ThatDot accelerates streaming data analytics with open source Quine

by | Jun 17, 2024

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“It can eliminate batch processing, multi-level joins, and other time-consuming and outdated processes that drag down and stall analysis on streaming data.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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Akka to Pekko Migration for thatDot and Quine

Akka to Pekko Migration for thatDot and Quine

Discover how thatDot’s migration to Pekko from Akka not only ensured functionality and community support but also reduced maintenance burden, avoided extra expenses for SAAS products, and provided access to new libraries and community releases.

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