Wide-Column Stores for Real-Time Analytics: Lessons from Production Deployments
Real-time analytics is not a feature you bolt on after the fact. When dashboards must refresh in under a second or fraud models need to score transactions as they arrive, the storage layer becomes the critical path. Wide-column stores have emerged as a go-to choice for these workloads, but production deployments reveal a gap between vendor promises and operational reality. This guide compiles lessons from teams that have been through that gap—and survived. We focus on the decisions that matter: which store to pick, how to model your data, and what to watch for when the system goes live. If you are evaluating Apache Cassandra, ScyllaDB, Google Bigtable, or a similar wide-column store for a real-time analytics use case, the following sections will help you avoid the mistakes that show up only after you have migrated production traffic.