SANTA CLARA, Calif. — June 15, 2021 — DataStax today announced Astra Streaming, a highly-scalable, multi-cloud messaging and event streaming platform built on Apache Pulsar™. Astra Streaming is 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 introduction 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.
“As users of Apache Pulsar, it is exciting to see DataStax contribute to the Pulsar community and make it easily accessible on a massive scale for companies like ours,” said George Trujillo, vice president of data engineering at Overstock. “DataStax is a trusted partner of Overstock who is advancing the global adoption of Apache Pulsar, enabling our developers to build modern data apps faster with infinite scalability.”
Ed Anuff, DataStax chief product officer, added: “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. 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. According to a recent GigaOm report, Pulsar performed better than Kafka and showed an 81 percent savings in costs over a three-year period.
“Our research proves that Apache Pulsar has advantages over Kafka in terms of both price and performance,” said William McKnight, analyst at GigaOm. “We see Pulsar becoming an increasingly popular choice for streaming applications, and we're thrilled to see DataStax contribute to its evolution and integrate it with Astra DB."
Astra Streaming Features:
- Global scale, cloud-native streaming, powered by Apache Pulsar without the complexity of self-managed solutions
- Compatible with Apache Kafka and Java Messaging Service
- Simple developer APIs for streaming
- Handles high-volume queuing and pub-sub messaging and more complex messaging patterns
- Pay-as-you-go pricing
Astra Streaming is available today in a beta version. To get started with Astra Streaming, create a free account.
Click-to-Tweet: Hello @DataStax Astra Streaming! A massively scalable, highly performant #eventstreaming & cloud #messaging platform that addresses the data in motion requirements for modern data apps. Improve cost, complexity & developer velocity! https://dtsx.io/3iFUGC0 #ApachePulsar
- Astra DB: Multi-cloud DBaaS built on Apache Cassandra
- Astra Streaming: Streaming-as-a-Service powered by Apache Pulsar
- GigaOm Report: The Cost Savings of Replacing Kafka with Pulsar
- Blog: Full Stream Ahead: Astra Streaming, Powered by Apache Pulsar, is Here!
- Webinar: How Apache Pulsar Helps Overstock Win in Ecommerce
DataStax delivers an open, multi-cloud data stack built on Apache Cassandra™, the world’s most scalable database and Apache Pulsar. The company’s marquee offering is Astra DB, the industry’s first and only open, multi-cloud serverless database. Built on a modern, Kubernetes-based architecture, Astra delivers Cassandra-as-a-Service with an unprecedented combination of pay-as-you-go data, simplified operations, and the freedom of multi-cloud and open source. With DataStax, any developer or enterprise can now deploy data at massive scale, with 100% uptime, for lower cost. Today, nearly 500 of the world’s most demanding enterprises and half of the Fortune 100 rely on DataStax to power modern data apps, including The Home Depot, T-Mobile, and Intuit.
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