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To handle streaming analytics, a column store database implementation must treat low latency queries and ongoing writes as “first-class citizens,” with a focus on avoiding interference between read, ingest, update and storage optimization workloads. This broadens the range of viable column store workloads to include streaming analytics, and their stringent demands on query and data latency. These applications include operational systems that back adtech, financial services, fraud detection and other data streaming applications.
SingleStoreDB is a modern, unified, real-time distributed SQL database. It uses fragmented snapshot transactions and optimistic storage reordering to meet the extremely low latency requirements of streaming analytics applications. SingleStoreDB stores data in tables and supports standard SQL data types. Geospatial and JSON data types are also first-class citizens in SingleStoreDB, which can store and query structured, semi-structured and unstructured data with equal ease.