“Enterprise data engineering teams are confined to the limitations and tradeoffs of the previous generation of event processing frameworks like Flink. They spend enormous time and effort building complicated event-driven architectures that only work on small time-windows of in-memory data and miss out on the bigger picture,” said Ryan Wright, the creator of Quine and founder/CEO of thatDot. “Quine can transform months of tedious data engineering into an afternoon’s work enabling data pipeline engineers to easily interpret high-volume event data streams, innovate and ship products faster, and to use the emerging Graph AI tools driving the next wave in machine learning.”
On the editorial for DBTA Magazine, Stephanie Simone discusses the debut of Quine open source graph complex event stream processing software. She talks about how it combines graph data with a streaming data processing technologies in a developer-friendly way.
Read more about “thatDot Launches Streaming Graph Platform” on the online DBTA magazine.
