November 12, 2024
TORONTO—Buf, the world leader in schema-driven development, today announced the official Jepsen report for Bufstream, making it the first verifiably correct, Kafka-compatible message queue built on a modern cloud-native architecture. As enterprises look to improve data quality and slash cloud data costs for conventional Apache Kafka® deployments, Bufstream upgrades Kafka with Advanced Semantic Intelligence™ and reduces costs by 10x.
“Streaming data governance and control are becoming critical to support organizations’ demand for fresh and relevant data,” says Buf CTO, Akshay Shah. “It’s no longer good enough to deliver data fast. Organizations must ensure streaming data meets strict quality and handling requirements by shifting left their data governance and control, moving responsibility further upstream to prevent bad data from landing in the lakehouse and to ensure only the right people have access to sensitive data.”
Jepsen audits distributed data platforms like Bufstream to ensure they meet strict correctness and reliability requirements. The official Jepsen report for Bufstream enables enterprises to confidently adopt Buf’s streaming data platform for production workloads, seeing the results of rigorous testing under a wide variety of typical and extreme scenarios. In addition, Buf partnered with Antithesis to exercise a range of Bufstream’s capabilities using the same deterministic testing methodology used to validate mission-critical distributed databases.
“Consistency and reliability are absolutely necessary for core infrastructure like data streaming,” says Will Wilson, Antithesis CEO. “Bufstream's use of our autonomous testing platform shows their dedication to software quality. Using deterministic simulation testing to mimic extraordinarily demanding production conditions is the most effective means we have of testing distributed systems, and Buf have been committed partners in testing their software.”
Bufstream’s cloud-native approach enables massive cost savings—10x cheaper than Apache Kafka to operate. It scales elastically to meet the demands of any workload and is first in the streaming data industry to support active-active, multi-region Kafka deployments, so enterprises no longer need to worry about clusters or regions. Bufstream enforces data quality and stream governance policies at the broker level. With Bufstream’s Advanced Semantic Intelligence, organizations can go beyond schema validation to enable deeper semantic validation of streaming data directly within the broker. Bufstream stores its data directly as Apache Iceberg™ tables, allowing lakehouse analytics teams to leverage this data faster.
To learn more about how data teams improve data quality, enforce stream governance, and slash cloud costs by 10x with Bufstream, please visit buf.build/product/bufstream. Schedule a demo to see how Bufstream helps overcome the most common Kafka deployment and governance challenges.
Buf accelerates and transforms Kafka and API development and deployment by helping organizations leverage Protobuf-first data governance and schema-driven design. Buf enables data quality and governance policy enforcement for streaming data with the Kafka-compatible Bufstream platform and the Buf Schema Registry, built by the world's Protobuf experts. Some of the world’s most recognized brands rely on Buf to unlock product creation and innovation. To learn more, visit https://buf.build.
Contacts
