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Get the latest on MariaDB product updates, migration tips and database best practices

MariaDB SkySQL Updates for Cloud Data Warehousing and HTAP Topologies

The newest release of MariaDB SkySQL includes MariaDB Enterprise ColumnStore 5.4. ColumnStore is a columnar smart engine used to accomplish … Continued

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MariaDB SkySQL Adds Distributed SQL with Dynamic Elasticity

With MariaDB SkySQL distributed SQL, dynamically changing a service’s node count is as easy as clicking a button. Adding or decreasing the node count including providing copies for HA and load balancing is done transparently behind the scenes.

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MariaDB SkySQL Expanded Monitoring

MariaDB SkySQL Monitoring is expanded in this major new update.

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How MariaDB Achieves Global Scale with Xpand

A new MariaDB storage engine provides distributed SQL and massive scalability with a shared nothing architecture, fully distributed ACID transactions, and strong consistency.

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MariaDB Connector/R2DBC now RC

Connector/R2DBC supports non-blocking, reactive Java programming with MariaDB databases.

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MariaDB MaxScale 2.5 Cooperative Monitoring

With the release of MariaDB MaxScale 2.5, if the primary node in a replication deployment fails, cooperative monitoring can automatically designate a new primary node.

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Benchmark: MariaDB vs MySQL on Commodity Cloud Hardware

Relative performance benchmark of MariaDB vs MySQL on Amazon AWS EC2 and RDS.

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Lift and Shift to MariaDB SkySQL

Follow these simple steps to migrate from an on-prem MariaDB Server deployment to MariaDB’s cloud database, SkySQL.

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MariaDB Platform X5 Includes Support for HashiCorp Vault KMS

HashiCorp Vault can now be used as the key management system for MariaDB Platform/MariaDB Enterprise Server data-at-rest encryption, covering InnoDB data, Aria data, binary logs and Galera cluster’s GCache.

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Predict Database Problems Using MariaDB SkySQL Workload Analysis Tool

We’d all rather prevent problems than react to them. Get to know MariaDB SkySQL’s Workload Analysis tool. Standard database monitoring tools are diagnostic and reactive, but Workload Analysis is predictive and preventative – thanks to machine learning.

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