Scale Beyond MySQL or PostgreSQL Without a Full Migration

Customer-facing analytics, search, recommendations, and real-time reporting can strain MySQL and PostgreSQL when high transaction volumes, growing datasets, and concurrent analytical queries compete for resources. The text presents distributed SQL database SingleStore Helios as an incremental scaling option, with SingleStore Flow using change data capture to continuously replicate MySQL or PostgreSQL data so teams can move selected analytical workloads without immediately replacing their operational database. This approach enables organizations to synchronize existing and new data, validate workloads, shift queries gradually, and retain transactional writes in the source system while using SingleStore for large aggregations, reporting, search, and real-time analytics. Flow is positioned as a managed alternative to operating CDC infrastructure with tools such as Kafka and Debezium, handling replication concerns including synchronization, failures, schema changes, and scaling. Reported deployments include migrations ranging from hundreds of gigabytes in hours to 75 TB across 4,000 tables in a week, while MySQL wire-protocol compatibility can support existing drivers and tools. The broader objective is to enable low-latency, fresh-data product features such as fraud investigation, observability, personalization, usage analytics, and interactive search at scales that conventional transactional database architectures may struggle to support.

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