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Optimize Search and Analytics with Real-Time Data Streaming
Elastic and Confluent provide their customers a better overall experience building contextual data driven applications leveraging a modern document-based distributed database. Confluent provides distributed, scalable, and secure data delivery that can scale to handle trillions of events a day with Confluent Platform and Confluent Cloud. Elastic offers secure and flexible data storage, aggregation and search & real-time analytics platform — that can be deployed either on premise or Elastic Cloud.
Why Confluent with Elastic?
Ingest, Aggregate & Store Sensor Data
Integrate security event and sensor data into a single distributed, scalable, and persistent platform
Transform, Process & Analyze
Blend varied data streams using Kafka Streams or KSQL for richer threat detection, investigation, and real-time analysis
Share Data to Any Source
Send aggregated data to any connected source, including SIEM indexes, search, & custom apps
Enable New Anomaly Detection Capabilities
Unlock insights in SIEM data by running new machine learning and artificial intelligence models
Confluent and Elastic Integration
The Elasticsearch sink connector helps you integrate Apache Kafka® and Elasticsearch with minimum effort. You can take data you’ve stored in Kafka and stream it into Elasticsearch to then be used for log analysis, security analytics, or full-text search. Alternatively, you can perform real-time analytics on this data or use it with other applications like Kibana.