Where Cassandra Falls Short, and Why
Apache Cassandra provides an easy way to scale data across multiple nodes and datacenters with fault tolerance and data redundancy. However, in practice, Cassandra has proven to be expensive and problematic due to several key limitations of the underlying architecture.
This paper explores four core issues at the root of common problems encountered running Cassandra in production. Read about Cassandra issues in this white paper and learn:
- The main problems with Cassandra’s administrative burden, inconsistent and high latencies, timeouts, node sprawl, and other common issues
- Where the underlying architecture contributes to Cassandra performance issues
- Why use ScyllaDB as an alternative to Cassandra to address these shortcomings
