The technology itself is generally very useful and the interface it great.
Datadog Operator
DatadogExternal reviews
725 reviews
from
and
External reviews are not included in the AWS star rating for the product.
Great technology with a nice interface
What is most valuable?
What needs improvement?
There should be a clearer view of the expenses.
For how long have I used the solution?
I have used the solution for four years.
What do I think about the stability of the solution?
The solution is stable.
How are customer service and support?
I have not personally interacted with customer service. I am satisfied with tech support.
How would you rate customer service and support?
Neutral
Which solution did I use previously and why did I switch?
I am using ThousandEyes and Datadog. Datadog supports AI-driven data analysis, with some AI elements to analyze, like data processing tools and so on. AI helps in Datadog primarily for resolving application issues.
How was the initial setup?
It was not difficult to set up for me. There was no problem.
What was our ROI?
I can confirm there is a return on investment.
What's my experience with pricing, setup cost, and licensing?
I find the setup cost to be too expensive. The setup cost for Datadog is more than $100. I am evaluating the usage of this solution, however, it is too expensive.
What other advice do I have?
I would rate this solution eight out of ten.
Makes it easy to track down a malfunctioning service, diagnose the problem, and push a fix
What is our primary use case?
We use Datadog for monitoring and observing all of our systems, which range in complexity from lightweight, user-facing serverless lambda functions with millions of daily calls to huge, monolithic internal applications that are essential to our core operations. The value we derive from Datadog stems from its ability to handle and parse a massive volume of incoming data from many different sources and tie it together into a single, informative view of reliability and performance across our architecture.
How has it helped my organization?
Adopting Datadog has been fantastic for our observability strategy. Where previously we were grepping through gigabytes of plaintext logs, now we're able to quickly sort, filter, and search millions of log entries with ease. When an issue arises, Datadog makes it easy to track down the malfunctioning service, diagnose the problem, and push a fix.
Consequently, our team efficiency has skyrocketed. No longer does it take hours to find the root cause of an issue across multiple services. Shortened debugging time, in turn, leads to more time for impactful, user-facing work.
What is most valuable?
Our services have many moving parts, all of which need to talk to each other. The Service Map makes visualizing this complex architecture - and locating problems - an absolute breeze. When I reflect on the ways we used to track down issues, I can't imagine how we ever managed before Datadog.
Additionally, our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a
multitude of programming languages. We haven't found a case yet where we
needed to roll out our own solution for communicating with our instance.
What needs improvement?
A tool as powerful as Datadog is, understandably, going to have a bit of a learning curve, especially for new team members who are unfamiliar with the bevy of features it offers. Bringing new team members up to speed on its abilities can be challenging and sometimes requires too much hand-holding. The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data. This would give them the confidence to navigate the tool and make the most of all it offers.
For how long have I used the solution?
The company was using it before I arrived; I'm unsure of how long before.
Vendor Interactions Relation Management - DataDog
What do you like best about the product?
One of the most thing being liked about datadog is the detailed information of the the track of the application, its request/response, error/log traces, complete api information with integration of the application servers, databases making sure the application remaining up and running throught the business working hours without any intereptions.
The complete visibility of the error traces makes it easy to track down any issues reported and thus making its fixes.
The complete visibility of the error traces makes it easy to track down any issues reported and thus making its fixes.
What do you dislike about the product?
When integrating the application its servers the database the cost is quite high. also when it comes to large applciation wiht heavy database it is tough to integrate.
What problems is the product solving and how is that benefiting you?
Datadog helos in monitoing the entire application inclusing the servers, databases, api its request response error log and traces. Also with error success rates and different views a developer can easily configures the application in datadog and wntire application can be monitored easily in just few clicks. The benefits it gives to business is the applicaiton availability 24x7 and easy access to logs thus eliminating the problems and ensuring working of the application.
Once you got onto Datadog (a closed platform), they will leverage switching cost to squeeze you
What do you like best about the product?
Their marketing is very strong. As I was choosing between Grafana vs Datadog, I believed datadog can solve my problems quicker and I am willing to pay more for that.
What do you dislike about the product?
1 months into datadog, my decision of choosing Datadog over Grafana is already biting me. None of my expectations were materialized
1. Datadog was not quicker to set up; there are less support docs/examples comparing to Grafana.
2. Datadog's support team are all about being "nice" instead of making real progress. Very inefficient.
3. When you are stuck, their support will remind you of the "switching cost" instead of solving real problems for you. Very distasteful.
