MySQL is a popular open-sourced relational database server. It comes in many flavours, including Enterprise and Community editions. Amazon Web Services, Microsoft Azure, and Google Cloud Platform all provide their own managed MySQL services. The available versions and features vary from provider to provider. As an added complexity, AWS provides three different MySQL services, each one of them different. Let’s take a closer look.

Grafana by default uses sqlite3 as a local database to hold the configuration information (such as users, dashboards, alerts, etc.). But did you know you can also use other databases for this purpose? Many large customers prefer to use either Postgresql or MySQL/MariaDB, and we recently had a request from a company wanting some help to migrate their configuration data from Postgresql to MySQL. This is not a common request, so we didn’t have any pre-existing tooling to do it.

Redis is an extremely fast NoSQL data store. While it is used mainly as a cache, it can be applied to uses as diverse as graph representation and search. Client libraries are available in all of the major programming languages, and it is provided as a managed service by all of the top cloud service providers. For the past three years, Redis has been named the most loved database by the Stack Overflow Developer Survey.

Software of all kinds requires information to do its work. At the back end of most programs you’ll usually find some form of database, which has been created or selected and configured to run specifically with that application. In creating that database or making a selection from the wide range of products available, there are several factors to consider. We’ll be looking at these criteria, in this article.

LogicMonitor recently released 15+ new DataSources and 2 PropertySources for Oracle Database monitoring. This release is our most extensive update to the Oracle platform yet. With this update, we include support for multi-database configurations and containerization.

Introducing the pg_partition_manager gem: It helps you easily maintain PostgreSQL partitioned tables that need to be created and dropped over time as you add and expire time-based data in your application.

Have you heard the saying “you can’t manage what you can’t measure?” The phrase is often attributed to management thinker Peter Drucker, and less often to other authors as well. It can also slightly vary in its wording, depending on the source. At the end of the day, the exact wording of the sayer and who said it first doesn’t matter as much as whether it’s true or not. We’re here to tell you that yes, it’s true for a lot of things in life.

Redshift is a fast, managed, data warehouse solution that's part of AWS. Although it is traditional SQL and meant for BI (Business Intelligence), it is designed for scalability and can support many workloads typically reserved for Big Data tools. It is protocol-compatible with PostgreSQL and is available through JDBC/ODBC, opening it up to a huge range of existing SQL tools.

Some development problems are too complex, some timelines too tight, and some projects too greenfield for established teams to tackle. When you need to create a new team of developers for an ambitious project, the venerable cross-functional or tiger team provides the perfect model for bringing a ragtag crew together to achieve a shared goal.

Vertica is a platform that uses machine learning capabilities to help you analyze large amounts of data. Vertica provides high availability and parallel processing by replicating data onto multiple nodes in a cluster, and uses a column-based data store for efficient querying. You can deploy Vertica in the cloud, on premise, or as a hybrid of the two.