Databases · head to head
FaunaDB vs OpenAI API

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

OpenAI API
Machine Learning
Hosted API for OpenAI's language, embedding, image and audio models, billed per token
- From
- $0.15/per-million-tokens
- Free plan
- No
The short version
- FaunaDB has a free plan, then $25/mo; OpenAI API starts at $0.15/mo.
- Only FaunaDB lists document-relational model; only OpenAI API lists text and reasoning models.
- Prices and features on this page were last checked on 13 November 2026.
Where they differ
Only the attributes on which FaunaDB and OpenAI API actually diverge.
| Attribute | FaunaDB | OpenAI API |
|---|---|---|
| Starting price | Free | $0.15/per-million-tokens |
| Pricing model | Freemium | Usage-based |
| Free tier | Yes | No |
| Platforms | Web | API |
| Category | Databases | Machine Learning |
| Founded | 2012 | 2015 |
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 OpenAI API
- Text and reasoning models
- Embeddings
- Speech and audio
- Image generation
- Function calling
- Structured outputs
- Batch processing
- Prompt caching
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 OpenAI API
- Extracting historical data from a Fauna dataset that can no longer be reached through the hosted APInot OpenAI API
- Studying a production implementation of deterministic distributed transactions, since the full server source is now readable under Apache 2.0not OpenAI API
- Forking the engine deliberately, where an organisation has JVM and distributed-systems staff and wants a document-relational store it fully controlsnot OpenAI API
OpenAI API
- Adding summarisation, drafting or classification to an existing product where building a model would take longer than the product's whole roadmapnot FaunaDB
- Retrieval-augmented question answering over internal documents, using the embedding and generation models togethernot FaunaDB
- Extracting structured records from unstructured text, where schema-constrained output removes most of the parsing problemnot FaunaDB
- Prototyping a language feature quickly to find out whether it is worth the cost of a self-hosted alternative laternot 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
OpenAI API
- Cost scales with tokens rather than with seats, so a successful feature's bill grows with its adoption, and an interface that lets users paste long documents has no natural ceiling on spend unless you build one yourself
- Models are deprecated on the vendor's timetable, and a fine-tuned model built on a retired base goes with it, so the tuning work and the data curation behind it must be redone rather than migrated
- Behaviour shifts between model versions in ways no test catches unless you wrote one, so prompts tuned over months against a particular snapshot can regress quietly on migration, which makes an evaluation suite a prerequisite rather than an improvement
- It cannot run inside your own network, so data residency requirements, air-gapped environments and contracts forbidding third-party processing rule it out regardless of the provider's own security posture
- You inherit its availability and its rate limits, so a provider incident is an outage in your product and a traffic spike can be throttled at precisely the moment the feature is proving itself
Pricing, plan by plan
FaunaDB
Free- FreeFree
- 100K read ops
- 50K write ops
- 1GB storage
- Pro$25/mo
- Pay per use
- Priority support
- Advanced features
OpenAI API
$0.15/per-million-tokens- GPT-4o mini$0.15
- Fast
- Affordable
- GPT-4o$5
- Multimodal
- 128K context
Which should you pick?
Choose FaunaDB if
- You need document-relational model.
- You want to start without paying.
- You also want fql v10.
Choose OpenAI API if
- You need text and reasoning models.
- You work on API.
- You also want embeddings.
Questions people ask
- Is FaunaDB or OpenAI API better?
- Neither clearly leads. FaunaDB starts at Free and OpenAI API at $0.15/per-million-tokens, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, FaunaDB or OpenAI API?
- FaunaDB has a free tier; the other does not. Paid plans start at Free for FaunaDB and $0.15/per-million-tokens for OpenAI API.
- Does FaunaDB or OpenAI API run on more platforms?
- FaunaDB runs on Web. OpenAI API runs on API.
- Can I use FaunaDB for free?
- Yes. FaunaDB has a free tier, so you can try it without paying. OpenAI API starts at $0.15/per-million-tokens.
- 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 OpenAI API is typically brought in for.
- What can FaunaDB do that OpenAI API cannot?
- FaunaDB covers Document-relational model, FQL v10, Distributed ACID transactions, HTTPS access. OpenAI API covers Text and reasoning models, Embeddings, Speech and audio, Image generation.
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.
OpenAI API: Is my data used to train the models?
API inputs and outputs are not used for training by default, which differs from the consumer product. Retention periods and enterprise terms change, so read the current data usage policy rather than trusting a summary.
FaunaDB: 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.
OpenAI API: Can I run these models on my own hardware?
No. The weights are not distributed. If self-hosting is a requirement, you are looking at open-weight models instead, with the operational and quality trade-offs that implies.
FaunaDB: 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.
OpenAI API: How is it priced?
Per token, with input and output priced differently and each model priced differently. Batch processing and cached input prefixes reduce it. The practical consequence is that your bill is a function of prompt design, not just of request count.
FaunaDB: 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.
OpenAI API: What is the difference from Azure OpenAI Service?
The same model family delivered by Microsoft under an Azure contract, with Azure identity, networking and regional controls, and a different release cadence for new models. Enterprises with an Azure agreement often choose it for procurement and data residency reasons rather than technical ones.
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.
OpenAI API: How do I keep the cost under control?
Cap input length, cache repeated prefixes, route easy requests to smaller models, use the batch path where latency does not matter, and set per-user limits before launch rather than after the first surprising invoice.
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