Distributed Database Design Decisions to Support High Performance Event Streaming

The transition from batch-oriented processing to event streaming architectures is a notable shift in the current tech cycle, as databases need to accommodate real-time data changes at high throughput rates. This shift emphasizes the importance of selecting a database that aligns with event streaming, considering factors such as cloud-native capabilities, intrinsic qualities like reliability and performance, event-driven design, and the best fit for specific use cases. ScyllaDB, a highly scalable NoSQL database, aligns well with event streaming systems such as Kafka due to its low latency, high throughput, and compatibility with Cassandra CQL, although it lacks native connectors for Apache Pulsar. This adaptability allows ScyllaDB to integrate effectively with event streaming platforms, offering advanced Change Data Capture (CDC) capabilities, although there are opportunities for further optimization in connector development for easier deployment and enhanced performance.

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