4. I invested in a closed platform instead of an open source stack where I have a much easier time to extend and switch.
1. Datadog was not quicker to set up; there are less support docs/examples comparing to Grafana.
2. Datadog's support team are all about being "nice" instead of making real progress. Very inefficient.
3. When you are stuck, their support will remind you of the "switching cost" instead of solving real problems for you. Very distasteful.
4. I invested in a closed platform instead of an open source stack where I have a much easier time to extend and switch.
What problems is the product solving and how is that benefiting you?
We have many microservices. As an executive, I needed a service catelog to track, monitor, and level up all of the services across all dimensions (APM, Cloud Cost, Incident, Log, etc).
Datadog is a great monitoring and observability tool
What do you like best about the product?
Is a tool that provides many services like infrastructure monitoring, logging, database monitoring, etc. The great about this is that all services are interconnected, so when a problem ocuurs in your systems you can configure Datadog to have end 2 end visibility of your platform, helping the engineers to debug and find problems easy and fast enough.
What do you dislike about the product?
Sometimes the ui is very overwhelming, specially at the beginning, so many buttons and features makes the platform very complex to use, so the leraning curve is a bit hard at the beginnning, once you learn to use it is really simple and intuitive
What problems is the product solving and how is that benefiting you?
The monitoring and alerting systems we have in AWS and GCP are good to identify problems, but when it comes to review an end 2 end problem that there is no clue when the error is happening, datadog is providing the tools to follow step by step with full visibility of our systems. This is increasing the productivity of the engineering team a lot. We are right now finalizing our trial version but I can tell that not even getting the full potentil of it yet, is really promising what we achieved in just a few weeks. Very excited of what is coming with the new discoveries of this platform features
Very intuitive UI and powerfull integration
What do you like best about the product?
We have deployed Datadog for our all cloud deployments in AWS cloud. A large number of integrations allow us to literally monitor everything. From AWS cloud infra to hosted compute whether it be physical, virtual or serverless. We are using Datadog to monitor our endpoints and UI testing of the applications through synthetic tests.
Deployment is super easy and quick with highly skilled support team. Datadog is one of the most frequenctly used tool in our organization and its been great. Documentation is very detailed and has improved over time allowing us to setup everything without major hurdles.
Deployment is super easy and quick with highly skilled support team. Datadog is one of the most frequenctly used tool in our organization and its been great. Documentation is very detailed and has improved over time allowing us to setup everything without major hurdles.
What do you dislike about the product?
Some features are limited when compared to compatitors. We used to monitor the infra through NewRelic which offered more visibility into the running processes but Datadog is limited when it comes to manual process monitoring.
What problems is the product solving and how is that benefiting you?
Visibility to monitor the infrastructure, network, applications and databases was needed to optimize cost and resource right sizing. We also needed to monitor the infra and applications to keep track of whats happening and troubleshoot issues when they arrise. Datadog has helped us in doing this and we are satified with it.
Amazing UX
What do you like best about the product?
The user experience of DataDog is amazing. The granuality and flexibility of filters and charts makes it easy to quickly sift through large amounts of data and find what you need. This is especially useful when trying to quickly troubleshoot an incidents.
What do you dislike about the product?
One annoying thing about DataDog is working with IoC configurations that are defined in Terraform.
It's tough to make changes to your configurations because you need to deploy them in order to see if you did it correctly. It's also not possible to lock down resources defined with IoC, so sometimes people will edit something via the web UI that was conficuged in Terraform and then their changes will get reverted when Terraform re-deploys and they won't know why.
It's tough to make changes to your configurations because you need to deploy them in order to see if you did it correctly. It's also not possible to lock down resources defined with IoC, so sometimes people will edit something via the web UI that was conficuged in Terraform and then their changes will get reverted when Terraform re-deploys and they won't know why.
What problems is the product solving and how is that benefiting you?
System observability and incident response.
Monitoring Tool for Cloud Infra
What do you like best about the product?
What I like best about Datadog is its comprehensive monitoring capabilities across multiple environments and services, especially in cloud-based infrastructures. The platform makes it easy to monitor everything in one place, from application performance and infrastructure health to logs and security. The real-time dashboards are highly customizable, allowing us to drill down into specific metrics and get a clear overview of our entire stack.
What do you dislike about the product?
As our usage grows and we monitor more hosts and services, processing costs also increase. There is a learning curve involved in creating custom queries within the log management interface.
What problems is the product solving and how is that benefiting you?
Datadog helps us solve a range of monitoring and observability challenges across our infrastructure, particularly for our EKS clusters, AWS services, and application performance. By centralizing all these metrics in one place, it’s much easier to get a clear, real-time view of what’s happening across our system.
