Apache JMeter is a free, open-source tool favored for its cost-effectiveness despite potential additional integration or infrastructure expenses.

Users evaluated various tools, choosing JMeter for cost and reliability, noting NeoLoad and LoadRunner's licensing issues, and limited flexibility with Postman and SoapUI.

Apache JMeter is stable but may require optimizations for high loads; expert users find it more reliable.

Apache JMeter aids performance testing with ease of use, cost efficiency, protocol support, CI/CD integration, and plugin enhancements.

{"quote":"Monetary benefits with Apache JMeter are notable as it doesn't require a licensed version, whereas BlazeMeter involves costs.","score":"8"}

{"quote":"Monetary benefits with Apache JMeter are notable since it doesn’t require a licensed version.","score":"10"}

{"quote":"They can easily view the results and gain valuable insights.","score":"9"}

{"quote":"It's useful for both the person conducting the test and the higher management, like project managers or senior executives, who may not know about the test.","score":"10"}

{"quote":"We just upload the script, and the dashboards are very informative.","score":"9"}

{"quote":"It is very user-friendly.","score":"8"}

{"quote":"With BlazeMeter, you can view the results in real-time.","score":"9"}

{"quote":"While using Apache JMeter, we are unable to view the graph while the test is running because it consumes resources, which is a drawback.","score":"8"}

I found Apache JMeter to be user-friendly with informative dashboards that are easy for anyone, even without prior knowledge, to understand. It's cost-effective as no license is needed, though real-time graph viewing during tests is lacking compared to BlazeMeter.

Many had previously used LoadRunner, NeoLoad, LoadUI, BadBoy, Grinder, and Micro Focus LoadRunner. Others worked with Postman, Katalon, SoapUI, and SmartBear. LoadRunner and NeoLoad were highlighted for their functionality, though cost was an issue. JMeter was chosen for being open-source and cost-efficient. Some found LoadRunner's reporting more comprehensive, while Postman was noted for user-friendliness. Migrating to Apache JMeter was often due to budget considerations and accessibility.

<p>Apache JMeter surpasses its competitors by offering comprehensive testing capabilities, such as robust scripting, extensive protocol support, and seamless scalability, making it a powerful tool for performance and load testing in various environments.</p>

Apache JMeter is an open-source tool offering no licensing or setup costs, making it a cost-effective choice for enterprises. Users emphasize its free availability under Apache License 2.0 and find it highly beneficial for small-scale projects. While operational costs may arise from infrastructure or cloud services like BlazeMeter, JMeter remains a budget-friendly alternative to pricey options like LoadRunner. Organizations appreciate its extensive plugin community and its suitability for diverse testing needs without incurring licensing fees.

<p>Apache JMeter is a free open-source tool offering economic benefits and extensive support for API, database, and MQ testing. It integrates with tools like Jenkins for CI/CD pipelines and manages load tests effectively. Despite its robust features, improvements are needed in reporting, documentation, and scalability. High resource usage poses challenges for large-scale tests, requiring enhanced integration and automation capabilities for efficient use by tech buyers.</p>

<p>Apache JMeter could use improvement in reporting, as generating reports in PDF format requires a lot of customization.</p><p>Automation is difficult in Apache JMeter, requiring manual actions and lacks a framework for autocorrelation or parameterization.</p><p>Apache JMeter struggles to handle high loads beyond certain thresholds, which may lead to resource consumption issues.</p><p>There are challenges with integration and the need for better support with CI/CD tools and authentication processes.</p><p>The documentation for Apache JMeter is not comprehensive, making it difficult for newcomers to find answers and utilize features effectively.</p>

Many teams handled Apache JMeter deployment in-house without needing external help. Typically, one to two people are sufficient, and tasks are completed quickly, often within a few hours. Performance test engineers and company technicians commonly manage implementation. Maintenance requires minimal personnel, and in-house capabilities can efficiently handle setup and ongoing management. Some organizations have dedicated teams for managing and installing scripts, ensuring proper setup and execution of load, stress, and endurance tests.

Apache JMeter's initial setup is generally seen as straightforward and quick, often taking between 15 minutes to an hour depending on user expertise. Many found the process easy with adequate documentation aiding the setup, while a few noted complexities when dealing with more advanced configurations or when integrating into distributed systems. Most users highlighted that following documentation and having technical knowledge, especially in Java, can significantly streamline the setup process.

