Datadog vs. Tricentis NeoLoad

Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.

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While Tricentis NeoLoad supports SAP GUI protocols, recording and maintaining test scripts for complex SAP transactions (like those in the OTC module) can be cumbersome.


For instance, we had challenges recording a VA01 (Sales Order Creation) transaction because of the dynamic nature of SAP screen fields and session handling. NeoLoad sometimes struggles to properly correlate or handle SAP’s SAPGUI Dynpro fields automatically.

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• The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
• Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
• Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.

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• With Tricentis NeoLoad, we have control on the test dynamically. One can alter user count/volume even when test is in progress. This makes it a very cool tool as you can avoid running multiple tests eventually saves a lot of time.
• Tricentis NeoLoad user paths are very well structured. End points can be identified and tweaked easily especially when a large list of endpoints are part of the neoload project.
• Tricentis NeoLoad results comparison is one of the cool options. We can compare previous tests against the current one to see the exact delta between transaction metrics. This helps in gauging the application behaviour with changes deployed

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• Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
• I would appreciate more supportive examples for how to filter and view metrics in the explorer
• I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame

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• Ease of use: Some users find certain features or aspects of the interface to be confusing or hard to use. Improving the overall usability of the tool could make it more accessible and easier for users to get up and running with it.
• Integration with other tools: Tricentis NeoLoad does not have many integrations with other tools. Adding more integrations with popular tools and platforms could make it easier for users to work with Tricentis NeoLoad as part of their overall workflow.
• Mobile testing: Some users wish that Tricentis NeoLoad had more robust support for testing the performance of mobile applications. This could include the ability to simulate different mobile devices and networks, as well as the ability to test the performance of native mobile apps.
• Cloud support: Tricentis NeoLoad does not have as much support for cloud-based applications and infrastructure. Adding more support for testing the performance of applications hosted in the cloud could be a useful feature for some users.
• Advanced scripting capabilities: While Tricentis NeoLoad does offer some scripting capabilities, it would be nice to have more advanced options for customizing and automating load testing scenarios. Adding more advanced scripting capabilities could make it easier for users to create complex load testing scenarios.

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Definitely will not revisit after our issues and, in my opinion, poor support.

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We find NeoLoad easy to use compared to their competitors. It requires minimal coding knowledge, also it is easy to train newcomers with NeoLoad. It also offers good integration and automation capability where with less code you can automate your testing process

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There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.

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In being flexible to meet all needs, it is very bare bones by design, but this could be a considered a feature and not a bug.

The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.

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This is the only area where we strongly feel Tricentis needs to improve. Their support process is inadequate, representatives are not so capable of providing solutions at one shot without consulting their internal engineering teams. Most importantly, the time they take to resolve simple issues is huge and at many times hampered our work.

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Documentation was difficult to work through, rollout was catastrophic (completely outage)

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1. Their documentation is scattered over many places like GitHub read me files, their internal website etc;
2. Support team takes huge time just to acknowledge our ticket
3. No support to automatically migrate scripts from competetor tool into

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Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.


Key features:


Logs, metrics, and APM (Application Performance Monitoring)


Real-time alerting and dashboards


Supports Kubernetes, AWS, GCP, and other integrations


RUM (Real User Monitoring) and Synthetics





✅ Best for backend, server, and distributed systems monitoring.

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When we used Apache JMeter we faced some problems like less documentation is available for integrating tools, and some integrations have not yet been deployed. Very few plugin updates are made. Since customer support is an open source tool, it is a major problem. While Tricentis Neoload provides better documentations and customer services.

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• Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
• Alerts allow us to remedy issues before our customers even know about them
• Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Performance testing is like an insurance. An online store which is not available causes a loss of sales. Without a performance test you do not know if it might happen. The invest into performance tests reduces the risk of loosing sales. The flexible license model of NeoLoad allows or customers to choose reasonable and suiteable rate.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info