Organizations are faced with storing more and more event information within their environments for a variety of reasons. They need to comply with regulatory requirements, respond to security threats, preserve chain of custody for forensic purposes, as well as capture baseline information about their environment in order to practice due care with respect to information security procedures.

This presents a very real data management dilemma for organizations, regardless of vertical industry. Fortunately, SenSage can solve this problem using its enterprise-class security analytics solution and purpose-built repository and advanced analytics.

SenSage is uniquely differentiated in the following areas:

• High Performance Search - Execute searches in minutes, rather than day-long RDBMS searches.
• High Volume Loading – Keeps pace with enterprise-wide event collection for gigabit class networks; no degradation based on the size of datastore.
• High Volume and Low Cost Storage – Use commodity servers to store highly compressed data without RDBMS licenses.
• High Availability – Ensure business continuity with built-in redundancy and fault tolerance.
• Data Protection – File integrity protection. Data redundancy protects against loss of data in the event of component failure.
• Low Cost of Ownership – Requires no DBA. Data organization is simple and self-tuning.
• Incremental Scalability – Enhance capacity and throughput that evolves with business growth.

From its inception, SenSage designed a high-performance, scalable event log management architecture that is able to collect an enormous amount of complete log data, at high velocity. The extensive log management platform is fully integrates with a broad number of sources. It enables unparalleled precision and long-term search and trending, while significantly saving on storage capacity.

The patented analytic data repository supports available search against highly compressed event logs. Furthermore, clustering technologies provide our customers incremental scalability on load and query throughput, as well as data redundancy and capacity. This scalability is field-proven in some of the largest organizations and accelerates time-to-value through improved productivity and lower total cost of ownership.