Enterprise organizations face a dilemma: petabytes needed readily available, yet keeping everything on fastest storage is economically unsustainable …

The data gravity problem is overlooked yet shapes fundamental infrastructure decisions. Data gravity applies physics to data: large …

AI training requires massive amounts of diverse data. But that data often includes sensitive personal information subject to …

Data lifecycles are messy. Files are created, accessed frequently for weeks, touched occasionally for months, then neglected for …

Data observability provides visibility into data quality, freshness, lineage, and state throughout its lifecycle. It’s critical for managing …

Data replication is foundational for modern AI systems. It protects against data center failures and enables geographic distribution. …

For decades, enterprise IT teams built backup infrastructure the traditional way: purchased storage arrays, configured replication, maintained on-premises …