Talk to your data and get answers fast!
jKQL is an English like query and stream processing language for analyzing machine data in flight (Fast Data) and at rest. Use JKQL to analyze anomalies, behavior, flows, relationships and patterns in your data as it relates to your business. The only requirements is that your data must have timestamps.


jKQL can instantly find the relationships in data, here showing the order processing flow.

jKool’s GeoFencing capability is highlighted as jKQL is used to get relationships and display the results on a map. jKool understands latitude and longitude and automatically converts them to locales.
jKql> Get Event for This Month where Location =’London, England’

jKQL is searching for Order events and grouping them by location. We then can drill into these to see the event details

jKQL support comparisons showing in this case only the differences between events. Any one of the events can be designated as the Master and the others are compared to that one.

This query shows how jKool automatically detects anomalies. The Anomaly Chart uses Bollinger Bands and Exponential Moving Averages (EMA’s) to detect anomalies when an event cross either the lower or upper bands.

jKQL is displaying the events that have halted and offering the user the option to analyze them further, show them topologically or compare their attributes.

jKool summarizes events calculating the average, minimum and maximum elapsed times and then buckets them by day.

Find the Payment events with errors and then drilldown to find the root cause.