Can Streaming Graphs Clean Up the Data Pipeline Mess?
In this article on Datanami, Alex Woodie discusses the problems with current event stream processing data pipelines, and the advantages a graph paradigm could bring to the table,…
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Quine Aims to Simplify Event Processing on Data in Motion
On InfoQ, Sergio De Simone talks about the advantages of the streaming graph style of data processing, and of Quine open source software in particular. “What sets…
thatDot Launches Streaming Graph Platform
“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…
ThatDot accelerates streaming data analytics with open source Quine
On VentureBeat, Shubham Sharma writes about thatDot’s announcement of open source software Quine for streaming graph complex event processing. He discusses, among other things, the power of Quine…
thatDot launches Quine, a streaming graph engine
On TechCrunch.com, Frederic Lardinois talks about the launch of Quine open source streaming graph complex event processing engine. “We’ve developed the streaming graph to really target the…
Quine Streaming Graph: A Year in Open Source
thatDot's iteratively improving the developer experience: who is Streaming Graph built for, what jobs do they tell us they need to get done.
Quine 1.4.0: Scale, Stability, Supernode Mitigation
Quine 1.4.0 release includes improvements for scalability, stability, and supernode mitigation plus work key to reaching 1M events/sec.
See Quine in Action: 3 Live Demos Showing Graph ETL Use Cases
Watch Quine in action. Learn about graph ETL uses cases from three recent live demos.