Quine review
Quine turns event streams into connected graphs with standing Cypher queries and broad data connectors.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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.
Quine pros and cons
- 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
Quine fact sheet, pricing and score →
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update