Growing Pains with Homegrown Data Management Solution
Webroot relied on a homegrown data management platform to store incoming log data and generate reports. As the number of customers grew and the data size increased rapidly, the homegrown solution was no longer viable. Reports were taking more time due to the complexity of requirements and the way data was structured in the homegrown solution. Meeting customer expectations and service levels was challenging. In addition, strong demand for faster reporting from their customers meant a new architecture to deliver reports quickly and at a much lower cost.
Scouting for the perfect match
At the outset, the Webroot team had latched on to the idea of a Cloud-based solution with a Big Data architecture. There are a variety of Big Data solutions in the marketplace, which meant the opportunity to rapidly evaluate solutions. The key criteria for the solution were – ingest millions of rows of data per day, avoid creating a data access layer, leverage existing SQL tools and resources, and scale out horizontally with commodity hardware. From a business point of view, the new architecture would allow the roll out of new services faster.