Quine vs Quine Enterprise

Both versions can handle an infinite stream of data and build a graph with any number of nodes and edges, limited only by the storage capacity. Gone are the days of trying to keep your node-counts low: you can analyze the complete history of your data, no matter how large, without needing to downsample or archive.

All changes to nodes and edges are timestamped and saved, allowing for queries against the graph’s state at any point in the past. This allows for powerful “as-of” analysis, letting you “travel back in time” to audit changes or replay event sequences exactly as they occurred.

Hit the ground running by leveraging a widely-adopted, expressive language, making it easier for your team to build and maintain complex data pipelines. Users interact with the graph using the declarative Cypher query language for ingest, analysis, and standing queries.

Deploy Quine anywhere, from a local development machine to a large-scale, production cluster, without changing your application logic. Quine supports various storage backends like RocksDB and Cassandra to durably store graph data. Enterprise customers have access to additional storage options like Clickhouse, and can also take advantage of expert consultation for custom implementations.

Trigger downstream workflows, alerting your team, or feeding other real-time systems with high-value, processed events. Standing query results can be sent to multiple downstream destinations, including streaming pipelines (Kafka, Kinesis, etc), static collections (output to files), interactive webhooks, and even human notifications (Slack Integration). This ensures Quine fits seamlessly into your existing architecture.

Extend Quine’s Cypher engine with custom logic written in any JVM-compatible language like Java or Scala. This empowers you to embed complex, proprietary business logic or specialized algorithms directly into your queries, tackling unique challenges that go beyond standard Cypher.

Host multiple, isolated graphs within a single cluster to support safe multi-tenancy or sandbox different use cases. This enables you to serve multiple teams or use cases on the same hardware footprint.

Supernodes are the Achilles heel of every graph system. If you work with real-world data, you will definitely have supernodes. While this has been a deal-breaking for all other graph systems, Quine Enterprise includes revolutionary new technology that solves a critical bottleneck that paralyzes traditional graph systems, allowing you to work with billions of edges per node.

Built-in integration with enterprise monitoring tools including Prometheus metrics export and pre-configured Grafana dashboards. Quine enables you to set up Grafana backed by InfluxDB to monitor Quine instances, and exposes JVM and application metrics via Prometheus JMX exporter with Kubernetes service discovery annotations. Use the included Grafana dashboards for monitoring ingest rates, node/edge counts, persistor latency, cluster health, and memory usage.

Run as a multi-member cluster to scale horizontally, increasing processing throughput and capacity. With Quine Enterprise you can handle massive ingest volumes and query loads by simply adding more machines, ensuring your system grows with your data.

Deploy standby cluster members (hot spares) that automatically take over for failed nodes to minimize downtime, and automatically detect failed members and network partitions to maintain operational stability. Automated cluster management in Quine Enterprise ensures no data is lost even if cluster members die unexpectedly. This provides high availability for mission-critical applications, keeping your data pipelines running 24/7.

Deploy and manage Quine clusters in Kubernetes environments using production-ready Helm charts. Includes rolling upgrades/downgrades, resource management, and integration with Cassandra-compatible databases. Helm charts provide declarative configuration management, making it easy to deploy consistent environments across development, staging, and production Kubernetes clusters.

Connect to your enterprise directory service to provide fine-grained access control. Integrate with standard identity providers (like Okta, Microsoft, KeyCloak, AWS Cognito, and more) for secure user authentication. This allows you to enforce the principle of least privilege, ensuring users and applications only have access to the data they need.

Provides a tamper-evident API endpoint to get a digest of ingest usage for auditing convenience.

Users can ask questions and get help from a helpful and supportive community that includes thatDot developers on the public Discord server.

Receive professional support from the thatDot team. Ensure that when critical production issues arise, you have an expert on hand to resolve them quickly.

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Gain access to thatDot’s experts for guidance on data modeling, query optimization, and complex use cases. Accelerate your time-to-value and build more robust solutions by leveraging the deep expertise of the engineers who create the product.