I previously used New Relic, App Dynamics, Heap, Clicktale, and more. Datadog has incorporated many of the features we were looking for into a one-stop shop.

I previously used Dynatrace and Elastic. We didn't switch. We are in a POC.

We were using AppDynamics. Technically, we still have it in-house because it's tightly wound into certain systems, but we'll probably pull that off slowly over time. The reason we added Datadog and eventually we'll fully switch over is due to cost. It's more cost-friendly to do it with Datadog.

We have used Splunk, Sentry, and a suite of hand-made solutions. We switched since the Datadog solution was both comprehensive and cohesive. It was also easier to onboard people since the solution was well-documented and standardized.

I have previously used AppDynamics and Dynatrace. 

Our company used other products in the past but wanted to move to the cloud. We found that the solution was a very good fit for us. 

I was previously using SolarWinds in the company I was working with before.

We were just trying Datadog, and we've switched temporarily to Site24x7. We're looking for one of the bigger ones. They've all given us proposals, whereas Datadog hasn't come forward with a proposal for what they could do.

I used Datadog because I already had a relationship with them at a previous company. However, that guy's moved on now, and I wanted to see how good they were. 

I have used other similar solutions to Datadog and when I do a comparison between the other tools Datadog is on top, it is great.

We previously used AppDynamics. It isn't built for the cloud and is hard to deploy at scale.

We previously used App Dynamics. It isn't built for the cloud and is hard to deploy at scale.

We previously used Splunk and some internal tools. We switched due to the fact that some cloud applications don't integrate well with pre-existing solutions.

We previously used AWS Cloudwatch logs. It was way less friendly and fully featured.

I did not previously use a different solution.

We previously used ITRS Geneos.

We previously used AppDynamics. The tool was not providing good system visibility as it was limited and had a very high cost.

We did not previously use a different solution.

We used a different product for the total stack solution.

We previously used AppDynamics and Dynatrace.

We previously used App Dynamics.

We used to use AWS Cloudwatch for a lot of our monitoring needs. That said, the interface felt clunky, confusing, and limited.

We used to use GCP Stackdriver for logging and monitoring since our infrastructure is all GCP based. It was lacking a lot, particularly on tracing and structured logging. We often had a lot of trouble triaging and diagnosing a production problem. Datadog's specialty is observability. Since we started using the product, we were able to create dashboards, and utilize APM, continuous profiling, RUM, and distributed tracing for production support and user trends.

Datadog also offers labs and workshops for its products, which is very helpful.

We previously used New Relic. I was not part of the decision-making team that made the switch.

I did not previously use a different solution.

I've previously used Kibana and Prometheus. We are still using these.

We used to use AppDynamics. We switched due to the fact that the cloud monitoring and K8 monitoring are not as good as Datadog.

We previously used New Relic, which was a great tool. That said, Datadog is a more complete solution.

Datadog is easy to use and generally looks great from a customer standpoint. The ability to export metrics all into a central location was crucial.

I was previously familiar with Splunk.

We did not use a different solution previously.

We previously used Scalyr for logs and switched due to APM linkage.

This is all new. 

We used to work with New Relic. New Relic has an amazing APM solution. However, it also became cost-prohibitive

Have used an ELK stack before. However, it took a lot of effort to maintain, and parsing the logs was difficult.

We previously used New Relic. It had a terrible UI and the integration between products was not great. Datadog is miles ahead of them and is continuing to increase that distance.

This was the first solution we tried.

We have previously used different tools for different parts of the monitoring. We changed to AWS when we moved to the cloud. We also found that the effort in maintaining Grafana and Prometheus and keeping it up to date was taking too much time.

Previously, I used homebuilt solutions with Nagios and Cacti but found that there was far too much work to understand them and keep them up and fed compared to the value that I got. They also did not integrate well with existing data sources without a lot of effort.

