Stream processing and databases are converging.
thatDot is already there.
Event-driven architectures bring the speed and efficiency required for modern software driven businesses. Unfortunately, legacy data engineering tools lack enough agility and flexibility to fully realize the promise of real-time data convergence and analysis.
To unlock the real-time value of streaming data, it needs to be accessible and actionable at scale. Only then are a wide range of use cases possible, including: real-time cyber security threat detection, fraud detection and mitigation, and network & application optimization.
thatDot delivers on the promise of stateful stream processing today. Our products, thatDot Connect and thatDot Anomaly Detector deliver fast, accurate, and scalable event-stream multiplexing and anomaly detection.
Understanding data requires connecting its native graph structure together in real time. But graph tools are complicated and slow. thatDot has invented new technology that sits in between the world of stream-processing and databases. It can connect and store huge amounts of data using your choice of data storage engines—including cloud storage or many on-premise options. That data is connected in a rich and informative graph structure which enables instant resolution of complex query patterns. Each result can be streamed out to other systems or trigger actions using our ever-growing library of integrations.
Built With Years of DARPA-funded Research—and Gratitude
- Ryan Wright, Founder and CEO
thatDot products are built on our patented portfolio of streaming graph technology that simplifies real-time data processing and unlocks instant conclusions from complex data streams.
With Support From
thatDot Connect is the first complete enterprise product designed to trigger real-time actions from complex patterns in high-volume streaming data. Events, logs, and metrics stream in, are automatically connected, and trigger downstream actions for analysis, ETL, and workflow automation.
thatDot Anomaly Detector is the world’s only solution for the real-time analysis of categorical data to differentiate truly novel data from the ordinary. Instantly analyze high cardinality data, eliminating false positives, and providing an explanation why each observation is so novel.