Useful Data Tips

Apache Cassandra

⏱️ 8 sec read 🗄️ Data Management

What it is: Distributed NoSQL database designed for massive scale. Wide-column store with no single point of failure, linear scalability.

What It Does Best

Always-on availability. Multi-datacenter replication. Node failures don't cause downtime.

Linear scalability. Add nodes, get proportional performance. No sharding complexity.

Write performance. Optimized for high-velocity writes. Time-series data, IoT sensors, event logs.

Pricing

Free. Open source, Apache 2.0 license. Managed options: DataStax Astra (pay per usage), AWS Keyspaces.

When to Use It

✅ Multi-datacenter deployments

✅ High write throughput requirements

✅ Time-series or IoT data at scale

✅ Need 99.99%+ availability

When NOT to Use It

❌ Complex joins and aggregations (limited query flexibility)

❌ Strong consistency requirements (eventual consistency model)

❌ Small datasets (operational overhead not worth it)

Bottom line: Built for scale and availability. If you need multi-datacenter writes, massive throughput, and can't afford downtime, Cassandra delivers. Learn CQL query patterns before committing.

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