Today, I am delighted to announce an expanded partnership with Elastic. Together, we’re enabling our joint customers to set data in motion, and through that, deliver optimized search, real-time analytics, and data-driven applications that rely upon these capabilities.
Confluent and Elastic are excited to work together to make it easier than ever to integrate Apache Kafka® and Elasticsearch. This gives organizations the ability to seamlessly stream data moving through Kafka into Elasticsearch, opening up log analysis, full-text search, and more.
We’ve done this by building a fully managed Elasticsearch Service Sink Connector in Confluent Cloud. This connector eliminates the need to manage your own Kafka Connect cluster, reducing the operational burden of connecting Elasticsearch to the Kafka ecosystem. This capability is available across all major cloud providers, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud.
A common example where our partnership and easy connectivity enables a new generation of use cases is the augmentation of traditional SIEM systems. We’ve helped multiple customers protect their environments from constantly evolving threats with the flexibility, scalability, interoperability, and data portability that preemptive threat mitigation requires—and we do it all in real time.
This approach includes the ability to:
However, our partnership goes well beyond the ability to implement a SIEM use case. The real-time capabilities that we deliver are helping companies tackle use cases as varied as:
We look forward to continuing to work with Elastic to deliver new capabilities that make processing, visualizing, and searching data streams even easier. As organizations around the world adapt to an increasingly real-time, event-driven world, Confluent—along with our broad ecosystem of partners—is ready to help them put their data in motion.
To learn more about our partnership, check out Elastic’s announcement.
Jay Kreps is the CEO of Confluent as well as one of the original co-creators of Apache Kafka. He was previously a senior architect at LinkedIn.