Archive for Month: February 2017

Google Spanner vs Amazon Aurora: Who’ll Get the Enterprise?

In July 2015, Amazon delivered Aurora, the AWS-only Enterprise RDBMS they’d been claiming since November 2014 would have “5x Enterprise performance at 1/5 the price.” Amazon was making a big play in the MySQL market—they’d recognized that there is a lot of demand for scaling MySQL workloads, and that Enterprises […]

Google Cloud Spanner Joins Ranks of ClustrixDB as a Scale-Out ACID RDBMS

Clustrix Discusses the Significance of this Development Clustrix, provider of the first scale-out relational database designed for the elastic scaling requirements of high-transaction, high-value workloads of today’s Web applications, recently commented on Google’s beta launch of Cloud Spanner (read more at According to Clustrix CEO Mike Azevedo, “Google is […]

Google Spanner: The Good and the Better

Google just announced their Beta ‘Cloud Spanner,’ a “horizontally scalable, globally consistent, relational database service.” This impressive hosted technology addresses a long-standing market request: “How can we make our SQL databases scale both writes and reads past a single server?” This is the very important difference between “scale up” and […]

Sharding Adds Significant Application Costs

Percona recently published a blog discussing MySQL sharding models for SaaS applications. The blog did a great job highlighting the effort it takes to shard MySQL (e.g. gain write-scale for MySQL SaaS deployments), and discussed understanding both customer data requirements, as well as revenue expectations when designing sharding topologies. But […]