I also previously used StackDriver and found it too opinionated. I like that DataDog gives you tools to work with certain types of data and make your own graphs, monitors, etc., whereas, with StackDriver, I felt like there were a limited number of ways you could accomplish goals.

We previously used Sumo Logic.

We did not previously use a different solution.

Previously, we used AppDynamics. The pricing model didn't seem to fit with actual cloud spend. Now we may have swung the pendulum a little too far, and seem to be dealing with pricing on every facet of the application. 

we did not.

We have used Elasticsearch, Grafana, and Prometheus. We are still evaluating Datadog.

We previously used AWS.

We have used AWS CloudWatch and AWS inbuilt application of the features, however, we thought that it will be good to have a separate application to do all these kinds of monitoring and to have something for handling alerting mechanisms.

We are looking for the best available platforms on the market, which also would give us better flexibility while having everything come from one place. We found that Datadog is good enough for now, and we are still exploring what it can do and our options. We are not completely in with Datadog. We've been exploring it only for four or five months.

Before Datadog, we had APM monitoring, which is something similar, but it wasn't as nice to use or as easy to configure.

We previously used LightStep for APM and switched to Datadog to unify all of our application data.

This was our first solution in this space.

For logging, we are moving from LogDNA to Datadog to have access to everything in one place. Also, searching and traversing through logs seems easier in Datadog

We are also using Nessus. My experience using Tenable Nessus is better.

We did use NewRelic, but the logging feature was not as good as it is in Datadog.

We have only used Datadog. We did not previously use a different product.

We’ve also been using FullStory.

We previously ran Graphite and Sensu ourselves. By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore. Graphite was somewhat complex to run.

We previously used Selenium. I was forced to use it. However, Datadog was a way simpler solution to setting up browser and API tests quickly.

We have utilized New Relic, however, not for RUM. We went with Datadog to potentially switch the entire platform into an all-in-one solution that makes sense for a company of our size.

We were using New Relic prior to implementing Datadog. In terms of application monitoring, Datadog is not up to the level that New Relic is. It is a better product but the price is too high, which is why we switched.

Prior to using Datadog, each team was using their own solutions. This included a mix of custom tooling, third-party tools, and AWS tools.

I've used a few other products such as NewRelic and AppDynamics. The switch is usually affected by two factors: pricing and convenience.

We mainly work with Datadog, although with Dynatrace, as well. 

We didn't have a solution in place. The only thing we had were logs.

Complementary to other tools we used.

We have not used other solutions previously.

We have used CloudWatch previously and this solution is better at meeting all our needs.

We are actually still using actually Elasticsearch and Kibana, however, we prefer to use Datadog due to the fact that it is very simple. We really enjoy how it operates

The solution is better than what we previously used. 

We had Carbon Black. We didn't switch from Carbon Black to Datadog. Datadog was something different because of the visualization capability and bringing everything together. We acquired a couple of companies, and Datadog was being purchased. We just validated the purchase specification, features, and assessments. It was not a one-on-one sort of exchange of Carbon Black with Datadog.

We switched when we started getting heavy into the cloud. We used to use ScienceLogic, New Relic, AppDynamics, Zabbix, etc. It was hodgepodge. 

We were very strong in the APM space. We had all of our APMs going through AppDynamics, which suited a lot of our customer use cases in the cloud. However, when our customers started to get more specific, they wanted traditional core monitoring and the other on-premise traditional vendors, like ScienceLogic, weren't cutting it. That is when we started to look at Datadog. We went back and forth for a while between Zabbix and Datadog. In the end, Datadog won out based on feature price and everything together.

We did not previously use a different solution. 

Currently, we're on EventTracker. We are doing research to see if we could get a better monitoring solution. That's why we are trying out Datadog. If we like it, we will buy the full version. We would also recommend it to our other clients.

One of our customers was using another solution. They switched because of the scalability of the perimeter. Their previous solutions were limited in terms of the kind of servers and virtual machines. They had multiple tools, and Datadog provided them a single tool for architecture and infrastructure.