Kafka performance relies on implementing continuous intelligence and real-time analytics. It is important to be able to ingest, check the data, and make timely business decisions. Stream processing ...

Five key innovations that increased the performance, availability, and cost-efficiency of the engine at the heart of Confluent’s managed Apache Kafka service. When we set out to rebuild the engine at ...

Ensuring that distributed systems like Apache Kafka are resilient is crucial to withstanding disruptions, adapting to changing conditions and maintaining essential functions. Those who implement these ...

The ability to process vast amounts of data efficiently has become a critical factor in staying competitive. As organizations face the challenge of managing high-volume data streams, tools like Apache ...

Hadoop and big data platforms were originally known for scale, not speed. But the arrival of high performance compute engines like Spark and streaming engines have cleared the way for bringing batch ...

Unravel Data, which provides an APM platform designed for big data, has added integrated support for Cloudera Impala and Apache Kafka into its platform. As companies continue to adopt multiple big ...