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MariaDB Server 10.2 has been a long time coming, as planning goes. We met in Amsterdam in October 2015 to start fleshing things out (and also managed a 10.1 GA then), and made a first alpha release in April 2016. If all goes well, 2016 will definitely see the GA release of MariaDB Server 10.2.

Some of the most common questions asked by our users are regarding MariaDB support in Docker, and in particular how it can be used in specific development or production deployments. This series of articles will try to cover a few Docker and MariaDB use cases.

I'm now in Hanoi, Vietnam, for the launch of OpenCPS. What, might you ask, is OpenCPS? OpenCPS translates to Open Core Public Services, as Vietnam is providing online public services and OpenCPS should sit at its core. Naturally, all of this will be open source, and AGPL licensed. OpenCPS is the first open source project to realize the development of e-government services in Vietnam.

We are pleased to announce that MariaDB MaxScale 1.4.3 GA is now available for download!

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At the 2016 Open Source Conference in Rome, held a few weeks ago, MariaDB was present along with many of the most relevant players in the Open Source community. This included the Italian Public Administration. They are required by law to give preference to free software and open source software. The goal of the Italian Open Source Observatory is to promote the use of open source software in Italian public administrations. They monitor and collect information on cases of open source adoption and best practices related to open technology usage within institutions.

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When folk in the MariaDB world think about a GUI front-end, they tend to think of HeidiSQL, which has been shipping as part of MariaDB Server since 5.2.7. If one has a MariaDB Enterprise subscription, you get the Visual Query Editor which is SQLyog by Webyog. In fact the Knowledge Base lists a fairly lengthy list of Graphical and Enhanced Clients.

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ColumnStore ArchitectureMariaDB ColumnStore is built on a three-tier scalable architecture that supports the kind of growth that MariaDB users have grown accustomed to. Queries are processed by user modules, which assign tasks to parallel performance modules that access the columnar distributed storage layer below. Performance modules scale almost infinitely, providing both performance and capacity growth as you add servers. They also provide built-in data redundancy. These modules don’t process queries; they just take instructions from the user modules, which organize and deliver the results.

Row-Orientated vs Column-OrientatedRelational databases store data in rows because a typical SQL query looks for multiple fields within a record. For example, if you ask for name, zip code and email address of all your customers in New York, the result is presented in rows, with each row containing several fields from a single record. Row structures are also well optimized to handle a lot of inserts and updates.

MariaDB works with many clients to migrate Microsoft SQL and Oracle to MariaDB. With the CONNECT storage engine we can access any ODBC data source in MariaDB. Here's a small HOWTO for those who want to give it a quick try. In this example we use MSSQL, though the same principle should be possible with Oracle ODBC servers.

URGENT UPDATE: Do not take 1.4.2 into use. We have found a problem and will provide a 1.4.3 release shortly.

We are pleased to announce that MariaDB MaxScale 1.4.2 GA is now available for download!

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