DBS Bank, Southeast Asia's largest bank, sought to modernize its technology and reduce reliance on costly proprietary database solutions. They successfully migrated over 30 mission-critical applications, including corporate banking and payment engines, to MariaDB. This strategic move delivered 30 to 70 percent cost savings, enhanced flexibility, enabled real-time data streaming via MaxScale, and provided comprehensive monitoring with Monyog, all while ensuring compliance with strict financial regulations. DBS now champions open-source technology, sharing its success with MariaDB in the financial industry.

Visma Proceedo, a critical purchase-to-pay cloud solution in the Nordic region serving nearly a million users and processing 12 million invoices yearly with over 20TB of data, faced limitations and rising costs with its legacy proprietary database. After a two-year migration project, Visma successfully transitioned to MariaDB Enterprise Server. This move significantly improved average response times from 1.5-2 seconds to under 700 milliseconds and achieved roughly 10% annual savings in license and support costs. MariaDB's support and proactive improvement proposals also exceeded expectations.

Since 2016, Lou Hill—a security engineer and founder of Cloudbunker—has trusted Bitwarden for secure password management. What began as a personal solution quickly scaled to power his IT consulting firm and its clients. From internal operations to managed service offerings, Bitwarden helps Cloudbunker enforce strong security, streamline access, and eliminate poor password practices. Now preparing to onboard 200 more users, Hill credits Bitwarden as a future-proof solution for secure, scalable growth.

Ingenico Financial Solutions, an e-Money provider, sought a robust, high-availability database solution and flexible support for its fast-growing business. Already using MariaDB, they faced downtime issues and needed a scalable partner. MariaDB provided a comprehensive solution, including a health check, infrastructure validation, performance optimizations, and assistance in setting up MariaDB Galera Cluster for high availability. This partnership resulted in a secure, scalable, and reliable database environment, ensuring business continuity and supporting Ingenico's growth.

Greetz, an online greeting card service, faced high costs and management complexity with their Oracle RAC database. Seeking a more affordable, highly available, and performant solution for their e-commerce platform, they partnered with MariaDB. The migration to MariaDB Enterprise Server with Galera Cluster resulted in a faster, more stable online store and significantly reduced Total Cost of Ownership by eliminating expensive licensing and SAN storage. MariaDB now provides a reliable and scalable foundation for Greetz's critical operations.

Esade Ramon Llull University, a top business school, sought a robust database solution to support their critical eLearning platform, Moodle, and its 7,000 students and 1,000 daily concurrent users. Facing poor performance and low availability with MySQL community edition, they chose MariaDB Enterprise Server with Galera Cluster for its high query speed, robust clustering, and comprehensive support, drastically improving Moodle's performance and student experience.

The MariaDB Enterprise Kubernetes Operator simplifies managing MariaDB Enterprise Platform on Kubernetes. Acting as an embedded DBA, it leverages Kubernetes Custom Resource Definitions (CRDs) to automate deployment and operation of complex MariaDB topologies, including high-availability Galera clusters and MaxScale setups, using simple YAML files. Key features include effortless deployment, seamless rolling upgrades with minimal downtime, automated backups and recovery, and enhanced security. This operator enables advanced high availability with Galera and integrated load balancing with MaxScale, unlocking enterprise-grade features. Certified for Red Hat OpenShift, it reduces operational complexity, ensures data availability and security, and is available with a MariaDB Enterprise Platform Plus subscription.

The Potsdam Institute for Climate Impact Research (PIK), a leading global change research institute, relies on Anaconda to empower its scientists in stewarding a brighter future. With over 100 Anaconda users across diverse scientific disciplines, PIK leverages Anaconda within its high-performance computing (HPC) cluster, ranked among the world's fastest supercomputers. Anaconda grants PIK scientists unprecedented freedom in software choices, versions, and environments, accelerating their model runs and ensuring scientific reproducibility. Ciaron Linstead, HPC Software Support Engineer at PIK, highlights how Anaconda allows system administrators to focus on performance optimization rather than building modules from scratch. Furthermore, practitioners across Python, C, C++, Fortran, and R benefit from Anaconda's fast and flexible package management, enabling quick environment creation, seamless sharing, and efficient utilization of cutting-edge tools like PyTorch for machine learning models. Anaconda is not just a tool; it's a vital enabler for PIK's critical work in climate impact and sustainable development.

OpenEye Scientific, a leader in computational molecular design, has integrated its advanced tools into Orion®, the only cloud-native molecular design platform. To ensure seamless operation and access to vital scientific libraries, OpenEye partnered with Anaconda. Managing Python environments and complex dependencies has historically challenged the scientific community. OpenEye chose Anaconda for its reliability and established leadership in Python package management, enabling straightforward access to numerous scientific libraries that would otherwise be difficult to utilize. Anaconda's embedded solution allows scientific developers to leverage the entire Python ecosystem within Orion, facilitating novel scientific calculations on the cloud. This partnership creates a seamless, powerful experience for Orion users, making advanced molecular design more accessible than ever.

Skip setup hassles—Anaconda’s Quick Start Environments let data pros launch pre-built, conflict-free workspaces instantly and start building faster.

The data science and machine learning (DSML) landscape is exploding with innovation, but it's also bringing new complexities! Organizations are grappling with the critical need to manage intricate AI development lifecycles, ensure robust governance and security for open-source components, and scale deployments without a hitch. The article dives into how these escalating challenges demand more than just tools—they require comprehensive, secure, and flexible solutions to truly unleash AI's full potential! It's an exciting time, and the focus is squarely on building a trusted foundation for the future of AI.

As AI adoption surges across industries, organizations face critical decisions about how to manage innovation, risk, and control. Open source AI offers enterprises the ability to “own their destiny” — providing transparency, flexibility, and customization that proprietary models often lack. However, with these benefits come challenges: security vulnerabilities, model drift, and cultural shifts in AI literacy. To succeed, businesses must build secure infrastructure, foster cross-functional collaboration, and establish governance pathways that empower safe innovation. The future belongs to cybernetic businesses — and those that proactively shape their AI strategies today will lead tomorrow.