Cassandra

Overview

Apache Cassandra (https://cassandra.apache.org) is a distributed, linearly scalable, highly available NoSQL column-family database designed for large-scale write-heavy and geo-distributed deployments. It uses a peer-to-peer architecture, the Gossip protocol, and SSTable storage, and supports tunable consistency with no single point of failure.

Core features and highlights

Linear scalability: strong horizontal scaling to smoothly handle PB-scale data and high-concurrency workloads.
High availability and fault tolerance: multi-replica, multi-datacenter replication and automatic failover ensure continuous service availability.
Tunable consistency: configurable from strong to eventual consistency to balance performance and correctness.
Rich ecosystem: supports CQL and integrates well with Spark, Kafka, Hadoop, and more.

Use cases and target users

Typical use cases: IoT time-series data, logs and metrics storage, social platforms, real-time analytics, and mixed online transaction/analytic workloads.
Target users: backend architects, database administrators, SREs, and big data engineering teams.

Overview

Core features and highlights

Linear scalability: strong horizontal scaling to smoothly handle PB-scale data and high-concurrency workloads.
High availability and fault tolerance: multi-replica, multi-datacenter replication and automatic failover ensure continuous service availability.
Tunable consistency: configurable from strong to eventual consistency to balance performance and correctness.
Rich ecosystem: supports CQL and integrates well with Spark, Kafka, Hadoop, and more.

Use cases and target users

Typical use cases: IoT time-series data, logs and metrics storage, social platforms, real-time analytics, and mixed online transaction/analytic workloads.
Target users: backend architects, database administrators, SREs, and big data engineering teams.