Issue link: https://read.uberflip.com/i/1408676
4 1. Vendor lock-in from legacy databases 2. Cost 3. Performance concerns Organizations using on-premises databases typically choose commercial-grade providers like Oracle and Microsoft with SQL Server. These legacy vendor solutions are expensive, proprietary, and commonly subject to the adverse effects of lock-in, most notably punitive licensing terms—a key reason many organizations are taking this course transition to open-source databases as fast as they can, even though the performance level provided by open-source offerings is typically inferior. Employing a dedicated team of experts to manage data environments adds up over time. As data and applications scale, many organizations find it necessary to purchase more advanced features or hire additional teams to manage ongoing issues. But what about the cost of issues that don't get managed or that stay unresolved? The increased focus on maintenance takes away from innovation that could be happening elsewhere. Similarly, there are the cost ramifications of the extended time to market caused by delays and disconnects common to maintaining traditional infrastructures. Many organizations experience performance growing pains running on-premises and self- managed data solutions. Agility and adaptation are critical to ensuring seamless performance with no disruptions, especially as data volumes and workloads grow. Without these adaptive capabilities, performance can decline as the demand for data storage and processing increases—at least until more resources can be deployed. Top six challenges of on-premises and self-managed data infrastructure On-premises and self-managed data infrastructures like databases, storage, and analytics pose increasingly difficult challenges for organizations lacking highly specialized IT staff. Organizations tied to their on-premises and self-managed data infrastructures struggle with more data than they can manage as data volumes continue to accelerate and new types of data emerge from new sources like log files, clickstream data, voice, and video. The adverse effects, which tend to multiply over time, include but are not limited to: 4 INTRODUCTION