Scylla NoSQL database introduces a source connector for Apache Kafka and Gold Certification on Confluent’s data in motion platform
ScyllaDB, makers of the high-performance Scylla NoSQL database, announced deep integration with Apache Kafka® and Confluent. The new Scylla Change Data Capture (CDC) Source Connector complements the previously released Scylla Sink Connector, delivering complete, roundtrip read and write integration with Apache Kafka. The Scylla CDC Source Connector is now available as open source software and has been Gold C******** by Confluent, whose cloud-native data in motion platform enables companies to connect applications around real-time streams.
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Kafka streams have surpassed traditional batch processes to become a core component of event-driven architectures within the enterprise. Based on its support for high-throughput data streams, Kafka continues to be a catalyst for developer agility, accelerating time-to-market and enabling the transition from traditional monolithic to more modern, cloud-native applications.
Based on the Debezium framework, an open-source distributed platform for change data capture (CDC), ScyllaDB’s new source connector is highly scalable and fault-tolerant. Along with high throughput, the new connector also offers seamless schema migrations and topology changes through compatibility with Kafka Connect.
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“The flood of events generated by modern applications is pushing traditional infrastructure beyond its limits,” said Tzach Livyatan, VP of Products at ScyllaDB. “Companies need a storage layer that can keep pace with the volume and velocity of event streams, in particular those supported by Kafka. Scylla is a natural fit for these requirements. Our fully asynchronous, cloud-native architecture is uniquely suited to the demands of modern event streaming data architectures.”
Upcoming Webinar: June 17
On June 17 at 10 AM Pacific, representatives from ScyllaDB, Confluent and adtech pioneer Numberly will present a webinar on “Building Event Streaming Architectures on Scylla and Confluent with Kafka,” including a discussion of the new connector.
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