Scaling Web Services with MySQL Cluster: An Alternative to the MySQL Memory Storage Engine

While effective for smaller, “read-mostly” deployments, as web services evolve users of the MySQL MEMORY storage engine can find themselves confronting issues in scalability, concurrency and availability.

MEMORY is a basic MySQL storage engine designed for in-memory operations. MySQL Cluster, which itself can be implemented as a MySQL storage engine, can perform all the same in-memory operations, and is faster, more reliable and uses less RAM for data, even on a single node.

In performance testing, MySQL Cluster was able to deliver 30x higher throughput with 1/3rd the latency of the MEMORY storage engine on just a single node.

MySQL Cluster can be configured and run in the same way as MEMORY (ie on a single host with no replication and no persistence), but then any of these high availability and scalability attributes can be added in any combination as the workload evolves. The database can be scaled across multiple nodes without implementing sharding (partitioning) in the application, significantly reducing both cost and complexity.

In this whitepaper, comparisons between the MEMORY storage engine and MySQL Cluster are presented, including a performance study of the two technologies, before then providing a step-by-step guide on how existing Memory storage engine users can upgrade to MySQL Cluster.

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