jKool -- Application & Fast Data Analytics Tech Stack

jKool -- Application & Fast Data Analytics uses 8 technology products and services including Twemoji, jQuery Migrate, jQuery, and more. Explore jKool -- Application & Fast Data Analytics's tech stack below.

Twemoji

Font Scripts

jQuery Migrate

Javascript Libraries

jQuery

Javascript Libraries

HubSpot

Marketing Automation

Yoast SEO

Search Engines

Google Analytics

Web Analytics

Apache

Web Servers

prettyPhoto

Web Tools And Plugins

jKool -- Application & Fast Data Analytics's Email Address Formats

jKool -- Application & Fast Data Analytics uses at least 1 format(s):

jKool -- Application & Fast Data Analytics Email Formats	Example	Percentage
FLast@jkoolcloud.com	JDoe@jkoolcloud.com	40%
FirstL@jkoolcloud.com	JohnD@jkoolcloud.com	13%
Last@jkoolcloud.com	Doe@jkoolcloud.com	7%
FLast@jkoolcloud.com	JDoe@jkoolcloud.com	40%

jKool -- Application & Fast Data Analytics Email Formats

Example

Percentage

FLast@jkoolcloud.com

JDoe@jkoolcloud.com

40%

FirstL@jkoolcloud.com

JohnD@jkoolcloud.com

13%

Last@jkoolcloud.com

Doe@jkoolcloud.com

FLast@jkoolcloud.com

JDoe@jkoolcloud.com

40%

Frequently Asked Questions

Where is jKool -- Application & Fast Data Analytics's headquarters located?

jKool -- Application & Fast Data Analytics's main headquarters is located at 48 South Service Road, Melville, New York 11747, US. The company has employees across 4 continents, including North AmericaAsiaEurope.

What is jKool -- Application & Fast Data Analytics's official website and social media links?

jKool -- Application & Fast Data Analytics's official website is jkoolcloud.com and has social profiles on LinkedIn.

How much revenue does jKool -- Application & Fast Data Analytics generate?

As of October 2025, jKool -- Application & Fast Data Analytics's annual revenue is estimated to be $1.8M.

What is jKool -- Application & Fast Data Analytics's SIC code NAICS code?

jKool -- Application & Fast Data Analytics's SIC code is 5045 - Computers and Computer Peripheral Equipment and Software NAICS code is 5112 - Software Publishers.

How many employees does jKool -- Application & Fast Data Analytics have currently?

As of October 2025, jKool -- Application & Fast Data Analytics has approximately 11 employees across 4 continents, including North AmericaAsiaEurope. Key team members include Cto: A. M.Principal Owner: J. G.Human Resources Manager: J. H.. Explore jKool -- Application & Fast Data Analytics's employee directory with LeadIQ.

What industry does jKool -- Application & Fast Data Analytics belong to?

jKool -- Application & Fast Data Analytics operates in the Software Development industry.

What technology does jKool -- Application & Fast Data Analytics use?

jKool -- Application & Fast Data Analytics's tech stack includes TwemojijQuery MigratejQueryHubSpotYoast SEOGoogle AnalyticsApacheprettyPhoto.

What is jKool -- Application & Fast Data Analytics's email format?

jKool -- Application & Fast Data Analytics's email format typically follows the pattern of FLast@jkoolcloud.com. Find more jKool -- Application & Fast Data Analytics email formats with LeadIQ.

When was jKool -- Application & Fast Data Analytics founded?

jKool -- Application & Fast Data Analytics was founded in 2014.

jKool -- Application & Fast Data Analytics

Software DevelopmentUnited States11-50 Employees

jKool Cloud is an elastic, multi-tenant, software-as-a-service (SaaS) solution for analyzing Fast Data such as machine data, logs, transactions, performance, IoT.

jKool is designed to spot the patterns in data that lead to actionable insights. 

We deliver open source data streaming ecosystem @ GitHub and a cloud-based service to provide Application Analytics from streaming machine data. Our technology features streaming, analytics as well as visualization tools to help organizations understand the trends hidden in machine data and immediately apply them to business decisions. 

Often the value hidden in this data is perishable, requiring immediate action before it becomes stale. 

jKool’s near real-time analysis of time-series data is able to capture insight, instantly.

Insights

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