Data Management Glossary
Active storage is a data storage approach where frequently accessed or frequently changing data is stored on high-performance storage systems that are readily available for immediate use. This method is commonly used in the context of computer systems, databases, and cloud computing.
The purpose of active storage is to ensure that critical and frequently needed data is quickly accessible, allowing applications and users to retrieve and modify the data with minimal latency. High-speed access to active storage is essential for real-time processing, interactive applications, and any use cases where data needs to be rapidly read or updated.
In contrast, less frequently accessed or less critical data may be moved to less expensive and slower (aka lower-cost) storage tiers, such as archival storage or cold data storage, where retrieval times are not as critical. This tiered storage approach, often referred to as hierarchical storage management, optimizes data storage costs by storing data on the most suitable and cost-effective storage based on its usage patterns and access requirements.
Active storage can be implemented using various technologies, including high-performance disk arrays, solid-state drives (SSDs), in-memory databases, and cloud-based storage solutions designed for low-latency access.
The concept of active storage is closely related to the idea of “hot data” – data that is currently being actively used and requires immediate access. As data usage patterns change over time, data may transition between active storage and other storage tiers based on access frequency, age, or other criteria defined by the data lifecycle management strategy of an organization.
Case study: Pfizer is saving 75% on storage by using Komprise to analyze and continuously move cold data to Amazon S3 as it ages.