Josh McKenzie

Apache Cassandra excels at horizontal scale-out and availability but lacks seamless integration with modern data architectures. Unlike MongoDB and PostgreSQL which offer turnkey integrations with streaming, search, analytics, and lakehouse formats, Cassandra requires custom pipelines increasing complexity and cost while limiting adoption.

Paging in Apache Cassandra has evolved significantly. From the early fast-failing nodes and coordinator memory errors to the current row count-based approach and tombstone count failure, to the upcoming byte-based and tombstone short-circuiting mechanisms, paging in Cassandra has taken many shapes over the years.