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Quine

Free#23 of 39 in Graph Databases

Quine: Quine turns event streams into connected graphs with standing Cypher queries and broad data connectors. Ranked #23 of 39 in Graph Databases by our editors (6.6/10); pricing: Open source; best for event-stream-to-graph pipelines.

6.6/10Editor score

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At a glance

Editor score
6.6 / 10
Pricing
Open source
Best for
Event-stream-to-graph pipelines
Paid from
Free
Deployment
Self_hosted
Facts checked
22 Sep 2026

Where it wins
- Combines Kafka, Kinesis, files, APIs, and databases into connected graphs
- Runs Cypher standing queries for incremental pattern matching
- Streams results to Kafka, Kinesis, webhooks, files, and other destinations
Where it doesn't
- Enterprise licensing requires contacting thatDot sales
- Its focus is streaming graph interpretation rather than conventional graph databases
- Clustered, failover, and Kubernetes Helm capabilities are Enterprise features

Our verdict on Quine

Quine is an open-source, stateful streaming graph interpreter for developers building event-driven data pipelines. It combines multiple event streams into durable, versioned, connected graph data, then evaluates graph patterns with Cypher standing queries. Sources include Kafka, Kinesis, files, APIs, and databases, while deployment options include local execution, containers, source installation, self-hosting, and a thatDot-hosted Enterprise deployment. The product is aimed at teams that need to turn continuously arriving events into connected data and downstream signals.

Its strongest fit is the event-to-graph pipeline. Quine can ingest from Apache Kafka, Amazon Kinesis, AWS SQS, AWS SNS, files, REST APIs, webhooks, Cassandra, and RocksDB. Standing queries support incremental pattern matching, and query results can flow to Kafka, Kinesis, webhooks, files, and other destinations. A REST API, interactive graph Exploration UI, Random Walk, and clustering options extend the product beyond ingestion and query execution. Cypher and Gremlin are listed as supported query languages.

The open-source model makes Quine accessible for local, containerized, and self-hosted deployments. Enterprise adds clustering, failover, and Kubernetes Helm deployment for clustered, high-volume workloads. That division matters for teams planning production scale or operational redundancy. Quine should appeal to developers building streaming detection, relationship analysis, and connected-data pipelines. Teams seeking a conventional graph database centered on transactional workloads should compare its streaming-interpreter focus with alternatives designed around those requirements.

Your product? Our editors can test Quine in depth and publish a review, labelled as paid · from $149/mo →

Quine pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.

See plans on quine.io

Quine fact sheet

Free plan	Not verified
Paid from	Free
Deployment	Self_hosted
Query languages	Cypher, Gremlin
ACID transactions	Not verified
Graph algorithms	Yes
Vector search	Not verified
Included storage	Not verified
Deployment	Self-hosted
Platforms	Web
Support	Community, Docs, Email
Built for	Mid-market, Enterprise (editorial estimate)
Integrations	8 integrations: Apache Kafka, AWS Kinesis, AWS SQS, AWS SNS, files, APIs …
Pricing	Open source
Website	quine.io
Facts checked	22 Sep 2026

Quine integrations

Quine lists 8 integrations on its own site.

Apache Kafka
AWS Kinesis
AWS SQS
AWS SNS
files
APIs
databases
data warehouses

Alternatives to Quine

See all Quine alternatives →

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Featured on iTechGuides

Quine is listed in our Graph Databases directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update