Traditional data analytics has been batch oriented, and data analysts write complex SQL queries and create static reports by querying a data warehouse. When data analytics becomes stream-oriented, many new workflows become possible.
Confluent and Imply enable a new interactive, real-time data exploration use case that previously was difficult to serve. An end-to-end streaming architecture featuring the Confluent Platform and Imply provides a foundation for new use cases and analytics workflows with streaming data.
A fully end-to-end streaming analytics stack with exactly-once guarantees
Easy, interactive, ad-hoc data exploration of data in Apache Kafka® topics
New analytic use cases for streaming data through Apache Druid (incubating), a new type of database ideally suited for event-driven data
Imply is a high-performance analytics solution built on Apache Druid (incubating) to store, query, and visualize event-driven data.