Apache JMeter relies on community support rather than official support. Users note the large, active community as beneficial for resolving issues, primarily through forums and online resources. There is no dedicated customer or technical support from Apache, as JMeter is an open-source tool. Some users mention longer response times compared to commercial tools. Despite the lack of formal support, users generally find the community support sufficient for their needs.

Apache JMeter's customer service and support are rated predominantly positive, with an estimated range of 7 to 9 out of 10.

Apache JMeter offers a strong ROI by being scalable, plug-and-play with CICD processes, and reducing licensing costs. Its performance testing capabilities are often favored for frequent application use, handling thousands of users efficiently. Users have experienced increased returns compared to HP Performance Center with a notable reduction in investment required. Maintenance costs are low, allowing use on lightweight applications. Being a free tool, it is cost-effective for web protocols without a direct investment.

Majority utilize Amazon Web Services (AWS) for Apache JMeter, indicating a strong preference towards this cloud provider. Microsoft Azure follows, with a significant but lesser number opting for its services. Some also consider other providers, although this group is comparatively small. The data reflects a dominant inclination towards AWS, while Azure maintains a notable presence. This distribution suggests variations in cloud platform choice among users, with AWS being the most frequently selected.

Users advise others considering Apache JMeter to verify their specific needs and ensure thorough planning due to its steep learning curve. They recommend distributing load testing and understanding protocols, as JMeter is highly customizable with many plugins. Practitioners emphasize leveraging community resources and tutorials for guidance. While JMeter excels in performance testing, it is not ideal for all applications and requires knowledge of manual testing concepts. Its open-source nature and ease of use make it popular among users.

A majority are using Apache JMeter on-premises, with public cloud deployments being quite common. Several utilize hybrid cloud setups. Private cloud is also selected by some. Among these configurations, on-premises is the preferred choice, while public cloud instances are significantly represented. Hybrid cloud approaches are moderately chosen. Despite the popularity of on-premises, both private and public cloud solutions are considered by various users, indicating diverse deployment preferences.

Apache JMeter is mostly stable, but users report instability with high concurrent users or long-duration tests. Stability may vary with updates, resource configurations, and the number of threads. Some users note occasional crashes or need for adjustments when running with high loads. Experienced users find it reliable, appreciating its scalability. A consistent problem-solving community supports users effectively when challenges arise. Users often rate JMeter's stability between seven to ten out of ten.

Apache JMeter faces challenges with SSL recording, dynamic element handling, and session management. The interface is complex, making scripting and automation difficult. High resource consumption limits scalability under heavy loads. Report generation lacks clarity and customization, while memory usage during tests causes crashes. Integration with CI/CD tools needs improvement. Documentation, support for various protocols, and user-friendliness of the GUI require enhancements. It struggles with large-scale loads and lacks comprehensive plugin support for modern testing needs.

Users have used Apache JMeter for a range of a couple of weeks to around 15 years.

<p>Apache JMeter is open source, eliminating licensing costs and providing extensive community support and plugins.</p>
<p>It offers functionality for API testing, database testing, and MQ testing with ease.</p>
<p>Integration with Jenkins and extensive reporting features enhance its utility for users.</p>
<p>A vast array of features like report generation and CI/CD integration makes Apache JMeter competitive with other paid platforms.</p>
<p>Apache JMeter is user-friendly, making it accessible to users with limited programming knowledge.</p>

Apache JMeter offers a user-friendly interface and platform independence. It is a free, open-source tool enabling performance testing, API testing, and extensive scripting flexibility. Users appreciate its integration with CI/CD pipelines, Jenkins, and various plugins. JMeter handles high transaction rates effectively, offers detailed reporting, and allows easy test configuration even for those with limited programming skills. The large community and extensive documentation provide valuable support and resources.

Apache JMeter is primarily utilized for performance testing, including load, volume, and stress testing, across diverse environments such as web applications, APIs, and databases. Users leverage JMeter's capabilities for testing website performance, API interactions, and simulating user behavior, often integrating it with continuous integration pipelines. It's favored for its cost-effectiveness, open-source nature, and adaptability, accommodating various deployment models to manage both high and low-end performance scenarios effectively.

Apache JMeter offers scalability, particularly when using distributed testing and additional agents. While it can manage thousands of users, optimal performance may require cloud integrations like BlazeMeter for high loads. Users have noted its efficiency in various setups, although managing and configuring for larger scales can be complex. Organizations find it versatile for small and medium testing needs, but some see limitations at high thresholds, requiring server adjustments or alternative tools for larger requirements.

