KairosDB and ScyllaDB: A Time Series Solution for Performance and Scalability

KairosDB and ScyllaDB form a robust time-series solution by combining KairosDB's simple data ingestion and retrieval capabilities with ScyllaDB's large-scale, high-throughput backend. This integration, enhanced by KairosDB's native CQL support, allows for efficient data management, processing, and visualization, making it highly scalable and reliable. Performance tests demonstrate that ScyllaDB maintains low tail latencies and scales linearly with added KairosDB nodes, even when processing data from 180,000 sensors per second. The tests utilized AWS EC2 instances with specific configurations to handle large numbers of data points efficiently, showing that ScyllaDB's open-source version can manage substantial workloads without increasing resource allocation. The collaboration between the two databases ensures high availability and performance, making them an ideal choice for handling time-series data.

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