
Note: This is an edited version of an article on SolarWinds Orange Matter.
Every database manager understands the complexities involved in maintaining and optimizing multiple enterprise databases. Businesses today use a wide range of database systems to support a variety of applications and data types. While this ‘multi database’ approach is perfect for catering to specific data needs (matching technologies to requirements ad hoc), from a management perspective it means having to oversee multiple and diverse systems simultaneously.
In our updated whitepaper called "Manage Your Multiple Database Journey" we address the growing complexity of multi-database environments. We draw on industry insights and case studies to look at the strategic implementation and management of multiple databases and database types. Key points include:
- Multiple and diverse databases: Organizations use various database systems (including data warehouses and NoSQL databases) to support different applications and data types. While this approach caters to specific needs and use cases, it also means database managers must oversee multiple systems simultaneously–all the while ensuring operational, optimized, and efficient systems.
- Cloud transition: Cloud-based databases offer scalability, flexibility, and cost-effectiveness, but they also mean database managers need to adapt to new tools and practices for managing hybrid or cloud environments. Cloud databases require performance and security oversight, reflecting a shift from physical to virtual management.
- Multi-database strategy: Redundancy and transactional capacity are key benefits. Distributed deadlock detection improves transaction processing. Other benefits include redundancy, high availability, flexible scheduling and reduced downtime. By adopting multi-database strategy enterprises aim to ensure sufficient capacity, simplified compliance measures, and hassle-free scalability.
Multi-Tasking at Scale
In the modern multi-database environment database professionals are expected to multitask at scale. And yet few database managers come to their roles with the expertise or experience needed to keep such varied and diverse data layers running optimally - never mind knowing the intimate details of every database type. This isn’t a shortcoming on the part of database managers; it’s an indication of the complexity of the current IT environment where there’s no one-size-fits-all approach to data management.
If anything, the move toward complex and distributed database environments further emphasizes a need for comprehensive database monitoring and management tools. The key to database optimization isn’t just about hiring the right database people, it’s about ensuring that when you have the right people, they have the right tools to work with. To learn more about the multi-database environments, download our updated white paper today.
Read The White Paper Today