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Apache Cassandra

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description Apache Cassandra Overview

Apache Cassandra is a distributed NoSQL database designed to handle massive amounts of data across many commodity servers. It uses a peer-to-peer architecture, meaning there is no single point of failure, making it incredibly resilient for global applications. It excels at high-velocity writes and provides tunable consistency, allowing developers to balance speed against data accuracy. It is the go-to choice for companies requiring linear scalability and 100% uptime for large-scale telemetry or messaging systems.

help Apache Cassandra FAQ

What query language does Apache Cassandra use to interact with data?

Cassandra uses Cassandra Query Language (CQL), which heavily resembles standard SQL syntax for ease of adoption. However, unlike traditional relational databases, CQL does not support complex JOIN operations or foreign key constraints.

How does Apache Cassandra handle hardware failures without data loss?

Cassandra relies on a peer-to-peer distributed architecture, replicating data across multiple nodes in a cluster using a configurable replication factor. If one commodity server fails, the data remains fully accessible from the other replica nodes.

Why are partition keys so important when designing tables in Apache Cassandra?

In Cassandra, the partition key determines exactly which node in the cluster stores the data. Designing your schema around your specific queries is crucial to avoid expensive full-table scans.

Who originally developed Apache Cassandra?

Cassandra was originally developed by Facebook in 2008 to power their Inbox Search feature. It was later released as an open-source project and is now managed by the Apache Software Foundation.

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