thatDot

Context-aware anomaly detection. Find truly novel events hidden in massive data streams, instantly and accurately, without manual training or labeled data.

A 12-minute walkthrough of thatDot Novelty analyzing CDN logs for anomalous activity, using a Jupyter notebook.

The depth of graph analytics with the speed and throughput of event stream processing. The industry's only real-time streaming graph engine.

The page describes benefits of streaming analytics in graph form, including real-time insights, relationship analysis, categorical data processing, and reduced mean time to value.

Quine streaming graph detects hard to find password spraying attacks for IAM providers and enterprises alike.

Bringing cloud-based data management into the enterprise data center, where much enterprise data still lives, is now simpler than ever.

Articles on streaming graph, real-time analytics, and anomaly detection from the thatDot team.

thatDot's migration from Akka to Pekko ensured functionality and community support, reduced maintenance burden, avoided extra expenses for SAAS products, and provided access to new libraries and community releases.

thatDot is a remote-first startup with technology.

Compare Quine open source with Quine Enterprise: clustering, high availability, RBAC, supernode mitigation, and professional support.

The company that invented graph event stream processing, creators of Quine open source, and the commercial products powered by it.

Reach out to thatDot with questions or comments.

Quine keeps context-dependent decisions current, relevant, and reliable as a business changes, enabling people and AI agents to act immediately with supporting evidence.

thatDot, Inc.'s privacy policy describes how it collects, uses, and shares personal information.