AppDynamics vs Datadog vs New Relic

AppDynamics
AppDynamics

72
71
46
Datadog
Datadog

1.9K
1.3K
694
New Relic
New Relic

14.2K
2.8K
1.9K
- No public GitHub repository available -
- No public GitHub repository available -
- No public GitHub repository available -

What is AppDynamics?

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

What is Datadog?

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

What is New Relic?

New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code.

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Why do developers choose AppDynamics?
Why do developers choose Datadog?
Why do developers choose New Relic?

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What are the cons of using AppDynamics?
What are the cons of using Datadog?
What are the cons of using New Relic?

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What companies use AppDynamics?
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What tools integrate with AppDynamics?
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What are some alternatives to AppDynamics, Datadog, and New Relic?
Nagios
Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.
Splunk
Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
ELK
It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
Grafana
Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
Azure Application Insights
It is use to monitor your live web application. It will automatically detect performance anomalies. It includes powerful analytics tools to help you diagnose issues and to understand what users actually do with your app.
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Decisions about AppDynamics, Datadog, and New Relic
No stack decisions found
Interest over time
Reviews of AppDynamics, Datadog, and New Relic
Review ofDatadogDatadog

Background

We're a real-time financial services messaging company, so being able to monitor our servers and applications in real-time is important to us. We also like a good deal, so $15/server seemed a bargain.

What were we looking for?

We wanted to monitor our MS infrastructure (servers, SQL) and apps (C#) to understand performance issues and be able to rectify. We also want to be able to do long-term trending. And we wanted to go from nothing to live in a short time.

Experience

Installing the Datadog agent on the servers was a breeze and enabling the integrations for SQL and Windows trivial.

Using the StatsD based API was also very easy - no worrying about JSON or UDP calls. The ability to add tags to all metrics is also a key benefit. We run multiple (100+) instances of a single application and being able to distinguish events from each one via tagging, or to see aggregates, is extremely useful.

In all it took 2 days R&D to instrument our key applications sufficiently for production deployment. Deploying the agent to our production servers took 30 mins, giving our Ops team complete visibility for the 1st time.

What have we learned

Since we've been live Datadog has given us numerous insights into the way our system behaves, from uneven server loadings and sporadic memory usage to performance tuning a key application that resulted in a 50% increase in throughput. Knowing what's taking the time has been a boon.

Continuous evolution

The other nice surprise has been the evolving nature of Datadog. It seems like every couple of weeks there's a new feature on the site.

Other points

  • I like the transparent pricing. Services that won't show me the price without having to talk to a sales person are really annoying.
  • Support has been good. We've contacted them several times with questions and always had a quick response (time zone considered...we're in London) and a helpful answer.

So What's bad?

Probably the weakest aspect at the moment is the long term trending of data. Whilst you can wind the time bar back to see what happened last week you can't ask questions like "show me the peak period each day for the last x months". The "get data" API is also fairly weak. Neither are concerns at the moment, and I'm sure they're on the to-do list.

Review ofDatadogDatadog

I've been a systems administrator most of my career. Everywhere I went, I'd have to rebuild the same monitoring + graphing system. And then make sure that every machine wrote to that system and every application handed up the proper metrics through whatever mechanism seemed good at the time.

Then, as CTO of SimpleReach, single-handedly managing over 200 servers in addition to everything else, I found Datadog. We were already using statsd to instrument our applications, now it was just a matter of getting that data to Datadog. We use Chef, so I installed the Datadog agent on every machine in about 10 minutes and we were up and running.

The best part was that we had a deploy problem the next day with one of our main applications and troubleshooting took minutes instead of hours (and Datadog immediately paid for itself). Now no new features go out without instrumentation and no machine gets created without being monitored.

Datadog just scales with us. Great service and I highly recommend it to anyone not looking to reinvent the wheel with monitoring and instrumentation.

Review ofDatadogDatadog

Datadog makes running a service with 800,000 unique users a month possible as a single developer/maintainer. I bought a separate monitor just to keep my datadog dashboards always visible and rely on triggers to keep watch over 20+ servers.

Highly recommended.

Review ofDatadogDatadog

We use datadog to monitor our servers and some application metrics. Easy to get started and scale to many servers. Datadog support engineers are always quick to respond to bugs and other challenges.

How developers use AppDynamics, Datadog, and New Relic
Avatar of StackShare
StackShare uses New RelicNew Relic

Free Heroku add-on. Not particularly useful for us. Rails profilers tend to do a better job at the app level. And I can never really figure out what’s going on with Heroku by looking at New Relic. I don’t know if we’re just not using New Relic correctly or if it really does just suck for our use case. But I guess some insight is better than none.

Avatar of MaxCDN
MaxCDN uses New RelicNew Relic

How do you know what parts of the workflow need improvement? Measure it. With New Relic in place, we have graphs of our API performance and can directly see if a server or zone is causing trouble, and the impact of our changes. There’s no comparison between a real-time performance graph and “Strange, the site seems slow, I should tail the logs”.

Avatar of DigitalPermits
DigitalPermits uses DatadogDatadog

We just started looking into Datadog, but from what we see, it's like New Relic meets Loggly. It's really easy to plugin different services (like the one on this list) and get detailed analysis of what is happening on your servers and services. It makes tracking down sparse and difficult to understand problems possible.

Avatar of Kalibrr
Kalibrr uses New RelicNew Relic

We monitor and troubleshoot our app's performance using New Relic, which gives us a great view into each type of request that hits our servers. It also gives us a nice weekly summary of error rates and response times so that we know how well we've done in the past week.

Avatar of Sail Tactics
Sail Tactics uses DatadogDatadog

Monitoring day-to-day operations of multiple high-performance computing assets distributed across several networks. Monitoring vendor provided data and setting up alerts when things do not show up on time.

Avatar of AngeloR
AngeloR uses DatadogDatadog

Datadog was used as an agent for monitoring and as for the statsd daemon included. This way we are able to have automated system stats and include whatever other metrics we want to track.

Avatar of Steve Paulo
Steve Paulo uses New RelicNew Relic

I'm trying to wring more instrumentation out of New Relic as it pertains to Rack, but for the time being, New Relic is monitoring/alerting uptime and some basic performance metrics.

Avatar of Jeff Flynn
Jeff Flynn uses New RelicNew Relic

Just like we care about errors, we care about metrics - especially around performance. You'd be crazy not to use it - and not surprisingly, it's a one-click add-on in Heroku.

Avatar of Dynamictivity
Dynamictivity uses DatadogDatadog

Datadog is used because it has a great free tier and it provides us with great insights and integrations into our infrastructure and tools.

Avatar of Flux Work
Flux Work uses DatadogDatadog

Powerful all-in-one monitoring solution as a service. Good integration with AWS. Very affordable price for small-scale startups.

Avatar of Daniel Steel
Daniel Steel uses AppDynamicsAppDynamics

AppDynamics is used to monitor our full end to end user experience journey's including the infrastructure health.

Avatar of Performance Assessment Network (PAN)
Performance Assessment Network (PAN) uses AppDynamicsAppDynamics

APM for our web apps, and rolling out of the End User Experience Monitoring

Avatar of Cisco SSO
Cisco SSO uses AppDynamicsAppDynamics

Application Performance Monitoring and Management

How much does AppDynamics cost?
How much does Datadog cost?
How much does New Relic cost?