Read what the analysts are saying about jKool:

 

Building High-Performance Mobile Experiences
Watch for back-end performance problems. When an app runs slowly, everyone is quick to blame the client-side mobile developer. Yet often the answer lies deep within the technology stack supplying data to the app. When creating new (or modifying existing) services for an app, start with a stubbed-out version that responds immediately with fixed, non-computed data. Set a performance guideline based on this use case, and monitor transaction times during the course of development. Alternatively, some teams we interviewed proactively injected long delays in back-end APIs during test runs to ensure their front-end could handle those delays appropriately. Tools are available to monitor these “full-stack” traces as well, such as Nastel jKool.

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Application Performance Monitoring Magic Quadrant
The newer jKool (branded as AutoPilot Insight) SaaS service provides an intuitive natural language-based query builder that can enable non-APM professionals to rapidly analyze
metrics, logs and other transaction data.

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The 451 Take
For companies looking for near real-time analytics of stream data, jKool offers a relatively inexpensive approach that can grow in line with the amount of data the companies are trying to analyze. The firm has spent a lot of time creating a system that is easy enough for non-technical users to get to grips with (after some initial setup by a developer or two) and the as-a-service model has its fans. However, it must be noted that jKool is at the earliest possible stage, having only just been spun out of Nastel, with little in the way of corporate infrastructure and no reference customers.

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Clabby's Observations
“jKool has taken an “cool” approach to performing Big Data analytics on IoT data. Rather than focusing on the data scientist, it is aimed instead on the business user who wants to gain near instant insight from streaming data. With its easy-to-use query language and broad range of capabilities for analyzing and visualizing data, users can easily make data-driven decisions without a huge investment in infrastructure and software licenses.”

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