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Beyond Kafka: Conversation with Jark Wu on Fluss - Streaming Storage for Real-Time Analytics

Data Engineering Weekly

Kafka is designed for streaming events, but Fluss is designed for streaming analytics. Architecture Difference The first difference is the Data Model. Tableflow is a Lambda Architecture that uses two separate systems (streaming and batch), leading to challenges like data inconsistency, dual storage costs, and complex governance.

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An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Podcast

Can you describe what is driving the adoption of real-time analytics? Can you describe what is driving the adoption of real-time analytics? Contact Info LinkedIn @shrutibhat on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?