A practical guide for data and infrastructure leaders: why replication and downsampling fall short, and how OpenSharing gives Databricks live access instead.
A full walkthrough: import a share into Unity Catalog, query on‑prem Iceberg and Delta tables live, and watch results return in seconds.
The four kinds of data that never had a path to Databricks — and why zero-copy, storage-layer sharing is the architecture hybrid analytics always implied.
The deep dive. A joint MinIO + Databricks session covering the full technical walkthrough, for teams evaluating a hybrid analytics strategy.
GDPR, HIPAA, residency mandates, and internal policy keep sensitive data on‑premises. AIStor lets Databricks query it there, under your own governance — read‑only, enforced at the storage layer.
At petabyte scale, egress and cloud storage costs force teams to downsample. AIStor skips the copy entirely — nothing moves, so nothing has to be trimmed down.
By the time a batch sync finishes, the data has already lost its value. AIStor queries live, so Databricks is always working from the current state.