One Stop Solution (360 degree Monitoring)
What do you like best about the product?
Ecosystem and integration!
Effective communication between different Datadog products, such as APM and Infrastructure, shows detailed traces that I can drill down into to pinpoint the issue.
Effective communication between different Datadog products, such as APM and Infrastructure, shows detailed traces that I can drill down into to pinpoint the issue.
What do you dislike about the product?
There is a need for more improvements and features in the Datadog security lineup. A centralized SCA and SAST is lacking. Additionally, easier integration with MS Teams and other third-party software is necessary.
Flutter support in Real User Monitoring (it is not fully supported yet).
Flutter support in Real User Monitoring (it is not fully supported yet).
What problems is the product solving and how is that benefiting you?
1. At one glance I can see status of my production environment.
2. If there is issue in midnight then watchdog given me exact context on where is the failure and which all microservices were involved along with CPU and RAM usage of given period.
3. If there is crash for mobile application then it directly reports and create errors error tracking which I can assign it to team.
4. If there is vulnerability in the production then it scan and report.
5. If someone is trying to hijack the system then I can block those IPs.
6. Datadog detects unusual activities and reports it.
7. We have configured reports which get sends daily at 9AM to see previous day statics for review purpose so we are proactive if there are any issues.
2. If there is issue in midnight then watchdog given me exact context on where is the failure and which all microservices were involved along with CPU and RAM usage of given period.
3. If there is crash for mobile application then it directly reports and create errors error tracking which I can assign it to team.
4. If there is vulnerability in the production then it scan and report.
5. If someone is trying to hijack the system then I can block those IPs.
6. Datadog detects unusual activities and reports it.
7. We have configured reports which get sends daily at 9AM to see previous day statics for review purpose so we are proactive if there are any issues.
Debugs slow performance with good support and a straightforward setup
What is our primary use case?
We use Datadog for monitoring the performance of our infrastructure across multiple types of hosts in multiple environments. We also use APM to monitor our applications in production.
We have some Kubernetes clusters and multi-cloud hosts with Datadog agents installed. We have recently added RUM to monitoring our application from the user side, including replay sessions, and are hoping to use those to replace existing monitoring for errors and session replay for debugging issues in the application.
How has it helped my organization?
We have been using Datadog since I started working at the company ten years ago and it has been used for many reasons over the years. Datadog across our services has helped debug slow performance on specific parts of our application, which, in turn, allows us to provide a snappier and more performant application for our customers.
The monitoring and alerting system has allowed our team to be aware of the issues that have come up in our production system and react faster with more tools to debug and view to keep the system online for our customers.
What is most valuable?
Datadog infrastructure monitoring has helped us identify health issues with our virtual machines, such as high load, CPU, and disk usage, as well as monitoring uptime and alerting when Kubernetes containers have a bad time staying up. Our use of Datadog's Application Monitoring, APM over the last six years or so has been crucial to identifying performance and bottleneck issues as well as alerting us when services are seeing high error rates, which have made it easier to debug when specific services may be going down.
What needs improvement?
We have found that some of the different options for filtering for logs ingestion, APM traces and span ingestion, and RUM sessions vs replay settings can be hard to discover and tough to determine how to adjust and tweak for both optimal performance and monitoring as well as for billing within the console.
It can sometimes be difficult to determine which information is documented, as we have found inconsistencies with deprecated information, such as environment variables within the documentation.
For how long have I used the solution?
I've been using the solution for ten years.
What do I think about the stability of the solution?
The solution seems pretty stable, as we've been using it for more than a decade.
What do I think about the scalability of the solution?
The solution seems quite scalable, especially within Kubernetes. Costs are a factor.
How are customer service and support?
SUpport has been very helpful whenever we need it.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
We had tried some other APM monitoring in the past, however, it was too expensive, and then we added it to Datadog since we were already using Datadog and it seemed like a good value add.
How was the initial setup?
The solution is straightforward to set up. Sometimes, it is complex to find the correct documentation.
What about the implementation team?
We handled the setup in-house.
What was our ROI?
Our ROI is ease of mind with alerts and monitoring, as well as the ability to review and debug issues for our customers.
What's my experience with pricing, setup cost, and licensing?
Getting settled on pricing is something you want to keep an eye on, as things seem to change regularly.
Which other solutions did I evaluate?
We used New Relic previously.
What other advice do I have?
Datadog is a great service that is continually growing its solution for monitoring and security. It is easy to set up and turn on and off its features once you have instrumented agents and tailored solutions to your needs.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other
showing 151 - 160