Kafka to Elasticsearch in minutes
Apache Kafka is a popular open-sourced event-streaming platform.
It’s focused on allowing enterprises to use real-time data as the backbone of their operations. Kafka provides an event-based backbone for many Fortune 500 companies.
Elasticsearch is a distributed, free data analytics engine known for its speed and scalability. It’s the central component of the Elastic Stack, and is accessible through simple REST APIs.
Estuary helps move data from
Kafka to Elasticsearch in minutes with millisecond latency.
Estuary builds free, open-source connectors to extract data from Kafka in real-time, allowing you to offload data to various systems for both analytical and operational purposes. Kafka data exists in a stream and often benefits from being organized into a data lake or placed into a warehouse for analysis with history.
Data can then be directed to Elasticsearch using materializations that are also open-source, streaming to your Elasticsearch cluster with millisecond latency.