Schema in Cassandra 1.1
Blog post from DataStax
Cassandra, a distributed database system, initially followed a "schemaless" data model similar to Google's Bigtable paper. However, as systems grew and matured, the lack of schema became a pain point. Starting with version 0.7, Cassandra allowed users to define their data types, making it "schema-optional." The storage engine in Cassandra is sparse, allowing for easy addition of columns without reallocating space row by row. This flexibility is combined with the benefits of having a defined schema. In upcoming releases, CQL will support defining column families with compound primary keys, which can be useful for denormalizing data and faster queries.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.