Extreme Search® Architecture
Match Search Capacity to Data Accumulation
THE CHALLENGE
Modern data is accumulating fast and existing indexing methods scale poorly. CPU-based search methods in traditional architectures are slow and power intensive. Massive data volumes contain sparsely distributed targets of interest and faster identification is essential.
THE SOLUTION
Extreme Search® is integrated directly into modern SSD storage systems, providing near real time access to critical data without network or indexing burden. Self-searching storage systems address the escalating mismatch between information generation and data visibility.
NOVEL ARCHITECTURE
Big Data needs a new kind of search.
Extreme Search® systems integrate blazingly fast search processing directly into SSD storage.
Rapid regular-expression search in storage replaces the high indexing burden, heavy network demands, and massive infrastructure requirements of CPU-based search.
The distributed file system supports single or multiple servers and can be integrated into SIEM and other data management packages. Supported dashboards run substantially faster with Extreme Search® supplying real time access to actionable data.
ADVANTAGE
Extreme Search® only moves targeted data, supporting centralized access for analytics at dispersed data centers.
Extreme Search® self-searching enterprise storage is scalable, requires minimal infrastructure support, and grants rapid, high-resolution access to data. No matter where you need to store it.
APPLICATION
Self-searching storage means search happens locally, where the data is stored. The unique capacity for rapid, local search supports centralized analytics and geographically dispersed data. Predictable results in minutes (not days) support local task automation.