A high-capacity, cost-effective family of storage solutions designed to manage large data volumes while reducing carbon impact and energy consumption, aligning with sustainability initiatives.

Data lakes separate data storage from compute resources, which makes them more cost-effective and scalable than data warehouses. Organizations can add more storage without scaling …

The data storage layer serves as the foundation of the MDS, providing a centralized environment for managing structured and unstructured data. Organizations can choose from storage …

Data can be recorded and stored in three primary forms: file storage, block storage and object storage. For a deeper comparison of the types of data storage, see “ Object versus File versus …

Accelerate enterprise backup and recovery processes to help retrieve data and recover IT services rapidly with IBM Storage solutions for on-premises and cloud workloads.

To break down data silos, enterprises can build holistic data fabrics by using advanced data integration and data management solutions to bring disparate data stores together in real-time.

A data warehouse aggregates data from different relational data sources across an enterprise into a single, central, consistent repository. After extraction, the data flows through an ETL …

A data lakehouse is a data platform that combines the flexible data storage of data lakes with the high-performance analytics capabilities of data warehouses.

Increased storage costs: Storing redundant copies of data across multiple systems or locations increases storage space requirements. This drives up storage costs, especially in cloud …

IBM Storage FlashSystem are high-speed, all-flash and hybrid flash storage solutions designed to help businesses improve data resilience, modernization efforts and storage efficiency.