ThatDot accelerates streaming data analytics with open source Quine

Paige Roberts avatar thatDot

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 to reduce the burden on developers of event stream processing data pipelines.

“It can eliminate batch processing, multi-level joins, and other time-consuming and outdated processes that drag down and stall analysis on streaming data. This way, data pipeline engineering teams can easily interpret high-volume event data streams, innovate and ship products faster and use the emerging Graph AI tools driving the next wave in machine learning.”

Read more about how “ThatDot accelerates streaming data analytics with open source Quine” on VentureBeat.

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