Most data platforms require you to move files into a central repository first — provisioning storage, planning migrations, managing sync jobs, and maintaining duplicate copies of petabyte-scale datasets. This demo shows a different approach.
With metadata-only ingestion, Tetra indexes your scientific data wherever it lives — instruments, shared drives, LIMS, ELN, cloud storage, and archives. Scientists get a single search interface across all of it. The files stay exactly where they are.
What IT gets
- No storage infrastructure to provision or fund
- No migration project to scope, plan, or execute
- No duplicate copies of large datasets to maintain
- Files stay in existing compliant storage — nothing moves, nothing breaks
- Scientists stop filing tickets asking IT to hunt down data
What scientists get
- One search across every data source — no more checking multiple systems
- Find historical experiments from former colleagues without knowing their folder structure
- Search by metadata across large file types like NGS, mass spec, and imaging
- Stop re-running experiments just because you couldn't find the original data
The bottom line: Your data stays where it is. Discovery gets dramatically easier. IT avoids another migration project.