New MariaDB Platform Launches in the Cloud Database Trends and Applications

It is also a deployment that can scale from the small cluster of the examples below to accommodate more transactions, larger analytical processing and high availability. “SQL has been and will continue to be the preferred method for storing business data,” said James Curtis, Senior Analyst, Data Platforms and Analytics, 451 Research. In a blog post announcing the release, the company outlined some technical details. The product contains two separate instances of MariaDB server — one for transactional, one for analytical work.

The company won praise from analysts for the engineering behind the products. I should note that this image is intended for test and development purposes. MariaDB Platform is supported on Docker for production installations, but those installations should be based on laying down many of the individual components into their own containers. The Single Container Image combines MaxScale, a MariaDB Server Master/Slave/Slave setup, MariaDB ColumnStore running a single UM and a single PM, and the necessary CDC components into one Docker image. Finally, to terminate the cursor and connection to the database execute the following two lines of code. Using the calculations above we can now show the dog breeds that are within one standard deviation (6.5 in.) of the mean (16.3 in.).

Planet MariaDB Server

While purchases require transactions, useful information (e.g., this product will be sold-out within hours) requires analytics. Consequently, these applications need access to more historical data and more powerful analytics – things transactional databases cannot provide, at least not at scale. The release of MariaDB Platform X3 brings together MariaDB TX for transactions and MariaDB AX for analytics into a powerful solution that can tackle a wide range of data management requirements.

In effect it operates as a replication slave, only instead of writing data locally, it streams the writes to the ColumnStore User Modules. With each slave MariaDB Server in your deployment, configure it to replicate data from the master server and start the replication process. Perform the following operations on each slave server, (that is, Server-2 through Server-4).

Volt Active Data

It also prevents application users from seeing and querying historical data. MariaDB Platform X3 brings together MariaDB TX and MariaDB AX in one platform that can uniquely scale out transactions or analytics to support business growth goals. With a single unified product, MariaDB Platform X3 reduces complexity and increases operational and analytical efficiency, giving application users full visibility and analytical access to historical data. MariaDB Platform is an enterprise open source database for hybrid transactional/analytical processing at any scale, with row storage for transactions and columnar storage for analytics. It’s built for businesses whose customers demand more information and deeper insight.

Production installations of MariaDB Platform are tailored to the requirements of the given application. Factors like read/write mix, OLTP queries versus analytics queries, high availability requirements and much more will drive different mariadb developer topologies for production clusters. These setups can vary from a single MariaDB Server with InnoDB storage fronted by MariaDB MaxScale all the way to a globally distributed cluster that includes MariaDB ColumnStore for analytics.

MariaDB has fused its relational and column-store databases into one, with data automatically synced between workload types

So, when deploying a cluster for HTAP, ensure that the binlog_format system variable on the MariaDB Servers is always set to the ROW value. MariaDB Shell is a unified command line interface that provides all the critical tools you need to troubleshoot and administer your MariaDB products. It is flag compatible, has a friendly interface and serves as a 100% replacement for mariadb-admin. New features include the ability to warm in-memory storage engine caches, collect environment and performance data and create a report to track database trends.

If you’ve outgrown your database, you shouldn’t have to settle for lightweight analytics. When MariaDB Servers run as replication slaves, they replicate data through client connections with the master server. In order for these servers to establish client connections, create a replication user on the master server, Server-1, and grant the user the relevant privileges to retrieve the data.

A positive new chapter for MariaDB Server

These database systems have been shown to perform more than an order of magnitude better than traditional row-oriented database systems. This allows a MariaDB client to set up replication using commands similar to those that manage a replication slave server. It only uses the user and password to authentication the configuration connection, (the credentials for connecting to the Server are specified in the configuration below).

With the CDC Data Adapter installed you can configure it to stream data to MariaDB ColumnStore. This is done by copying the Columnstore.xml configuration file from one of the ColumnStore nodes to the MaxScale-1 server, where the CDC Data Adapter can use it. Lastly, using the maxctrl utility, create a user for the Avro Router to capture data changes. This user handles streaming data MaxScale retrieves from the MariaDB Servers to ColumnStore.

MariaDB may be deployed for production environments using native package management tools apt and yum.

Table employees and breeds have data about employees and dog breeds respectively. It holds the result of the mean, variance and standard deviation calculation of the different dog breeds. Employees data is used to demonstrate the advanced statistical functions such as co-variance and correlation. Column oriented data stores (for MariaDB, known as, MariaDB ColumnStore) are more suitable for analytical workloads because the data format lends itself to faster query processing.

• In this example, the COVAR_POP aggregate function is used to calculate the population covariance of the full employee data set (use COVAR_SAMP for sample data).
• It’s built for businesses whose customers demand more information and deeper insight.
• It not only provides mission-critical applications with enterprise features including automatic failover, data masking and denial-of-service protection, it supports workload-based query routing for hybrid transactional/analytical processing.
• OLTP data is used for logging, and analysis of OLAP data drives understanding of product losses, replenishment patterns, and equipment failures.
• This allows for more flexible deployments, where the number of nodes in a given deployment can be moved freely between OLTP and OLAP workloads as demand changes.
• MariaDB is ditching strategic products and cutting 28 percent of the workforce as it struggles to overcome the financial challenges its faced since floating on the stock market.

The old versions of the rows are not visible through normal query syntax, but by using a special syntax you can access all of the old versions of the row. This feature can be turned on per table and the history can also be deleted periodically so that your table doesn’t grow indefinitely. For more information on system versioning read our manual or this blog on automatic data versioning.

Introducing MariaDB Platform X3 and the Rise of Hybrid Everything

At a technical level, when an OLTP query is performed to process the customer’s purchase, the customer’s past and current purchase history is analyzed with an OLAP query to provide promotions tailored to the customer’s buying history. To learn more, join the upcoming webinar or attend MariaDB’s annual user conference, MariaDB OpenWorks on February 25-27, 2019 in New York for live demos and technology deep dives.