We performed a comparison between Datadog and Google Cloud's operations suite (formerly Stackdriver) based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Features: Users have favorable things to say in regards to Datadog's ease of use, convenient setup, useful dashboards, error reporting, log centralization, and troubleshooting features as well as the user-friendliness for development teams. It has a nice interface and is flexible. Google Cloud's operations suite is praised for its easy setup and monitoring capabilities. Datadog could enhance its usability, integration, user interface, learning curve, external website monitoring, SSL security, and setup complexity. Google Cloud's operations suite would benefit from extra metrics and tools, enhanced application logs, stability, improved logging functionality, and increased profiling capabilities.
Service and Support: The opinions about Datadog's customer service vary, with some users appreciating the quick and useful assistance they provide. However, there have been instances where support has been slow or unresponsive. Google Cloud's operations suite is known for its excellent technical support, although certain users have not required assistance from customer service.
Ease of Deployment: Datadog's initial setup is regarded as simple and uncomplicated, with help accessible from service providers or technical support. Google Cloud's operations suite (formerly Stackdriver) has a direct setup process managed by the DevOps team, with excellent documentation provided for assistance.
Pricing: Users have expressed mixed opinions regarding the setup cost of Datadog's product. Some find it to be expensive and confusing, and others feel that it is restrictive or unclear. Google Cloud's operations suite is viewed as a concern due to its pricing, although one user considers it to be very cheap.
ROI: Users have experienced varying levels of ROI with Datadog, with benefits such as time savings and reduced blind spots. On the other hand, Google Cloud's operations suite has consistently delivered a positive ROI for users.
Comparison Results: Datadog is the preferred choice when compared to Google Cloud's operations suite. Users appreciate Datadog's ease of use, convenient setup, useful dashboards, error reporting, log centralization, and troubleshooting features. They also value Datadog's user-friendliness for development teams, interface and integrations, flexibility, and observability.
"The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need."
"We really like the charts and visualization."
"The solution's SaaS model is easy to manage and works well in single- or multi-cloud environments."
"The monitoring functionality, in general, and tagging infrastructure are great."
"The most valuable feature I have found is the elastic container service."
"Datadog has helped us a ton by allowing us to set up a multitude of easily configurable alarms across our tech stack and infrastructure."
"Profiling has been made easier."
"This is definitely a good product and I would consider them one of the leaders within the application monitoring and cloud monitoring space."
"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."
"It's easy to use."
"We find the solution to be stable."
"Provides visibility into the performance uptime."
"The features that I have found most valuable are its graphs - if I need any statistics, in Kubernetes or Kong level or VPN level, I can quickly get the reports."
"Google's technical support is very good."
"I like the monitoring feature."
"The cloud login enables us to get our logs from the different platforms that we currently use."
More Google Cloud's operations suite (formerly Stackdriver) Pros →
"The ability to find what you are looking for when starting out could be improved."
"Datadog could be improved if it could detect other software in a container or server."
"The setup was a bit complex."
"The FinOps needs improvement."
"Datadog lacks a deeper application-level insight. Their competitors had eclipsed them in offering ET functionality that was important to us. That's why we stopped using it and switched to New Relic. Datadog's price is also high."
"The pricing is a bit confusing."
"More granular control over dashboard sharing. Timeboard sharing."
"The pricing should be less of a surprise."
"It could be even more automated."
"The product provides minimal metrics that are insufficient."
"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."
"It is difficult to estimate in advance how much something is going to cost."
"Lacking sufficient operations documentation."
"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."
"If I want to track any round-trip or breakdowns of my response times, I'm not able to get it. My request goes through various levels of the Google Cloud Platform (GCP) and comes back to my client machine. Suppose that my request has taken 10 seconds overall, so if I want to break it down, to see where the delay is happening within my architecture, I am not able to find that out using Stackdriver."
"It could be more stable."
More Google Cloud's operations suite (formerly Stackdriver) Cons →
More Google Cloud's operations suite (formerly Stackdriver) Pricing and Cost Advice →
Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 137 reviews while Google Cloud's operations suite (formerly Stackdriver) is ranked 27th in Application Performance Monitoring (APM) and Observability with 9 reviews. Datadog is rated 8.6, while Google Cloud's operations suite (formerly Stackdriver) is rated 7.8. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Google Cloud's operations suite (formerly Stackdriver) writes "Good logging and tracing but does need more profiling capabilities". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Amazon CloudWatch, whereas Google Cloud's operations suite (formerly Stackdriver) is most compared with AWS X-Ray, Azure Monitor, Amazon CloudWatch, New Relic and Grafana. See our Datadog vs. Google Cloud's operations suite (formerly Stackdriver) report.
See our list of best Application Performance Monitoring (APM) and Observability vendors, best Log Management vendors, and best Cloud Monitoring Software vendors.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.