IBM MQ®: IBM’s proprietary technology is a robust messaging middleware that simplifies and accelerates the integration of diverse applications and business data across multiple platforms.

IBM MQ is messaging and queuing middleware, with several modes of operation: point-to-point, publish/subscribe, file transfer. Applications can publish messages to many subscribers over multicast.

Kafka Client: Apache Kafka is an open source streaming message broker and choice for many organizations for data streaming to data warehouses and building ingestion pipelines to data lakes including HDFS. Compared to traditional message brokers, Kafta offers improvements including throughput, partitioning, replication, and fault tolerance. Cleo’s Kafka client connector supports high-volume and low-latency end-to-end pipelines enabling several use cases, including traditional message brokering, real-time data streaming, log or event data aggregation, as well as activity and event monitoring.

AMQP: The Advanced Message Queuing Protocol (AMQP) is an open standard protocol that works at the application layer allowing message orientation, queuing, and routing, while providing interoperability, reliability and security for sending and receiving messages between businesses and applications. Cleo Integration Cloud provides connectivity to support common AMQP application service integrations including Azure Service Bus and RabbitMQ.