jKool, a leading provider of open source technology and a cloud-based service to provide real-time analytics from immense data volumes, has released a new software-as-a-service (SaaS) solution for analyzing Big Data in real time that is designed to spot the patterns in data that lead to actionable insights.
According to jKool, near real-time analysis of time-series data is able to capture insight, instantly. The company intends to introduce paid subscription service that companies can use on a regular basis after an initial preview period.
jKool service which is available at www.jkoolcloud.com, comes with mobile-friendly web dashboard and an English-like query language called JKQL that lets users converse ad hoc with their data and then interact with the visuals on the dashboard. The service provides an open source API, TNT4J, which makes it easy to stream information into the jKool cloud service.
JKool scales transparently, parallelizing natural-language queries in order to quickly reveal cause and effect, correlations between disparate data points, locations, bottlenecks, and outliers that are integral to how businesses perform, according to jKool.
Charley Rich, vice president of product management at jKool
To date, business analytics has been reserved for the largest companies with the biggest budgets and a plethora of experts. jKool offers big data analytics for the rest of us—businesses of all sizes and across industries. We’re inviting everyone to try the service, use its sample data, download the open source API and understand how they can really use their data, not simply save it.
