What is Datadog?Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
Datadog Buyer's Guide
Download the Datadog Buyer's Guide including reviews and more. Updated: June 2021
Datadog CustomersAdobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
What users are saying about Datadog pricing:
- "My advice is to really keep an eye on your overage costs, as they can spiral really fast."
- "If you do your homework, you'll find that if you're really concerned with cost, it's good."
- "It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."
- "Pricing seemed easy until the bill came in and some things were not accounted for."
- "Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."
- "The cost is high and this can be justified if the scale of the environment is big."
- "It has a module-based pricing model."
- Highest Rating
- Lowest Rating
- Review Length
Showingreviews based on the current filters.
Senior Manager, Site Reliability Engineering at Extra Space Storage
Real UserTop 10
Jan 30, 2021
Provides insightful analytics and good visibility that assist with making architectural decisions
What is our primary use case?We primarily use Datadog for logs, APM, infrastructure monitoring, and lambda visibility. We have built a number of critical dashboards that we display within our office for engineers to have a good understanding of the application performance, as well as business partners to understand at a high level the traffic flowing through the app. We started with logging, as our primary monitor, and have shifted to APM to get a deeper understanding of what our system is doing, and how the changes we are making impact the apps.
Pros and Cons
- "Datadog has given us near-live visibility across our entire cloud platform."
- "We have recently had a number of issues with stability and delays on logging, monitoring, metric evaluation, and alerts."
What other advice do I have?Datadog requires pretty close supervision on the usage page to ensure you aren't going out of control. They have provided a bunch of new features to assist in retention percentage, but it can be a bit confusing on what is being retained, and what can be viewed again after triggering an alert. It's a difficult balance of making sure you are getting the right data for alerts, and still having the correct information still available for research after the fact.
Principal Enterprise Systems Engineer at a healthcare company with 10,001+ employees
Real UserTop 5
Feb 22, 2021
An out-of-the-box solution that allows you to quickly build dashboards
What is our primary use case?We deploy agents on-premise to collect data on on-premise VM instances. We don't use Datadog in our cloud network. We do have some Cloud apps that we have it on and we also have Containers. We have it on their headquarters, the main software for them is on their own Cloud. Eventually, we're building out the process now and using it better. We plan to use Datadog for root cause analysis relating to any kinds of issues we have with software, with applications going down, latency issues, connection issues, etc. Eventually, we're going to use Datadog for application performance, monitoring, and… more »
Pros and Cons
- "I like that you can build out a dashboard pretty quickly. There are some things that come out of the box that you don't really need to do, which is great because they're default settings."
- "I think better access to their engineers when we have a problem could be better."
What other advice do I have?If you're interested in using Datadog, just do your homework, as we did. We're happy so far I think; time will tell as we are still rolling things out. It's a very good company. It's going to be a year before we really can tell anything. If you do your homework, you'll find that if you're really concerned with cost, it's good. There are some strengths that AppDynamics and Dynatrace have that Datadog I don't think will have down the road, but they're not things we necessarily need — they're outliers. It would be nice to have them, but we can manage without them. Know what you want. There is no…
Learn what your peers think about Datadog. Get advice and tips from experienced pros sharing their opinions. Updated: June 2021.
509,570 professionals have used our research since 2012.
Senior Director of DevOps at Housecall Pro
Real UserTop 20
Jan 4, 2021
Good graphing and dashboards, and it improves visibility for developers
What is our primary use case?We primarily use Datadog for the monitoring of EC2 and ECS containers running mostly Rails applications that host a SaaS product. We also monitor ElasticSearch and RDS, and we are working on adding their Application Performance Monitoring solution to monitor our applications directly. We use DataDog to create dashboards, graphs, and alerts based on interesting metrics. DataDog is our first place to look to find the performance of our system. We also use their logging platform and it works well. Especially useful is that the logs and metrics are tightly integrated so you can jump between them… more »
Pros and Cons
- "Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."
- "Datadog has a lot of documentation, but a lot of that documentation assumes you know how the service works, which can lead to confusion."
Network Engineer / AWS Cloud Engineer / Network Management Specialist at CareFirst
Real UserTop 10
Jan 20, 2021
Good visualizations and dashboards help to minimizes downtime and resolve issues quickly
What is our primary use case?We were in need of a cloud monitoring tool that was operationally focused on the AWS Platform. We wanted to be able to responsibly and effectively monitor, troubleshoot, and operate the AWS platform, including Server, Network, and key AWS Services. Tooling that highlighted and detected problems, anomalies, and provided best practice recommendations. Tooling that expedites root-cause analysis and performance troubleshooting. Datadog provided us the ability to monitor our cloud infrastructure (network, servers, storage), platform/middleware (database, web/applications servers, business process… more »
Pros and Cons
- "The most valuable feature is the dashboards that are provided out of the box, as well as ones we were able to configure."
- "More pre-configured "Monitor Alerts" would be helpful."
