The last decade saw explosive growth in enterprise migration to the cloud, a trend driven by the promise of lower overhead costs and greater scalability. Given this, many have made the leap and moved both non-mission-critical workloads and mission-critical functionality into the cloud.
This is where “data gravity,” a phrase coined by Dave McCrory comes into play. Data gravity is the “effect that attracts large sets of data or highly active applications/services to other large sets of data or highly active applications/services, the same way gravity attracts planets or stars.” So, in the simplest terms, data gravity is the idea that increasing volumes of data can cause data to function like an anchor, making it increasingly difficult to move as the data in question continues to increase.