Insightera offers a learning B2B targeting and personalization platform that relies on a combination of big data, machine learning, and predictive analytics. The platform displays content to targeted prospects in real time in order to continuously boost ROI.
The company first turned to Hadoop to manage its big data but found Hadoop to be much too complex and time-consuming to operate.
“We were growing very fast as a startup and needed a way to accelerate our time to value for Hadoop,” explains Mickey Alon, Insightera’s CEO, and Co-founder. “We wanted to focus more on data processing and turning insights into actionable results, and less on the operational side of Hadoop and Amazon S3 for tackling our Big Data integration challenges.”
In order to achieve its goals, Insightera decided to turn to big data as a service solution.
Choosing Qubole Data Service
Insightera chose to use Qubole Data Service for a number of reasons. According to Alon, “We looked at similar offerings but quickly discovered that Qubole offered the most mature solution. The final decision boiled down to choosing between Qubole Data Service (QDS) and Amazon EMR. We selected QDS because it provided a better user experience, auto-scaling, more flexible cloud integration, and a wider selection of training resources.”
With QDS, Insightera was able to avoid expanding its development team by 40%, save 20% in cloud computing costs and utilize resources more efficiently due to higher performance, improved resource allocation, and Qubole’s auto-scaling capacity.
Alon comments, “My team learned how to perform data loading and run queries with QDS in just a few minutes. They became masters in a couple of days.”
