I feel like the idea of Kafka as a database or data lake is doomed to a similar fate. Teams that rush into Kafka implementations without first understanding Kafka resource utilization often ...

The goal is to help funnel Kafka data into and out of the Neo4j database, which uses graph database techniques to efficiently analyze data in ways that would be too expensive in a traditional ...

Developers are still working to understand how Kafka can be integrated into their ... streaming data future. For some, that future is now. For others, these startups hope to get them there sooner.

That technology, of course, is Apache Kafka, which started out as a big data messaging bus but is transforming into a full platform for real-time stream processing of data. In 2016, Pandora adopted ...

Hazelcast experts available at the booth will explain how to: integrate transactional, operational, and historical data into Kafka applications simplify and optimize real-time stream processing ...

Kafka was initially best known as a streaming service to pipe data into systems such as Hadoop, but it is gradually becoming a platform in its own right. In fact, the KSQL streaming database is the ...

That’s where Quest SharePlex comes in. In this tech brief, we discuss how organizations can use Quest SharePlex to efficiently replicate data from Oracle databases into Kafka for real-time streaming.