StreamNative, the cloud-native messaging and event streaming company powered by Apache Pulsar, is announcing the general availability of Kafka on StreamNative on the ONE StreamNative Platform—an agnostic data streaming platform. The addition of the Kafka protocol will empower users to run Kafka workloads on the StreamNative Platform with greater scalability, lower costs, and management ease, according to the company.
The ONE StreamNative Platform simplifies complex data streaming by centralizing multiple streaming and messaging protocols from a single platform, according to the company. Its vendor-agnostic nature allows enterprises to select the data streaming technology that best serves them.
The introduction of Kafka on StreamNative acknowledges the various difficulties associated with deploying and maintaining Kafka workloads, including high migration costs, increased downtime, and more. Now, StreamNative Platform users can run their Kafka workloads with greater ease through a simplified architecture.
“Kafka protocol has been the ubiquitous standard in the streaming market. However, it was not architected to run at scale in a cost-effective manner since it misses key features such as multi-tenancy and two-tiered architecture that separates compute and storage,” said Sijie Guo, co-founder and CEO at StreamNative. “We added Kafka protocol on our platform so that Kafka users can run the same streaming workloads without migrating or rewriting their application code. In the past, Apache Pulsar has been considered an alternative to Kafka but with Kafka on StreamNative, Apache Pulsar can complement Kafka, allowing users to run the same Kafka workload more efficiently. This latest addition is yet another prime example of the versatile and valuable environment Apache Pulsar provides.”
Kafka on StreamNative delivers the following benefits:
- Run the same Kafka workloads for event or batch stream processing at scale
- No limitations on the usage of including multi-tenancy, geo-replication, and tiered storage
- Support for large number of topics
- Users can still leverage Kafka’s APIs, wire protocols, and connectors
- Run Kafka workloads more efficiently on Apache Pulsar
- Lower TCO by consolidating Kafka clusters
To learn more about Kafka on StreamNative, please visit https://streamnative.io/.