Users considered NeoLoad, LoadRunner, Silk Impact, BlazeMeter, SoapUI, Postman, Visual Studio, and Load Balancer. JMeter was preferred for its cost, open-source nature, and reliability. More network functionalities were noted in NeoLoad and Load Balancer. Decisions were influenced by customer needs and licensing. Other options like K6, Locust, Epic, SmartBear, Micro Focus, Cavisson NetStorm, and Bluehost were reviewed. Comparative reliability and pricing structure made JMeter suitable for some users.

Apache JMeter helps organizations simulate heavy load scenarios, identify performance bottlenecks, and evaluate upgrades. Users benefit from cost-saving open-source access, strong community support, and a user-friendly interface. It allows handling of build changes, detailed metric analysis, and comprehensive protocol support. JMeter streamlines testing processes within CI/CD pipelines, integrates easily across different networks, and provides valuable insights into response times and resource allocation, enhancing performance without requiring significant financial investment. It supports API testing and facilitates robust test automation.

7.5

Users chose Wiz over competitors for its superior visibility, ease of use, and fewer false positives.

5.2

Various teams, including DevOps and TechOps, achieved swift integration with Wiz, supported by Wiz account managers and VARs.

Wiz offers a seamless setup, quick insights, minimal maintenance, and is often easier than alternatives like Tenable.

{"quote":"Wiz is a very powerful product technologically.","quality_score":"7","sentiment_score":"8"}

Wiz users primarily choose AWS and Microsoft Azure for cloud services, but also show varied preferences for other providers.

Most participants prefer Public Cloud for Wiz deployment, with fewer choosing Hybrid or On-premises models.

7.5

Organizations use Wiz for cloud security management, threat intelligence, compliance, and seamless integration with tools like ServiceNow and Azure DevOps.

Wiz support is highly rated for responsiveness, knowledgeable staff, and effective communication, despite initial contact and resolution time challenges.

8.666666666666666

Wiz is praised for its scalable SaaS capabilities, adapting automatically to various demands, with minor cost management challenges.

Wiz offers risk prioritization, contextual visibility, and agentless scanning to enhance vulnerability management, efficiency, and remediation strategies.

Before choosing Wiz, understand needs, compare with competitors for its risk prioritization, ease, integration, and security management.

Wiz needs enhanced remediation, logging, executive reporting, customizable dashboards, integration, cost efficiency, and improved network visibility.

Wiz improved asset management, simplified security tools, reduced costs, enhanced cloud monitoring, and boosted proactive security measures.

Wiz has been used by users for durations varying from four months to nearly four years.

{"quote":"As of now, everything is good.","score":"6"}

Wiz's pricing evolves with feature-based tiers, offering value in security but raises concerns about cost and transparency.

{"quote":"We still get support for at least a month by default after implementing any tool.","score":"8"}

Wiz is mostly stable, with resolved issues and high user satisfaction, despite minor login and alert discrepancies during implementation.

Wiz was chosen for its user-friendly interface, risk identification, and cost-effectiveness over other cloud security solutions.

Wiz enhanced cloud security visibility with agentless operation, prioritizing risks, improving compliance, and streamlining issue detection and resolution.

{"quote":"It is user-friendly, and most of the integrations and configurations are straightforward.","score":"8"}

{"quote":"Our requirement is related to the CNAPP solution, which is a cloud-native application protection platform.","score":"8"}

{"quote":"Wiz is a very powerful product technologically.","score":"9"}

<p>Wiz integrates vulnerability management, discovery, and inventory, offering rapid analytics for cloud environments. It enables quick identification of security issues with easy installation and robust features. While Wiz excels in alerting for data leaks and vulnerabilities without scheduled scans, it requires enhancements in remediation workflow, API maturity, and container security. The absence of an on-prem version limits some users, and high costs in Brazil pose challenges for large implementations.</p>

I primarily use Wiz as a cloud-native application protection platform due to its powerful technology and user-friendliness. While previously working with Check Point, I switched to Wiz for application and cloud security, comparing it with Orca and other solutions.

Before using Wiz, various alternatives were considered. Several entities utilized Orca Security, Prisma Cloud, Aquasec, Rapid7, Lacework, Tenable, and Qualys. They noted difficulties with false positives, operational challenges, outdated technology, and lack of support from previous options. Wiz impressed with ease of deployment, better visibility, and effective alerting. Entities appreciated Wiz for its actionable alerts, feature updates, simplified processes, and superior capabilities, leading them to prefer Wiz over other previously utilized technologies.

