Message Queue for Apache Kafka is a distributed message queue service provided by Alibaba Cloud. This service features high throughput and scalability. Message Queue for Apache Kafka is widely used in big data fields such as log collection, monitoring data aggregation, streaming data processing, and online and offline analytics. It has become an indispensable part of the big data ecosystem.

Access from a VPC

In addition to access over the Internet, Message Queue for Apache Kafka allows access from a virtual private cloud (VPC). If you select VPC as the network type, you can configure the CIDR block, route table, and gateway of your VPC. In your VPC, you can also use Alibaba Cloud resources, such as Elastic Compute Service (ECS), ApsaraDB RDS, and Server Load Balancer (SLB) instances.

Benefits

Message Queue for Apache Kafka provides fully managed services for open source Apache Kafka, solving long-term shortcomings of open source Apache Kafka. Message Queue for Apache Kafka frees you from deployment and O&M. You can focus only on business development. Compared with open source Apache Kafka, Message Queue for Apache Kafka features lower costs, stronger scalability, and higher reliability.

Application ecosystem

Message Queue for Apache Kafka has a rich application ecosystem that covers the following fields:

  • Big data: Message Queue for Apache Kafka is widely used in fields such as website behavior analytics, log aggregation, application monitoring, streaming data processing, and online and offline data analytics.
  • Data integration: Message Queue for Apache Kafka allows you to import messages to offline data warehouses such as MaxCompute, Object Storage Service (OSS), ApsaraDB RDS, Hadoop, and HBase.
  • Stream computing integration: Message Queue for Apache Kafka integrates stream computing engines such as Realtime Compute, E-MapReduce, Spark, and Storm.
ecosystem
Note Extended features of Message Queue for Apache Kafka , such as MQTT Proxy, REST Proxy, and KSQL Proxy, are not put into public review. These features will be available for trial in the future.