When to use Streaming Analytics vs Streaming Databases

Event streaming infrastructure is crucial for modern data operations, enabling organizations to gain real-time insights by processing streaming data. Streaming analytics systems, like Apache Flink and Kafka Stream, provide a compute layer for real-time data processing without their own storage, making them ideal for building real-time data pipelines. In contrast, streaming databases combine processing and storage, allowing for the creation of materialized views that serve real-time data but lack fine-grained control over queries, making them less suited for real-time pipeline construction. DeltaStream offers a unified platform that combines the advantages of both systems, allowing users to build, manage, and secure streaming applications with features like real-time materialized views, fine-grained query control, and familiar security protocols. DeltaStream's serverless service supports integration with existing streaming storage systems like Apache Kafka and AWS Kinesis, providing a comprehensive solution for organizing and securing streaming data while enabling real-time data sharing and application development.

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