Creating massive PB experimental data sets? Responsible for archiving research for future generations? Managing a trusted digital repository for your institution? Running scientific applications against archive data?

It is a significant task to make data reproducible for the future, ensuring relevant access, indexing, discoverability, and removal as needed, all while adhering to relevant ISO and data standards.

When that data is required to be restored from cold storage, workflow delays can be frustrating, and egress/restore fees can be an unpleasant surprise.

If you are archiving vast amounts of data (for genomics or to train ML models, for example) you can now avoid the complexities of on-premise hardware and facility management while benefiting from the lowest cost cloud-based cold data storage, all with a familiar S3 Glacier interface.

Archive data on Cloud Cold Storage, and we won’t charge retrieval or egress fees, and we’ll be streaming your data back in minutes, not days.

See how easy it is to add Cloud Cold storage to your archival/preservation workflow.