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Imply and Confluent: An End-to-End Streaming Analytics Solution
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.
Why Imply and Confluent Platform?
Complete Streaming Analytics Stack
A fully end-to-end streaming analytics stack with exactly-once guarantees
Easy and Interactive Data Exploration
Easy, interactive, ad-hoc data exploration of data in Apache Kafka® topics
New Analytic Use Cases
New analytic use cases for streaming data through Apache Druid (incubating), a new type of database ideally suited for event-driven data
An End-to-End Architecture for Streaming Analytics
Imply is a high-performance analytics solution built on Apache Druid (incubating) to store, query, and visualize event-driven data.