thatDot

thatDot is a growing company that specializes in solving high-throughput data streaming problems (entity resolution, streaming joins, ingest pipelines, incremental computation, pattern matching, etc.) using graphs. Some of the typical challenges we deal with include:

• Designing and maintaining protocols in distributed systems
• Implementing new features in our querying engines and actor-based graph interpreter
• Creating high-throughput back-pressured streaming pipelines
• Ensuring horizontal and vertical scalability

Quine, our core technology, is a streaming graph that combines key operational features of event stream processing systems like Flink with the graph data structure of databases like Neo4J or Tigergraph. Quine makes it easy to find complex patterns and anomalies in massive data streams and trigger action immediately. Built on native streaming graph technology as the result of 7+ years of DARPA-funded R&D, this hot new technology makes it easy for infinite datasets to be efficiently analyzed in real-time. Ideal use cases for Quine include financial and identity fraud detection, XDR/EDR solutions, network observability/root cause analysis, and e-commerce.