Streaming Graph Product Page
Streaming Graph is powered by Quine OSS, a graph event stream processor for anomaly detection such as advanced persistent threat detection in cybersecurity.
Microservice Hell: The State of the Art in Streaming Services
Discover how thatDot’s Streaming Graph simplifies data processing, automating scalability and resilience for high-value insights through real-world examples.
4 Advantages to Streaming Analytics in Graph Form
Discover how streaming analytics in graph form revolutionizes data analysis, offering instant insights, deep relationships, and categorical data analysis.
Cypher all the things!
Graph data models offer versatile representation of relationships in data. While traditionally used for static data, they now excel in event-driven scenarios like real-time monitoring and fraud detection.
Release Announcement: for thatDot Streaming Graph 1.6.1 with ClickHouse Persistor
Explore thatDot Streaming Graph v1.6.1 with ClickHouse Persistor, manage namespaces, integrate with Kafka, simplified queries, and error fixes. Upgrade now
A Query’s Journey: From Ad-Hoc to Standing
Query development is an iterative process that is as much about asking questions as it is about finding answers.
Monitoring Quine Streaming Graph using Grafana + InfluxDB
Monitoring tools like Grafana work well with Quine but there are a few things to keep in mind when monitoring data in motion.
Stop Querying Your Data: Ryan Wright at KGC23
Quine streaming graph can process millions of complex, multi-hop graph events per second. But what design decisions and tradeoffs went into making this possible? And why does it matter to data engineers and their day-to-day?
Create a Quine Icon Library with Python
Add some flair to your Quine streaming graph visualizations while learning about the API at the same time.
idFrom(): the simple function that’s key to Quine streaming graph
idFrom() seems like a simple function for generating node IDs but it is the key to Quine’s ability to find complex patterns in high volume event streams.