibility for security patches in a Scala distributed database that almost nobody else is running.
- FQL has no wire or dialect compatibility with anything else, so migrating off is a rewrite of every query, index and access rule in the application rather than a data export.
- No BI tool, ORM or CDC connector speaks FQL, so reporting and analytics always required exporting the data first, and that export tooling is now also unmaintained.
- The community was small before the shutdown and has dispersed since, so operational answers, tuning advice and people who have run a Fauna cluster in anger are all scarce when something breaks.
Readyset
- Pricing requires contacting sales team, making cost planning difficult
- Specific pricing tiers not disclosed publicly
- Requires cache size estimation for cost calculation
- Limited to read query caching, does not address write performance
Pricing, plan by plan
FaunaDB
Free- FreeFree
- 100K read ops
- 50K write ops
- 1GB storage
- Pro$25/month
- Pay per use
- Priority support
- Advanced features
Readyset
Free- CommunityFree
- Free tier for evaluation
- 7-day trial available
- Readyset CloudFree
- Fully-managed AWS deployment
- High availability
- VPC peering support
- Readyset PrivateFree
- Self-hosted on your servers
- Complete control
- Custom deployment
Which should you pick?
Choose FaunaDB if
- You need document-relational model.
- You want to start without paying.
- You also want fql v10.
Choose Readyset if
- You need automatic query optimization.
- You want to start without paying.
- You work on Cloud, Self-Hosted.
- You also want sql-level caching.
Questions people ask
- Is FaunaDB or Readyset better?
- Neither clearly leads. FaunaDB starts at Free and Readyset at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, FaunaDB or Readyset?
- FaunaDB starts at Free and Readyset at Free.
- Does FaunaDB or Readyset run on more platforms?
- FaunaDB runs on Web. Readyset runs on Cloud, Self-Hosted.
- Can I use FaunaDB for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is FaunaDB best used for?
- FaunaDB is most often used for keeping an existing fauna-backed application alive on self-hosted infrastructure while a migration is planned and funded, extracting historical data from a fauna dataset that can no longer be reached through the hosted api, studying a production implementation of deterministic distributed transactions, since the full server source is now readable under apache 2.0, forking the engine deliberately, where an organisation has jvm and distributed-systems staff and wants a document-relational store it fully controls. Of those, keeping an existing fauna-backed application alive on self-hosted infrastructure while a migration is planned and funded and extracting historical data from a fauna dataset that can no longer be reached through the hosted api are not what Readyset is typically brought in for.
- What can FaunaDB do that Readyset cannot?
- FaunaDB covers Document-relational model, FQL v10, Distributed ACID transactions, HTTPS access. Readyset covers Automatic Query Optimization, SQL-Level Caching, Live Incremental Updates, Zero-Touch Integration.
Answered from the vendors’ own pages
FaunaDB: Can I still sign up for Fauna as a service?
No. Fauna Inc. wound down the hosted service in 2025 and the company website is no longer serving. The only way to run Fauna now is to build and operate the open-sourced server yourself.
Readyset: Do I need to change my application code?
No, Readyset integrates transparently through query interception with zero code changes or schema modifications required.
SourceFaunaDB: What licence is the open-sourced code under?
Apache 2.0, with the copyright held by a FaunaDB Foundation. That is a permissive OSI licence with no competing-use clause, so you may run it, modify it and even offer it as a service.
Readyset: Is there a free trial?
Yes, Readyset offers a free 7-day trial that lets you test different cache sizes before committing to a paid plan.
SourceFaunaDB: Is the open source version the same software that ran the cloud?
It is the core database engine. The control plane, billing, dashboard and multi-tenant operational tooling that made it a service are not part of the release, so you are running the engine, not the product.
Readyset: How does Readyset pricing work?
Readyset is available as a monthly or annual subscription charged based on the size of cache you need. Contact [email protected] for specific pricing.
SourceFaunaDB: What should I migrate to?
There is no drop-in target. Teams that valued the document model with relationships usually land on Postgres with JSONB, and teams that valued the serverless HTTP access pattern usually land on DynamoDB or a managed Postgres with an HTTP driver. Either way the query layer is rewritten.
FaunaDB: How hard is it to self-host?
It builds as a fat JAR and runs as a multi-node JVM cluster. There is an OPERATING.md, but no supported packaging, no operator, no upstream releases and no support contract, so budget for a distributed-systems engineer, not a container.
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