An in-memory database stores data directly in RAM rather than on disk, enabling extremely fast read and write operations. This approach is ideal for applications requiring low-latency performance, real-time analytics, caching, and high-speed transaction processing. Because data is stored in memory, in-memory databases reduce bottlenecks associated with disk access. Examples include Redis, Memcached, and SAP HANA.
Glossary · I
In-memory database
A database management system that primarily relies on main memory for data storage, providing faster data access compared to disk-based databases.
More terms starting with I
- IaaS (Infrastructure as a Service)A cloud computing model that provides virtualized computing resources over the internet, including servers, storage, and networking infrastructure.
- IDE (Integrated Development Environment)A software application that provides comprehensive tools for software development, including code editor, debugger, and build automation in a single interface.
- Infrastructure as Code (IaC)The practice of managing and provisioning computing infrastructure through machine-readable definition files rather than physical hardware configuration or interactive tools.
- IntegrationThe process of combining different software systems and applications to work together, enabling data sharing and coordinated functionality across platforms.
- IterationA single development cycle in an iterative process where software is built, tested, and refined incrementally to improve quality and functionality over time.
