In a recent blog post, Uber detailed why they have chosen to replace PostgreSQL with MySQL. In this article we present a high level overview of the problems they faced, how MySQL fares against them and some of the best rebuttals against the case presented by Uber.
Google have announced general availability of their Cloud SQL service. At launch the service comes with automatic encryption of customer data, a 99.95% uptime SLA and support for databases up to 500GB in size.
Mobile Backend as a Service provider AnyPresence continues to hone their chops. Launching the fifth update to their self-titled platform geared for the enterprise. Co-founder Rich Mendis provides some insights for InfoQ readers…
Microsoft recently revealed new pricing structure for Windows Azure Storage along with several improvements.
VMware releases SQLFire 1.0 a distributed SQL database geared towards high availability and horizontal scalability which offers table replication, table partitioning and parallel execution of queries.
Until now, Postgres was only available to Heroku customers for use with Heroku platform apps. This new service can be used from anywhere and with any Postgres client. Apps can connect from Heroku, Google App Engine, Microsoft Azure, Cloud Foundry, EC2, or from your local computer while PostgreSQL is supported by most modern programming languages - including Perl, Python, Ruby, Scala ...
The HyperSQL database (HSQLDB), version 2.0, has been released after 5 years in the making. HyperSQL 2.0 is the worthy successor to HSQLDB 1.8, which has been integrated and used in applications large and small, including the ubiquitous OpenOffice Base application. The new version boasts more features than any other open source database.
Recently, InfoQ.com upgraded the backend database that we've used since launch. However, everything did not go according to plan, and even though the vast majority of the migration was smooth we encountered some unexpected issues along the way (which have now been resolved). This post will discuss what our plan was, what worked and what didn't, and how we detected and recovered from the errors.
Amazon recently added a new MySQL database offering to their Amazon Web Services (AWS) platform named Amazon Relational Database Service (RDS). InfoQ explores the benefits and shortcomings of this new service, how it compares to running a local MySQL database, maintenance and replication, the 4-hour weekly downtime window requirement, availability zones, and future plans.