Log Data Management And Analytics Startup Sumo Logic Raises $15M From Greylock And Others
Sumo Logic, a startup focused on enterprise log management and analytics, has raised $15 million in Series B funding round led by Sutter Hill Ventures, with participation from previous investors Greylock Partners and angel investor Shlomo Kramer. The new funding brings the startup’s total venture capital backing to $20.5 million.
Today, Sumo Logic emerged from stealth to unveil its log management and analytics platform, aiming to help companies to uncover operational and security insights buried in enterprise log files. The startup was founded by ArcSight veterans Christian Beedgen and Kumar Saurabh in 2009, to provide a cloud based system for managing the massive amounts of enterprise log data.
similar to other cloud based data management offerings, Sumo Logic wants to eliminate the need for expensive on premise-based log management applications. Using algorithms, the service provides enterprises with operational and security insights from their log data in real time, at a massive scale. We’re told the service can analyze petabytes of log-data a day.
Sumo Logic’s architecture features an elastic petabyte scale platform that collects, manages and analyzes enterprise log data, reducing millions of log lines into valuable operational insights in real time. The cloud-based service is powered by Sumo Logic’s Elastic Log Processing, which is a scalable architecture that enables log analytics at a large scale; and LogReduce, which are a set of adaptive algorithms that reduce millions of logs into a small number of patterns.
The platform also features real-time interactive forensics and push analytics to provide proactive detection and notification of trends, changes and anomalies in data. Sumo Logic’s service also mines global trends and anomalies across customer organizations.
As Beedgen explains, there is a major opportunity behind providing a cloud-based alternative to log management because enterprises have real problems managing and analyzing log and machine data. He says existing products can suck in data but have poor analytics and data analyzation with too many false positives.
Sumo Logic has an innovative approach, he says, because it provides a scalable elastic architecture, applied machine learning for IT intelligence, and the horsepower to process massive amounts of IT data.
The new funding will be used towards expanding engineering and marketing. Sumo Logic faces competition from Splunk, which just filed for an IPO.
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