What other advice do I have?We are very pleased with Datadog overall. Datadog has assigned an account rep to us that meets with us regularly to make sure all our needs are being met and help us get answers to any questions or issues we are running up against. They have been of great helping us standup monitoring of our Kubernetes environment.
Senior DevOps Engineer at DigitalOnUs
Real UserTop 10
Dec 28, 2020
Affordably-priced and improves visibility of infrastructure, apps, and services
What is our primary use case?Our primary use of Datadog includes: * Keeping a close look into our AWS resources. Monitoring our multiple RDS and ElastiCache instances play a big role in our indicators. * Kubernetes. We aren't using all of the available Kubernetes integrations but the few of them that work out of the box adds great value to our metrics. * Monitoring and alerting. We wired our most relevant monitoring and alerts to services like PagerDuty, and for the rest of them, we keep our engineers up to date with constant Slack updates.
Pros and Cons
- "Having a clear view, not only of our infrastructure but our apps and services as well, has brought a great added value to our customers."
- "The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."
What other advice do I have?Please add PHP profiling soon!
Sr. Architect - SaaS Ops at CommVault
Jan 25, 2021
Improves infrastructure visibility, integrates well, and fine-tuning the monitors is easy to do
What is our primary use case?We primarily use DataDog for performance and log monitoring of cloud environments, which include VMs and Azure Services like Azure compute, storage, network, firewall, and app services via event hubs. Alerting based on monitors via teams and PagerDuty. Logs collection for Azure services like Azure database, Azure Application Gateway, Azure AKS, and other Azure services. Custom metrics using a Python script to collect metrics for components not natively supported by Datadog. Synthetic testing to ensure uptime and browser tests via CI/CD pipeline.
Pros and Cons
- "The ability to send notifications based on metadata from the monitor is helpful."
- "Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
What other advice do I have?Overall, the Datadog product is really good. It doesn't need a sales team and yet, the sales team has screwed up on some occasions. It's a great product and the customer success needs to put an extra effort to help customers with best practices rather than passing them off to support. Customer success doesn't evangelize product features and the customer doesn't know what new is coming unless they ask about it.
Head of Digital & Cognitive Services at a tech company with 11-50 employees
Provides seamless monitoring, increases visibility, and optimizes the time spent on monitoring and management activities, but needs an artificial intelligence component
What is our primary use case?We use it for monitoring and instrumentation of security. We secure our databases and servers. It is typically for the security of apps, services, and systems. We are using its latest version.
Pros and Cons
- "Its integration definitely stands out. It provides seamless monitoring of all our systems, services, apps, and whatever else we secure and monitor. Visualizations have become simpler with dashboards. We are getting visibility into systems, services, and apps stack through a single pane of glass, which is good. We are able to put logs in context."
- "It can have an artificial intelligence component. Even though I can seamlessly look at end-to-end security, it would be better to have alerts and notifications powered by an AI engine. I am not sure if they have an AI component. We have not reached out to them or looked at it, but this is something that I keep on talking about within our company in terms of features. Such a feature would be good to have, and it would further optimize my Security Ops team's abilities."
What other advice do I have?I would rate Datadog a seven out of ten. It is too early to say whether we are getting our money's worth, but we have felt the difference in terms of optimization and user experience.
Director of Cloud Operations at a tech services company with 11-50 employees
Mar 31, 2021
Provides good visibility and helps in being proactive, but needs a more modernized pricing mechanism
What is our primary use case?Our clients use it for monitoring applications. Its deployment depends on our customer's use case. It is 100% cloud. We have got a multi-tenant environment, so we segment it out.
Pros and Cons
- "The visibility that it provides is valuable. It is helping in being proactive around incident management. It is helping us to be able to get more visibility into our customers' applications so that we can assist them at the application layer. We also provide them the infrastructure from an AWS standpoint. We are able to make sure that our customers are aware of certain critical things around the analytical piece of either the network or the application. We're able to call customers before they even know about the issue. From there, we can start putting together some change management processes and help them a bit."
- "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."
What other advice do I have?I would advise others to review the overall functionality. If you're looking for different APN tools, then Datadog is a good tool. If you're not looking for it to handle all aspects of your environment and your application from the security infrastructure aspect, there are other tools out there that you could possibly utilize for each one of those areas. We do a lot of proof of concepts in helping our customers understand the micro and macro pieces of deployment. We're able to be a true advocate and value-add for our customers in utilizing the tool. I would rate Datadog a seven out of ten…
See 11 more Datadog Reviews
Product CategoriesCloud Monitoring Software IT Infrastructure Monitoring Application Performance Management (APM) Network Monitoring Software Log Management
Download our free Datadog Report and get advice and tips from experienced pros sharing their opinions.
- Any advice about APM solutions?
- Which monitoring solution is better - New Relic or Datadog?
- Anyone switching from SolarWinds NPM? What is a good alternative?
- What cloud monitoring software did you choose and why?
- What are some benefits of cloud monitoring?
- What SolarWinds NPM alternatives do you recommend?