AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

List of Apache JMeter Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Agilysys Professional Services 2200 $276M United States Apache Software Apache JMeter Application Performance Management 2018 n/a
In 2018, Agilysys implemented Apache JMeter for Performance Testing to support QA activity for the DataMagine document management product. The engagement established Apache JMeter as the primary tool for API recording and replay, load scenario execution, and response time validation across release and regression cycles. Functional workstreams combined performance scripts with automation frameworks, with performance recordings captured via BlazeMeter and executed in Apache JMeter. Automation development used Selenium WebDriver with a Page Object Model pattern and TestNG for orchestration, while development artifacts and test code were managed in Eclipse and GitHub. Integrations targeted integration testing touchpoints such as ID Scan, Signature Capture, and Eforms, where upstream data is consumed and indexed into DataMagine, allowing combined functional, integration, and performance validation. Operational scope was centered on the Agilysys Quality Assurance organization executing functional testing during initial release phases and regression testing across impacted modules. Governance focused on test scenario analysis, selection of test cases for automation, identification of XPaths and element locators for WebDriver scripts, and arranging test suites under TestNG for repeatable execution. Apache JMeter was integrated into existing QA processes to provide structured Performance Testing capability alongside the automation framework used by on-site teams in Chennai.
Autonet Insurance Insurance 1300 $206M United Kingdom Apache Software Apache JMeter Application Performance Management 2019 n/a
In 2019 Autonet Insurance deployed Apache JMeter as part of its Digital QA tooling to introduce systematic load testing into sprint cycles. The engagement aligns Apache JMeter with the company quality assurance program and situates performance testing alongside functional and API test activities within the same QA practice. The implementation leveraged Apache JMeter for load and stress test plans targeting API endpoints and backend transaction workflows, with test profiles authored and maintained by the QA team. Test artifacts included JMeter test plans and scripts that were executed during sprint-based regression and performance windows, and the team retained manual database validation and acceptance test plans to complement automated scenarios. Operationally the JMeter implementation was integrated into a broader test ecosystem, where API functional testing was performed using POSTMAN, frontend automation used C# Selenium WebDriver, Lighthouse batch reporting was produced using NodeJS, and defects identified during JMeter runs were logged and tracked in JIRA. The scope of activity referenced Stoke-on-Trent based QA operations and included on-site testing coordination, with QA work conducted within Agile scrum teams and progress reported to the scrum master. Governance centered on sprint-level orchestration, maintaining automated test profiles, and incorporating JMeter test runs into existing defect and acceptance workflows. Apache JMeter was positioned as the performance testing component of Autonet Insurance Digital QA, operating alongside functional frameworks and manual testing to provide an integrated quality assurance capability.
Clearwater Analytics Professional Services 3000 $731M United States Apache Software Apache JMeter Application Performance Management 2020 n/a
In 2020, Clearwater Analytics integrated Apache JMeter into its QA toolset to formalize Performance Testing across sprint-based delivery. The deployment centered on performance and regression validation within the QA organization operating out of Noida, Uttar Pradesh, India, working in a hybrid delivery model. Apache JMeter was used to design and execute load and API performance test plans, while Selenium WebDriver and Postman supported functional and API automation. Test artifacts were defined, maintained and executed through JIRA, encompassing manual, automation, regression and performance test scripts, with JMeter serving as the primary Performance Testing engine for API and web application stress scenarios. Operational coverage included monitoring Grafana and New Relic dashboards to surface anomalies and performance regressions, as well as end to end scenario validation that incorporated Informatica workflow testing and running TWS jobs using the IBM workload scheduler. QA engineers coordinated testing tasks with developers and business partners, and the toolset was applied to both API and web application testing workflows. Governance and process changes emphasized defined test plans, regular status and results reporting, and cross team coordination and mentoring of QA analysts. Outcomes recorded by the team included delivering three to four user stories per two week sprint, testing API performance with a reported reduction in average response time, and reducing manual regression effort by building an automation regression suite for web applications.
Comarch Professional Services 6500 $565M Poland Apache Software Apache JMeter Application Performance Management 2020 n/a
