Self-searching storage is search-optimized processing located near SSD storage that scans data faster and at lower power than CPU search, without moving data across networks.

Search requests can be local or remote.  Automated searches complete predictably in minutes, supporting reliable scheduling.  Data movement into core for analytics can be prioritized to actionable data files, reducing network demands.  Search capacity is integrated with SSD storage and increases linearly with data so search time stays minutes, even with increasing data volume.

Extreme Search® self-searching storage products from Lewis Rhodes Labs complete full content, regular expression search of up to petabytes of data in storage in minutes.  Search speed does not slow for data type or query complexity.  Data ingests rapidly into storage files with no indexing burden.