

Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability.
I can rate it around eight because I think they are much faster than OpenText or Micro Focus.
APICa is scalable.
For scalability, I can rate Tricentis NeoLoad around three.
When editing scripts, only one can be accessed at a time, risking changes affecting other folders.
The cost increases, especially when I want to generate a load for a global customer with different loads in different regions.
The effect of the new license policy is that NeoLoad becomes more and more unattractive for smaller companies, and only bigger companies are interested or find the license fee fair.
I would probably like to see some new functionalities for Tricentis NeoLoad, such as a converting mechanism.
It is useful for both performance and automation testing, facilitating access to headers and payloads easily, enhancing scripts with dynamic values.
Most graphs can be configured with drag-and-drop, which is handy, and you get graphs suitable for reporting issues.
Tricentis NeoLoad excels at generating different kinds of loads.
I find that my team is using the features at Tricentis NeoLoad most effectively, as my role is to get that data out of the tool, and they do the analysis.
| Product | Mindshare (%) |
|---|---|
| Apica | 0.7% |
| Dynatrace | 5.2% |
| Datadog | 4.6% |
| Other | 89.5% |
| Product | Mindshare (%) |
|---|---|
| Tricentis NeoLoad | 12.0% |
| OpenText Professional Performance Engineering (LoadRunner Professional) | 14.8% |
| Apache JMeter | 9.5% |
| Other | 63.7% |

| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 2 |
| Large Enterprise | 17 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 13 |
| Large Enterprise | 51 |
Apica leads in observability cost optimization, empowering IT teams to control telemetry data economics. Apica Ascent spans metrics, logs, traces, and events, reducing observability costs by 40% compared to traditional solutions.
Apica provides unrivaled flexibility, supporting any data lake with both on-premises and cloud deployment options, eliminating costly tool sprawl through modular solutions. Ascent efficiently handles high-cardinality data and boasts patented InstaStore optimized storage technology and advanced root cause analysis capabilities. Many organizations choose Apica to drive down observability expenses.
What are Apica's key features?Apica is employed across industries for monitoring and synthetic user emulation, providing external visibility into user experiences with applications. It supports infrastructure checks, proactive error detection, synthetic logins, load testing, and performance monitoring. Organizations leverage its capabilities for error checks, geo-protection, and content validation, ensuring IT service and web operation availability and performance globally.
Tricentis NeoLoad is designed for performance and load testing, allowing teams to collaborate effectively, even across different locations. Its user-centric interface supports various protocols and seamlessly integrates with tools like Jenkins and Tableau.
Tricentis NeoLoad streamlines performance testing by offering an adaptable environment for distributed teams. The tool is noted for its comprehensive analysis capabilities, user-friendly interface, and support for mobile and cloud testing. It also provides cost-effective scalability compared to competitors such as LoadRunner. However, areas for improvement include enhanced protocol support, interface and reporting upgrades, and better integration with CI/CD pipelines. Users have noted stability issues with large projects and challenges with concurrent script editing. Enhancing customer service, licensing options, and documentation could further improve user experience.
What features make Tricentis NeoLoad stand out?Tricentis NeoLoad is primarily utilized in web application and SAP GUI testing, focusing on performance in QA and production settings. It supports real-world simulation for web services and APIs, proving especially beneficial in industries demanding robust system behavior monitoring and application scaling. Catering to on-premise and SaaS deployments, it integrates into CI/CD pipelines, enhancing testing efficiency across sectors.
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