Cassandra explained
How Apache Cassandra stores huge amounts of data across many machines: the masterless ring, partition keys and clustering columns, query-first data modelling, replication factor and tunable consistency, the write path with commit log, memtables and SSTables, compaction and tombstones, CQL, and when Cassandra is the right choice.
CodexBash, , 6 min read
Apache Cassandra is a distributed database built for workloads that outgrow a single server: billions of rows, enormous write rates, and data spread across several data centres, with no single point of failure. It was created at Facebook for inbox search, open-sourced in 2008, and now runs at large scale at companies handling messaging, IoT, time series and activity data. Cassandra makes very different trade-offs from a relational database, and using it well requires designing tables around queries rather than around entities. This article explains how it works and how to model data for it.
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