Enterprise buyers found Wiz's pricing model generally fair and comparable to competitors, though some advanced features can be costly and confusing. Initial deals for early adopters were favorable, but future pricing changes raise concerns. Some users highlight Wiz as expensive compared to competitors like Lacework. While pricing is based on resources and features, transparency and clarity need improvement. Credits are available for selecting specific features, and users appreciate the agentless model for efficient onboarding.

<p>Wiz surpasses its competitors by offering comprehensive cloud security solutions with real-time risk detection, seamless integration, and an intuitive user interface that empowers organizations to efficiently protect their infrastructure and data from modern cyber threats.</p>

<p>Wiz's reporting capabilities and executive summaries could be improved to provide clearer and more concise information for leadership.</p><p>The remediation workflow and scan frequency within Wiz need enhancements for better efficiency.</p><p>The APIs offered by Wiz are limited, posing challenges for integration with tools like Splunk.</p><p>There is an issue with search functionality in Wiz being case-sensitive, complicating resource misconfiguration detection.</p><p>Wiz's lack of an on-prem version is a barrier for enterprises with substantial on-premise workloads.</p>

Wiz's implementation team is highlighted for being efficient and supportive. Companies often handle setup internally, sometimes using API integration through VAR services. Engineers from security, DevOps, and infrastructure frequently collaborate for deployment, which can be completed quickly, sometimes in less than a week. External assistance from Wiz's account managers proves beneficial. Consultants appreciate smooth onboarding experiences, aided by Wiz's support team, which enhances efficiency and communication.

Users describe Wiz's initial setup as straightforward and seamless. It integrates across multiple public clouds with minimal effort, often completed within hours or a few weeks for complex deployments. Many found significant value early on, with easy visibility into cloud assets and issues. It requires little to no maintenance, and technical support is praised for its effectiveness. The deployment often involves minimal personnel, and automation is well-supported for tasks like scanning and compliance.

Wiz customer service and support are highly rated, with users praising accessibility to account representatives and quick technical assistance. They transitioned from a chat app to Zendesk, improving the experience. Having Slack channels with account teams enhances support. While initial response times are fast, users note varying resolution times. Users recommend more public documentation access. Century Data's engineering team provides local support in Brazil. Overall, users find communication and support excellent.

Many express satisfaction with Wiz's return on investment, highlighting asset management, vulnerability identification, and real-time analysis as major benefits. It consolidates multiple tools, which reduces costs by 35-50%. Adoption is ongoing, but value is evident in simplifying compliance and improving security posture. Operational impact is notable with fewer resources needed for tasks like malware detection. Despite challenges with high costs in Brazil, users recognize significant financial and operational advantages.

<p>Wiz provides a contextual risk evaluation that helps in prioritizing and addressing issues such as misconfigurations and vulnerabilities.</p>
<p>Wiz combines features like vulnerability management, discovery, and inventory into a single platform which enhances visibility and comprehension across all cloud systems.</p>
<p>Wiz offers instant visibility into high-level risks that need addressing and integrates coverage for all accounts through APIs without requiring agents.</p>
<p>Wiz enhances security by providing timely alerts for leaked data and vulnerabilities, and keeps information up-to-date automatically.</p>
<p>Wiz helps in understanding and mitigating potential attack paths by analyzing and validating network configurations and their real-time statuses.</p>

Wiz's customer service and support can be rated between 8 and 9 out of 10.

Many prefer Amazon Web Services for Wiz, with a selection also choosing Microsoft Azure. A few opt for alternative options beyond these two. Preferences are split between AWS and Azure, highlighting the popularity of both platforms among users of Wiz.

The majority of users employ Wiz in a Public Cloud environment, highlighting its popularity for this deployment model. A smaller segment utilizes an On-premises setup. Hybrid Cloud is chosen by a few, suggesting a preference for combining both Public and On-premises elements for their strategic needs. Overall, Public Cloud emerges as the dominant choice among these deployment models, while On-premises and Hybrid Cloud have lesser representation.

Users advise others to prioritize understanding cloud environment needs before implementing Wiz. They highlight its capabilities in risk prioritization, ease of integration, and minimal false alerts. Many recommend running a trial to evaluate its benefits firsthand. Consolidating tools through Wiz can streamline operations and support prioritizing significant concerns. The majority applaud its user-friendly interface, enhanced visibility, and benefits for organizations lacking security infrastructure, with many rating it highly for its efficiency and comprehensive security features.

