Stream Processing

Imply provides a complete platform for Apache Druid, enabling high-performance, real-time analytics at scale.

Ververica provides stream processing solutions based on Apache Flink, designed for mission-critical real-time applications.

Redpanda is a Kafka-compatible streaming data platform that offers high performance, lower latency, and simpler operations.

Rockset is a real-time analytics database built for the cloud, offering ingesting data from streams, querying with SQL, and serving high-concurrency applications.

Tinybird is a real-time data platform that helps developers build data products and APIs using SQL.

StreamNative provides a cloud-native messaging and streaming platform powered by Apache Pulsar, offering a unified event streaming experience.

Materialize is a streaming database that allows developers to build real-time applications using standard SQL.

Estuary Flow is a DataOps platform for real-time data integration and transformation, providing a unified view of stream and batch processing.

Decodable is a real-time data streaming platform that helps engineering teams build and manage stream processing pipelines using Flink SQL.

Quix is a data development platform for real-time streaming data, designed for engineers building event-driven applications.

RisingWave is a cloud-native streaming database that unifies batch and stream processing with a PostgreSQL-compatible interface.

ksqlDB is a streaming database built on Kafka, enabling developers to build event streaming applications using a familiar SQL interface.