New Relic vs. Omnissa Intelligence

It is perfect for observing our energy platforms during high-load situations, such as grid demand spikes, or our real-time ingest of sensor data, allowing us to respond in real time to anomalies. And it’s a good way to monitor API performance in client dashboards, too. But it’s not as conducive for low-budget/low-code work or deep customization that doesn’t get ample development support given its complexity and expense.

Incentivized

Crittercism is definitely, in my opinion, best for software testers/engineers. We are the faces behind proper app behavior. However, I'm sure there are other scenarios that would benefit from this program. Engineers should should use it prior to sending out builds to see if anything major is crashing or going wrong behind the scenes to diagnose the problem before going into testing/production

Incentivized

• Capturing Front end Metrics specially web vitals and setting up alerts for violations really helps.
• NRQL is great tool to fetch the data you need. With queries you can pull the data and put the data by table or by chart. You can even trend graphs and create dashboards.
• Synthetic Monitoring is very helpful for proactive monitoring. You can use it for user journeys by using scripted browser monitor type or just check availability using PING type.
• ASk AI is great addition that can fetch details you need with natuaral language

Incentivized

• Identifying crashes users are experiencing.
• Allowing us to see how many times the crash occurred.
• Allowing us to see what times the crashes have occurred.

Incentivized

• Support for SQL like query with more functional features of analysis while viewing distributed tracing.
• support for very low level specific integration from APIs to classes to functions to piece of code
• More detailed documentation, as we faced issues while integrating for the first time.

Incentivized

• Pointing to exact line number of the crash
• A more explicit navigation bar (a little confusing for the user)
• Third-party API specific crash reporting (instead of just listing the endpoint)

Incentivized

I have not yet found any similar product that offers me this range of features to help us keep our online service fast and reliable. Besides this, New Relic is constantly evolving by adding new plugins to emerging technologies and platforms. Server performance measuring features are a key point as our user database grows.

New Relic helps in observability setup for the critical environments and getting known about the issues and troubleshoot the applications and services. Alerts helps in knowing the abnormal state of the system and services, Dashboards are used for visualizing the key metrics and muting the unwanted notifications and dropping the extra data from the source.

Incentivized

Never observed an outage

Incentivized

Always responsive. Never observed slow page loads

Incentivized

The support team has been really helpful and resolved most of the issues on time. However, for a couple of issues, several follow-ups were needed to elicit a reasonable response. The issue was deeply technical and could have been investigated only by their Architects, and bringing them into the ticket took longer than needed

Incentivized

The documentation was clear and concise; the only issue we ran into was custom application naming. Due to HTTPD mod_fcgid and the need for the application name to be set in php.ini (not in .htaccess or the virtual host directive) ... we had issues setting this up.

Its covers all the observability aspects as well as giving us more competitive pricing models compared to other providers that's why I like to use New Relic in place of other tools. And also it introduces new Agentic AI features as well as it adopts AI in its RCA. As an observability tool it should reduce the RCA of any problem and New Relic is continuously focusing on that that's why I am preferring New Relic in place of other tools.

Incentivized

I use both for different purposes. Twitter Fabric integration was easier for setup purposes and documentation was a lot clearer than Crittercism and geared towards Swift more so than Objective-C. Twitter Fabric is also better with real-time emails pointing to exact line number for a bug. Crittercism is better for bread crumb trails and stack traces to see the user flow and how a problem ending up becoming a problem in the first place.

Incentivized

Agent deployment is easily integrated into our workflow. Adding the agent to new servers is quick and painless

Incentivized

• We were able to quickly identify our most time consuming APIs. In some cases we were able to bring down times for some apis from 4s to 200ms.
• We were able to identify our slowest database queries and optimize them for quicker response times.

Incentivized

• Allow us to release iOS versions quicker to the app store
• Help us solve bugs and view bread crumb trails on money-making actions within the API
• Points us to problems in the stack trace with a direct correlation to our route creation aspect in the app

Incentivized