Modernize Your Messaging Workloads with Data Streaming

Available On-demand

Does your data architecture deliver the speed, flexibility, and innovation your organization needs? If like many companies, you're still relying on legacy messaging systems like Message Queues (MQs) and Enterprise Service Buses (ESBs), the answer is most likely no. Widely used to handle inter-service communications for "fire and forget" use cases, these tools no longer keep up with the needs of modern applications, diverse data sources, and high volume throughput. These challenges have fueled the rise of Event-Driven Architectures (EDA) and data streaming.

Enter Apache Kafka, the de facto standard for data streaming with the scalability of a filesystem, guarantees of a database, and immediacy of a message queue – not to mention the ability to process and enrich data streams in-flight. However, self-managing open source Kafka requires allocating valuable engineering resources to building low-level tooling and infrastructure management. Whereas Confluent provides a complete, enterprise-grade distribution of Kafka, fully supported by the data streaming experts.

Join us to watch a live demo on how to modernize your messaging stack by connecting your existing legacy messaging systems (e.g., IBM MQ, TIBCO, HiveMQ, RabbitMQ, or ActiveMQ) with Confluent. Register now to learn:

• Why message-oriented middleware isn't a fit for distributed environments and modern applications
• How to use pre-built connectors and stream processing to merge, enrich, and join datasets to support highly scalable, persistent, and fault-tolerant real-time data streaming
• How to get started with Confluent Platform to power a highly scalable event-driven architecture with the highest level of security, availability, and reliability