Databases · head to head
FaunaDB vs Qdrant

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

Qdrant
Databases
High-performance vector database for similarity search and embedding-based retrieval
- 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.; Qdrant free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which FaunaDB and Qdrant actually diverge.
Identical on both: starting price (Free), pricing model (freemium), 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 Qdrant
Nothing recorded that FaunaDB does not also cover.
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 Qdrant
- Extracting historical data from a Fauna dataset that can no longer be reached through the hosted APInot Qdrant
- Studying a production implementation of deterministic distributed transactions, since the full server source is now readable under Apache 2.0not Qdrant
- Forking the engine deliberately, where an organisation has JVM and distributed-systems staff and wants a document-relational store it fully controlsnot Qdrant
Qdrant
- Retrieval-augmented generation (RAG) backends for LLM applicationsnot FaunaDB
- Semantic search across large document corporanot FaunaDB
- Multimodal retrieval (text, images, video) for recommendation systemsnot FaunaDB
- Similarity-based product or content recommendationsnot FaunaDB
- Real-time vector indexing for streaming embedding datanot 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.
Qdrant
- Free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments
- Standard and Premium pricing usage-based; specific costs not published; requires calculator or quote
- Requires understanding of embeddings and vector search concepts; not suitable for SQL-only teams
- Early-stage serverless offering (coming soon) suggests maturity gaps in that deployment model
Pricing, plan by plan
FaunaDB
Free- FreeFree
- 100K read ops
- 50K write ops
- 1GB storage
- Pro$25/month
- Pay per use
- Priority support
- Advanced features
Qdrant
Free- FreeFree
- Single-node cluster
- 0.5 vCPU
- 1GB RAM
- Standard$undefined/usage-based
- Dedicated resources
- Flexible scaling
- High availability
- Premium$undefined/minimum spend
- SSO and SAML
- Private VPC links
- 99.9% uptime SLA
Which should you pick?
Choose FaunaDB if
- You need document-relational model.
- You want to start without paying.
- You also want fql v10.
Choose Qdrant if
- You want to start without paying.
- You work on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming).
Questions people ask
- Is FaunaDB or Qdrant better?
- Neither clearly leads. FaunaDB starts at Free and Qdrant at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, FaunaDB or Qdrant?
- FaunaDB starts at Free and Qdrant at Free.
- Does FaunaDB or Qdrant run on more platforms?
- FaunaDB runs on Web. Qdrant runs on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming).
- 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 Qdrant is typically brought in for.
- What can FaunaDB do that Qdrant cannot?
- FaunaDB covers Document-relational model, FQL v10, Distributed ACID transactions, HTTPS access.
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.
Qdrant: Can I use Qdrant for free?
Yes, Qdrant offers a free tier that provides a single node cluster with 0.5 vCPU, 1GB RAM, and 4GB disk space. It includes free cloud inference with selected models and is described as free forever for testing and prototypes.
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.
Qdrant: How is Qdrant Cloud billing calculated?
Billing is calculated based on actual resource usage during each billing period. You are charged hourly for compute (vCPU), memory (GB), storage (GB), backups, and any paid inference tokens used.
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.
Qdrant: What happens if I scale beyond the free tier?
The Standard Tier uses the same usage-based billing model as the free tier but adds features like dedicated resources with flexible scaling, highly available setups with backup and disaster recovery, and a 99.5% uptime SLA.
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.
Qdrant: What SLA does Qdrant offer?
The Standard Tier provides 99.5% uptime SLA. The Premium Tier, which requires a minimum spend for enterprises, offers 99.9% uptime SLA along with single sign-on and private VPC links.
SourceFaunaDB: 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.
Qdrant: Are there dedicated cloud infrastructure options?
Yes, Qdrant offers Hybrid Cloud (runs on your infrastructure) and Private Cloud (complete isolation) options, both with custom pricing that requires contacting the sales team.
SourceRelated pages
Other head to heads
- FaunaDB vs Amazon Aurora
- FaunaDB vs PostgreSQL
- FaunaDB vs Airtable
- FaunaDB vs Cockroach Labs
- FaunaDB vs BigQuery
- FaunaDB vs CouchDB
- FaunaDB vs CosmosDB
- FaunaDB vs ArangoDB
- FaunaDB vs Dgraph
- FaunaDB vs DynamoDB
- FaunaDB vs Google Cloud SQL
- FaunaDB vs Apache Pinot
- FaunaDB vs Amazon RDS
- FaunaDB vs Apache Pulsar
- FaunaDB vs Cassandra
- FaunaDB vs Amazon Redshift
- FaunaDB vs Zilliz
- FaunaDB vs Chroma
- FaunaDB vs Vespa
- FaunaDB vs YugabyteDB
- FaunaDB vs NATS
- FaunaDB vs QuestDB
- FaunaDB vs Elasticsearch
- FaunaDB vs Apache Druid
- FaunaDB vs Grist
- FaunaDB vs IBM Db2
- FaunaDB vs Instaclustr
- FaunaDB vs Knack
- FaunaDB vs LanceDB
- FaunaDB vs Marqo
- Qdrant vs Amazon Aurora
- Qdrant vs PostgreSQL
- Qdrant vs Airtable
- Qdrant vs Cockroach Labs
- Qdrant vs BigQuery
- Qdrant vs CouchDB
- Qdrant vs CosmosDB
- Qdrant vs ArangoDB
- Qdrant vs Dgraph
- Qdrant vs DynamoDB
- Qdrant vs Google Cloud SQL
- Qdrant vs Apache Pinot
- Qdrant vs Amazon RDS
- Qdrant vs Apache Pulsar
- Qdrant vs Cassandra
- Qdrant vs Amazon Redshift
- Qdrant vs Zilliz
- Qdrant vs Chroma
- Qdrant vs Vespa
- Qdrant vs YugabyteDB
- Qdrant vs NATS
- Qdrant vs QuestDB
- Qdrant vs Elasticsearch
- Qdrant vs Apache Druid
- Qdrant vs Grist
- Qdrant vs IBM Db2
- Qdrant vs Instaclustr
- Qdrant vs Knack
- Qdrant vs LanceDB
- Qdrant vs Marqo
