Apache Kafka is a distributed event streaming platform capable of handling high-throughput, low-latency data streams. It is widely used for building real-time data pipelines and streaming applications.
Streaming data refers to data that is continuously generated by various sources such as log files, social media activity, sensors, or transactional databases. This data is processed in real time or near real time to enable timely insights and actions.
Migrating to our managed Kafka service is straightforward. We provide detailed migration guides and tools to help you transfer your existing Kafka clusters and configurations with minimal downtime.
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Apache Kafka excels in large-scale real-time data streaming, offering capabilities such as high throughput, low latency, fault tolerance, and scalability. It supports event streaming, data integration, and real-time analytics.
Our managed Kafka service supports the latest stable release of Apache Kafka 3.7, 3.6, and 3.5, as well as several previous versions. You can find the full list of supported versions in our documentation.
Our managed Kafka service offers high throughput, low latency, easy scaling, and built-in monitoring and alerting. It also includes features such as seamless upgrades, security enhancements, and 24/7 support.
Typical use cases for Kafka include processing and analyzing streaming data in real time, such as monitoring financial transactions for fraud detection or collecting and analyzing log data from various sources for immediate insights.
Security is a top priority. Our managed Kafka service includes encryption at rest and in transit, fine-grained access control through Kafka ACL or SASL/SCRAM or mTLS-based authentication mechanisms, and integration with existing security protocols and tools. We also perform regular security audits and updates.
Multibroker architecture delivers 99.9% availability. The service self-heals by replacing failed brokers automatically, ensuring maximum availability.
OCI Streaming with Kafka pricing is based on the underlying infrastructure cost using OCI, plus a simple, unique fee SKU based on compute usage.