In 2020, Comarch SoftM implemented Apache JMeter to support performance validation of its Loyalty Cloud platform and related Java EE services. The work is categorized under Application Performance Management and was executed by R&D and QA teams responsible for systems serving worldwide customers, integrating Comarch SoftM Apache JMeter Application Performance Management into development and support workflows. Apache JMeter test plans were developed to exercise HTTP endpoints, SOAP webservices, and backend batch processing paths, reflecting the companys Java, Weblogic, and Tomcat runtime stack. Apache JMeter was configured for scripted load scenarios, concurrent user emulation, and response time and throughput measurement, and these test artifacts were integrated into automated test suites and Maven based build processes to enable repeatable performance checks. The implementation targeted explicit integrations with webservices and middleware that interact with Oracle databases and Mule integrations as part of Loyalty Cloud interfaces, enabling end to end performance validation across service and database layers. Operational ownership rested with the R&D department and 3rd line support teams, who used JMeter test artifacts for performance tuning, logs analysis, and reproducing production like scenarios. Governance emphasized embedding Apache JMeter into release verification and regression testing cycles, with test plan versioning alongside application code and automated execution tied to the build pipeline. The configuration focused on repeatable scenario orchestration and developer owned performance troubleshooting, aligning Application Performance Management practices with existing development and support processes.
Coupa Software Professional Services 3400 $969M United States Apache Software Apache JMeter Application Performance Management 2020 n/a
In 2020, Coupa implemented Apache JMeter for Application Performance Management to formalize performance and load testing within its engineering organization. Apache JMeter was adopted to exercise HTTP and REST API endpoints and to emulate concurrent user and service-level load across microservices that power Coupa applications. The implementation centered on reusable test plans and scripted scenarios, with Apache JMeter test plans used as the canonical performance artifacts. Configuration included parameterized test scripts, distributed load generators for scaled execution, and result aggregation for throughput and latency analysis, enabling repeatable performance validation as part of the test automation lifecycle. Operational scope covered Coupa Quality Engineering and Software Engineering teams, with ownership originating in the San Mateo, United States engineering organization and extending across test automation and quality practices. Governance introduced formal test planning, performance test case authoring standards, and a cadence for scheduled performance runs to ensure consistency of load testing across services. Coupa Apache JMeter Application Performance Management efforts emphasized embedding performance testing into release workflows and quality gates, aligning test automation, test planning, and engineering ownership to manage service-level behavior under load.
Professional Services 445 $123M Australia Apache Software Apache JMeter Application Performance Management 2020 n/a
Professional Services 3873 $634M United States Apache Software Apache JMeter Application Performance Management 2018 n/a
Professional Services 1470 $223M United Kingdom Apache Software Apache JMeter Application Performance Management 2022 n/a
Professional Services 6000 $621M United Kingdom Apache Software Apache JMeter Application Performance Management 2022 n/a
Professional Services 530 $218M Switzerland Apache Software Apache JMeter Application Performance Management 2010 n/a
Showing 1 to 10 of 26 entries

Buyer Intent: Companies Evaluating Apache JMeter

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Apache JMeter. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Apache JMeter for Application Performance Management include:

  1. Adani Group, a India based Utilities organization with 46000 Employees
  2. Cambridge University, a United Kingdom based Media company with 6560 Employees
  3. Royal Canadian Mounted Police, a Canada based Government organization with 30558 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

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FAQ - APPS RUN THE WORLD Apache JMeter Coverage

Apache JMeter is a Application Performance Management solution from Apache Software.

Companies worldwide use Apache JMeter, from small firms to large enterprises across 21+ industries.

Organizations such as Qantas, Maybank, IFS, Coupa Software and Freshworks (formerly Freshdesk) are recorded users of Apache JMeter for Application Performance Management.

Companies using Apache JMeter are most concentrated in Transportation, Banking and Financial Services and Professional Services, with adoption spanning over 21 industries.

Companies using Apache JMeter are most concentrated in Australia, Malaysia and Sweden, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Apache JMeter across Americas, EMEA, and APAC.

Companies using Apache JMeter range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 30.77%, large organizations with 1,001-10,000 employees - 61.54%, and global enterprises with 10,000+ employees - 7.69%.

Customers of Apache JMeter include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Apache JMeter customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Application Performance Management.