MariaDB

Meet the MariaDB Migrator 🐬➡️🦭 Most MySQL-to-MariaDB migrations stall in the same place — a schema incompatibility, or a broken user privilege that surfaces halfway through a production cutover long after the copy has started. MariaDB Migrator starts with a non-destructive Assess & Plan phase that surfaces compatibility issues before a single row moves. From there, four migration modes cover the full range of downtime tolerance — from a one-pass copy, to a near-zero-downtime replication cutover. The whole workflow is scriptable, so a migration can be rehearsed and repeated rather than run by hand under pressure. MariaDB Enterprise Engineering Director Manoj Vakeel, walks through the Migrator in depth — explore the latest here: https://lnkd.in/gytrePx5

As you move from sandbox to production, don't let data latency and silos stall your agentic AI projects. Join MariaDB CPO Vikas Mathur and Director of Product Marketing Tina Yang on July 28 to learn how to break through those bottlenecks. We’ll dive into how the MariaDB Enterprise Platform enables 800x faster insights, secure AI scaling with native vector search, and a unified architecture that eliminates complex ETL. Don’t miss this blueprint for the agent-driven enterprise.

Oracle's pricing model has always asked engineering teams to pay a premium for the privilege of staying locked in, but the math is getting harder to defend 😶 Across three years on comparable hardware, Oracle runs at roughly 82% higher total cost than MariaDB Enterprise Platform for high availability, and the exit path is cleaner than most expect: SQL_MODE=ORACLE reads 80 to 90% of existing PL/SQL directly, so most stored logic moves over without a rewrite to the application layer. So, the license is what teams are paying to leave behind, and the code mostly comes along for free 🐬➡️🦭 Explore the full TCO breakdown and migration methodology: https://lnkd.in/ggX9Crax

"The data layer is experiencing massive convergence. The traditional wall between transactional OLTP and analytical OLAP has collapsed into the same platform... [and] you cannot achieve sub millisecond speeds if you're constantly shifting data between a transactional engine and an analytical warehouse." In our latest webinar, MariaDB Head of Financial Services Mani Nagasundaram joined Solution Architect David Brown to discuss the shift facing payment systems as financial institutions move to modernize high-volume payments. The pressure is real: fraud scoring and compliance checks now have to run inside a submillisecond authorization window, at peak volume, with no maintenance windows to fall back on. Mani and Dave made the case that a centralized mainframe can't meet that bar, and that convergence of transactional and analytical workloads onto one platform is what closes the gap. Their answer is a phased path that modernizes without a rip-and-replace migration, shielding the mainframe first and shifting workloads onto the combined platforms over time. Watch the full session on-demand: https://lnkd.in/gCxUefFk 

"['Smart' is] for the ability of MariaDB Optimizer to push not only the scan, or filter it scans down to the storage engine, but parts of the query — or ideally, the full query — to a storage engine." MariaDB Software Developer and Advocate Roman Nozdrin recently joined DuckDB's DuckCon #7 to share a talk on MariaDB's new smart storage engine — which embeds DuckDB directly. By pushing whole queries down to DuckDB's columnar, vectorized execution, MariaDB runs analytics inside the database itself, with no separate analytical runtime sitting beside it and no data drifting out of sync between the two. Watch the full video: https://lnkd.in/ghkNFKXr 

GridGain is now a part of MariaDB... which means more opportunities to learn! If you're already familiar with Apache Ignite and GridGain or you want to uplevel your skill, join our 90-minute foundation courses for Java developers and architects: ➡️ Explore best practices and tips for using Spring Boot and Spring Data with the latest versions of Apache Ignite 2 and GridGain 8. ➡️ Build a RESTful web service that uses Apache Ignite as an in-memory database. The service is a Spring Boot application that interacts with the Ignite cluster via Spring Data repository abstractions. The trainings are completely free! Explore the upcoming schedule: https://lnkd.in/g6jYH_-b

A brilliant afternoon of good company, networking, and some seriously competitive spirits 🏏 MariaDB was thrilled to join Tata Consultancy Services and Virgin Media O2 for their annual cricket match — merging partnership with a little tactical time on the pitch. A special thank you to Virgin Media O2's Thazar Hussain, EXEO Global Pte Ltd's Simon Tickner and Mike Shrimpton, RTK Group's Iain Burton, Murali Santhakumara, and Ricky Patel for the invite. We already can't wait for next year's rematch!

Teams shouldn't need a separate analytical system to run analytics on their operational data. MariaDB Exa embeds Exasol's MPP engine directly into MariaDB Cloud, delivering real-time HTAP analytics up to 800x faster — without the ETL pipelines, the sync lag, or the second database to operate. The kind of queries that used to mean spinning up a data warehouse now run against live transactional data, all in the same platform. MariaDB Engineer Allen Herrera walks through it in depth here: https://lnkd.in/gBT6bS5t

💡Expert opinions: ‘AI is accelerating application development, but control is now the limiting factor’ by Adam Luciano, Vice President of Product Management, MariaDB plc. AI-assisted application development, often referred to as "vibe coding", has reduced one of the longest-standing constraints in software: access to engineering time. Functional applications can now be created quickly, often by non-developers, shifting how ideas move from concept to execution. The most immediate impact is in smaller, focused tools. These are not large enterprise systems, but targeted applications with limited scope. Increasingly, they are stable enough for operational use. Tasks that once required setup time and specialist input, such as configuring environments, connecting databases, and generating interfaces, can now be completed rapidly. Click the link to read 🔗 https://lnkd.in/ec-68w3M #DWMagazine #digitalisationworld

Java builders — four new Connector/J updates are ready to download! ☕️ Releases 3.5.9, 3.4.3, 3.3.5, and 2.7.14 bring additional bug fixes and stability improvements across the supported Connector/J branches, keeping each line current for teams running Java connectivity in production. 📍 Explore the latest: https://lnkd.in/gwytuNMn