This contrasted with the batchprocessing or time-sharing models which allowed larger, more expensive minicomputer and mainframe systems to be used by many people, usually at the same time.
The first successful big data technology was enterprise data warehouses that implement massively parallel processing, scale to the petabytes, handle batch and real-time latencies with equal agility, and provide connectors to structured and unstructured sources.