Articles on streaming graph, real-time analytics, and anomaly detection from the thatDot team.
A crafted SAML login request can take a Citrix NetScaler appliance offline, and attackers are triggering it on a loop in the wild. We built a Quine recipe that reconstructs the attack as a graph and detects it with chained standing queries as the events arrive, without depending on a payload signature.
Quine 2.1.0 brings the biggest leap yet for the visual Quine experience: a live flow diagram of your running instance, a new Streams page, floating query result cards, and live standing-query inspections.
A free, browser-based tool that reads your Quine recipe, shows the graph it will build, and flags the issues worth fixing before you run it at scale.
We are thrilled to announce the release of Quine 2.0! With major updates to key enterprise integrations, A.I. capabilities, and UI/UX enhancements, Quine continues to push beyon...
It's been said that graphs are everywhere. Graph-based data models provide a flexible and intuitive way to represent complex relationships and interconnectedness in data. They a...
After more than 25 years in the data management and analysis industry, I had a brand new experience. I attended a technical conference. No, that wasn’t the new thing. At many co...
Uses for individual data engineering technologies are often broadened to more than just interacting with databases. The same goes for graph database techniques and, specifically, the leading language for building and querying graph databases - Cypher.
Briefing Room on demand webinar on thatDot Youtube channel: The Unreasonable Effectiveness of Streaming Graph
Exploring the challenges of data processing in microservices, the article introduces thatDot's Streaming Graph, which seamlessly integrates various data sources like Apache Kafka, AWS Kinesis, and more.
Explore the transformative benefits of streaming analytics in graph form, including real-time insights, deep relationship analysis, immediate categorical data processing, and drastically reduced mean time to value (MTTV).
Standards-based threat detection & automated response using Quine streaming graph.
Monitoring tools like Grafana work well with Quine but there are a few things to keep in mind when monitoring data in motion.