| History |
| The visual effects industry has been addressing the problem sets associated with the management of large-scale unstructured data (video, audio, binaries, and non-text files) for over twenty years. Virtually every industry is now faced with these challenges as more data is transitioned from an analog to a digital format. The DataFrameworks business model was launched based on observations that many of the large entertainment industry companies were deploying internal software development resources to develop solutions to the problems inherent with managing vast amounts of unstructured data. The fact that these large corporations all had teams focused on developing similar tools to address the management of their unstructured data, indicated a potential market for a commercially available offering. DataFrameworks commenced development of the core solution when a team of software engineers from the visual effects industry was hired, to develop solutions to address the problem of managing the enormous amounts of data characteristic of film industry but quickly becoming a problem across industry verticals. DataFrameworks set out to create a flexible platform that provided adequate structure for end-users working on large-scale projects while maintaining an agnostic view toward underlying storage infrastructure. |
| Corporate Overview |
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| Recent Management Buyout |
| The original business plan for DataFrameworks was authored by Paul Honrud at Baydel, a storage vendor. Baydel funded and the initial development efforts of DataFrameworks, resulting in over a half dozen initial installations. In November 2008, Baydel shut down their North American operations. DataFrameworks, Inc. was established as a stand-alone entity in February 2009. In April 2009, DataFrameworks Inc. officially acquired the Intellectual Property and assets associated with the DataFrameworks technology from Baydel. Customer support was maintained continuously through the transition. |
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