Wiz exhibits high stability, receiving consistent praise for its reliable performance. Users have noted previous minor issues, such as timeouts and login challenges, but highlighted quick resolutions. No recent downtime has been observed, and slow loading has ceased. Downtime mainly results from scheduled maintenance, with pre-notification provided. Users consistently rate stability highly, often around eight to ten. Minor discrepancies due to new policies were swiftly addressed, ensuring seamless functionality during ongoing implementation assessments. Stability is a standout feature of Wiz.

Wiz requires enhancements in reporting, making dashboards customizable, and improving API integration. Improvements in managing vulnerabilities, integrating logging, refining risk assessment, and executive reporting are needed. The implementation of alert profiles for threat indications is suggested. Security functionalities for Kubernetes require expansion. Email notifications for connector issues would be beneficial. Enhancing container security and internal network visibility is important. Managing multi-platform tenants and improving scanning frequency are also areas to consider. Wiz isn’t cost-effective for some users.

Wiz's most valuable features include its ability to contextualize vulnerabilities, prioritize risk, and provide comprehensive visibility. The Security Graph, CSPM, and agentless scanning are highly praised. Users appreciate its ease of use, quick installation, and the granular view it provides of risks and threats within systems. The platform's integration capabilities and intuitive dashboards also stand out, enhancing operational efficiency and collaboration across teams, reducing false positives, and aiding effective vulnerability management.

Wiz is widely employed for cloud security posture management, identifying vulnerabilities, misconfigurations, and risk combinations in various cloud environments like AWS, Azure, and GCP. Users benefit from agentless deployment, visibility into security issues, resource tracking, and comprehensive vulnerability data collection. Many integrate Wiz with existing tools like ServiceNow, Azure DevOps, and Jira to automate issue tracking. The platform aids in monitoring cluster security and easing compliance, facilitating cross-functional team access to security findings.

Wiz has been used by users for a period ranging from four months to nearly four years.

Wiz scales effortlessly, with users noting its seamless integration in cloud environments and ability to handle substantial demand. Many rate its scalability highly, recognizing that it supports diverse organizational needs. Some mention potential challenges in cost management but emphasize its success in adapting to expanding infrastructures. Though there may be a few challenges in remediation workflows, users find its cloud-based structure advantageous, minimizing concerns about back-end management. It suits both small and large enterprises.

Users looked into Aqua Cloud Security Posture Management, Prisma Cloud, Orca Security, Ermetic, and Insight Cloud SEC. Wiz was favored for its user-friendly interface and effective risk prioritization. While Prisma Cloud was expensive, Tenable underperformed. Wiz provided a balanced approach with transparency and organization, unlike Aqua which faced cohesion issues. Companies appreciated Wiz for delivering a consolidated management view. Although Rapid7, Lacework, and Datadog Security were considered, Wiz was selected after testing.

Organizations using Wiz have experienced increased visibility into cloud environments, reducing blind spots in risk detection. Users appreciate the agentless integration, which facilitates quick deployment and minimizes overhead, while consolidating security tools into a single platform helps prioritize and remediate vulnerabilities efficiently. Enhanced responsibility and awareness among teams are evident. Wiz aids organizations in compliance, scalability, and strategic issue management, allowing for improved security operations without increasing staff count.

8.5

{"quote":"The external service management tool has helped discover over 6,000 assets that were previously discovered.","quality_score":"8","sentiment_score":"9"}

7.5

8.75

Users switched to Qualys CSAM for superior inventory, usability, real-time monitoring, and integration, enhancing cybersecurity management and confidence.

{"quote":"This action provides a complete overview of vulnerabilities and support statuses, offering valuable insights for both IT management and cybersecurity purposes.","score":"10"}

{"quote":"To gain comprehensive visibility and reporting within the policy, new users should deploy the agent.","score":"9"}

Qualys CyberSecurity Asset Management implementation requires minimal staff, primarily involves manual tagging, and partners with Qualys for integration.

{"quote":"Qualys CyberSecurity Asset Management does not require maintenance on our end.","score":"8"}

{"quote":"The Qualys CAPS service requires further exploration and improvement, particularly in its handling of protocols and reactivity with MAC and IP addresses for CAP agents.","quality_score":"7","sentiment_score":"2"}

7.75

{"quote":"I would rate Qualys CyberSecurity Asset Management ten out of ten.","quality_score":"9","sentiment_score":"10"}

Users prefer Qualys CSAM in Public and Hybrid Clouds, with several opting for On-premises; Public Cloud is most common.

Deploying Qualys CyberSecurity Asset Management is easy for VMDR users; expert help, integration, and documentation aid complex setups.

Qualys CSAM receives high praise for responsive, knowledgeable support, despite occasional delays when queries require redirection to other teams.