We performed a comparison between Datadog and JenniferSoft based on real PeerSpot user reviews.
Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability."The solution has helped out organization gain improved visibility."
"Because of our client focus, it is easy for us to sell. This is because it is easy to use and easy to set up."
"The application performance monitoring is pretty good."
"We have been able to set very specific CPU and memory alerts, at the very base level, then we started to pull real business value, like 99th percentile response rates for our API calls."
"It helps us better manage our logs."
"Flame graphs are pretty useful for understanding how GraphQL resolves our federated queries when it comes to identifying slow points in our requests. In our microservice environment with 170 services."
"Datadog agents act as an integration to different services, providing easy access and management."
"It is a good one stop location where we keep all our data for our infrastructure, and it's also easier to navigate between different things."
"The dashboard is a valuable feature."
"It can have a more modernized pricing mechanism. We're actually working with them to figure out how to become more modular and have a better and more modernized pricing mechanism. The issue with Datadog is that you have to buy the whole suite of different products, and you kind of get stuck in the old utilization of 40% of their suite. Most organizations today break down between application development, networking, and security. Therefore, there should be a way to break down different modules into just app dev, infosec, networking, etc. Customers have various needs across their business lines, and sometimes, they're just not willing to have tools that they're not using 100%. AppDynamics is probably a little bit better in terms of being modular."
"It would also be nice if we had more insight into our own usage of Datadog (agents and custom metrics). They provide a usage page which does help, but it is not in real-time."
"We need more integration functionality, including certain metrics integration."
"Datadog could improve the flexibility with AI and ML concepts. This will allow customers to be more leveraged towards publishing."
"Managing dashboards as IaC is a bit hard to work out at times."
"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."
"Some of the interface is still confusing to use."
"Their security features could be improved. We looked at their Security Monitoring feature but it was early in its development. Datadog are just getting into the security space so I'm sure this will improve in the future."
"The solution is pricy and has room for improvement."
Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 137 reviews while JenniferSoft is ranked 52nd in Application Performance Monitoring (APM) and Observability with 1 review. Datadog is rated 8.6, while JenniferSoft is rated 8.0. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of JenniferSoft writes "Easy to deploy, stable, and scalable". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas JenniferSoft is most compared with Grafana.
See our list of best Application Performance Monitoring (APM) and Observability vendors.
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