Building Event Streaming Architectures on ScyllaDB and Confluent with Kafka

A webinar hosted by ScyllaDB highlighted the integration of ScyllaDB and Confluent Kafka in building event streaming architectures, featuring insights from Numberly's CTO Alexys Jacob and Chief Data Officer Othmane El Metioui, alongside Tim Berglund from Confluent. Numberly employs a hybrid architecture using ScyllaDB and Kafka on-premise and in the cloud, emphasizing the necessity of expertise in managing a multi-datacenter infrastructure. They discussed their transition from using Elastic Beanstalk and RabbitMQ to Redis and Kafka, before ultimately adopting ScyllaDB for low-latency remote state storage to reduce pipeline complexity and enhance performance. They also highlighted the importance of ScyllaDB's Change Data Capture (CDC) feature, which allows for efficient data synchronization and real-time processing. The session underscored how Kafka and ScyllaDB complement each other, especially in handling large data volumes and ensuring low latency, although challenges like managing large partitions and optimizing data models were noted. The integration of ScyllaDB CDC with Kafka Connect was further explored, with a focus on its ease of use and scalability, making it suitable for complex event streaming applications.

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