Enterprises in 2020 look nothing like enterprises in 2002 – so why should their data discovery technologies look the same?
In 2002, an enterprise data landscape consisted of a mainframe, SQL-server, file-share and email. Fast-forward to 2020, and enterprise data landscapes include all sorts of systems from data warehouses, to data pipelines, to data lakes, to noSQL, to cloud and more.
Traditional data classification or catalog products only provide a small window into a modern data landscape since they only support a small number of different types of data stores – but in the last few years, privacy regulations require organizations to find sensitive and personal data everywhere.
BigID therefore broke down the silos and remains the first and only data discovery technology to look across any data source or pipeline, in the data center or cloud. With BigID, organizations can find sensitive, privileged and personal data anywhere inside a modern enterprise.
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