DataStax is introducing Astra Streaming, a highly-scalable, multi-cloud messaging and event streaming platform built on Apache Pulsar and integrated with DataStax’s marquee serverless database, Astra DB, to deliver a multi-cloud solution for managing both data in motion and data at rest.
With the debut of Astra Streaming, DataStax is poised to deliver on its vision of an open data stack for today’s multi-cloud applications that require massive scale, zero-downtime availability, and high performance, according to the vendor.
“A key aspect of stream processing is the ability to interact with event logs in a way that feels familiar to anyone who is experienced with database technologies,” said Ed Anuff, DataStax chief product officer. “While existing solutions work up to a point, they generally can’t compete with the scale, performance and reliability that comes from Apache Cassandra™ - the underlying database that powers Astra DB. With Astra Streaming, you can achieve the same usability benefits associated with SQL-like stream processing interfaces with the cross cloud, high-performance persistence capabilities of Astra DB.”
Astra Streaming provides state-of-the-art streaming technology to power some of the most critical use cases including real-time payment processing, personalized customer experiences, fraud detection, and many more.
Astra Streaming includes features such as:
- Global scale, cloud-native streaming, powered by Apache Pulsar without the complexity of self-managed solutions
- Compatible with Apache Kafka and Java Messaging Service
- Multi-cloud
- Simple developer APIs for streaming
- Handles high-volume queuing and pub-sub messaging and more complex messaging patterns
- Pay-as-you-go pricing
For more information about this release, visit www.datastax.com.