Kafka enables the building of streaming data pipelines from “source” to “sink” through the Kafka Connect API and the Kafka Streams API Logs unify batch and stream processing.

In this manner, Lambda satisfied the data processing needs for a certain class of applications that valued high-throughput, low-latency, fault-tolerance, and data accuracy. Many organizations—in ...

In his recent project dealing with high-volume data, he demonstrated the practical impact of his strategies by optimizing batch processing and fine-tuning Kafka consumers and producers.

Apache Kafka and Kafka Streams frameworks help with developing stream-centric architectures and distributed stream processing applications. Jay Kreps, CEO of Confluent, gave the keynote ...

Kafka Streams is a Java library of distributed stream processing applications built on Apache Kafka. Jay Kreps, Confluent’s CEO and co-founder, said Kafka Streams addresses “event-at-a-time,” stateful ...

As AI shifts from experimental phases to mission-critical roles—such as fraud detection, live recommendation engines, and ...

Kafka has a nearly 39% market share in the fragmented queueing, messaging and background processing market, according to 6sense Insights Inc. It’s used by more than 80% of Fortune 100 companies.

On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data New private networking and security ...