thatDot Connect

Turn High-Volume Data into High-Value Data

thatDot Connect is a streaming data platform that makes it easy to find complex patterns in massive data streams and trigger action immediately. Built on native streaming graph technology, endless datasets are efficiently analyzed and matched in real-time to extract relevant results. thatDot Connect powers use cases such as data lineage, drug discovery, fraud detection, infrastructure optimization and application security tracing, reporting, and alerting.
Real Time Streaming ETL

Connect the Dots

thatDot Connect uses a powerful graph data model under the hood to surface new value from data connections.

Compute In The Data

We’ve unified the data model and the computation model to achieve wild efficiency and power.

Data Lineage

Fully Asynchronous

All components in thatDot Connect communicate via message queues providing highly efficient, parallel, non-blocking execution..

Standing Queries

Semantic Caching

Graph relationship modeling ensures commonly associated data remains in cache, maximizing performance.

Streaming Threshold Analysis

Time Lord Powers

Query for data at any point in time, thatDot Connect tracks the complete change history to quickly answer questions without data replay.

Real Time Scale

Real-Time At Scale

Foundational new capabilities for distributed data ingest, computation, and analysis thanks to years of DARPA-supported R&D.

Usability

GUI based filtering and exploration of detailed information that a generalist can use, and APIs for integration into your dashboards and tools of choice.

thatDot Connect: A Powerful New Way To Implement An Event Driven Software Architecture

An Engine For Event Driven Software

thatDot Connect combines a massively scalable distributed data ingest platform with a revolutionary temporal graph interpreter to empower your application back end. With thatDot Connect you bridge the gap between highly scalable stream processing platforms like Kafka and Kinesis, and the compute and analysis savvy of databases.

Learn more on our Technology Overview page.