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.
"Excellent autocomplete for everything in the UI."
"Even if we don't end up using Datadog, it revealed problems and optimizations to us that weren't obvious before."
"The full stack of integrations made it easier to monitor the different technologies and platform providers, including Software as a Service providers, that otherwise would need a lot of work and customization to be able to see what is happening."
"Integrating Datadog with other platforms has made our monitoring processes a bit easier. It's not super simple, but it's manageable."
"By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore."
"We integrate our application logs. It is great to be able to tie our metrics and our traces together."
"The solution is useful for monitoring logs."
"The dashboards and the performance of the software have been great."
"We find the solution to be stable."
"The cloud login enables us to get our logs from the different platforms that we currently use."
"Provides visibility into the performance uptime."
"I like the monitoring feature."
"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."
"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."
"It's easy to use."
"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."
More Google Cloud's operations suite (formerly Stackdriver) Pros →
"We would really like to see more from the Service Catalog."
"Lacks some flexibility in the customization."
"Sometimes, it takes a long time to load the dashboard if we have many charts."
"Datadog is so feature-rich that it is often hard to onboard new folks and tough to decide where to invest time."
"There is always room for improvement when dealing with cloud-based technologies. Mainly, I would say, it's just increasing our offerings to attract various other types of industries and businesses across more fields."
"I'm still exploring the trial version, and it is fine. One thing that I haven't been able to figure out is how to retrieve a report. This is something that could be improved. I probably need to navigate to a place to access the reports."
"The setup was a bit complex."
"Sometimes it’s difficult to customize certain queries to find specific things, specifically with the logging solution."
"The logging functionality could be better."
"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."
"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."
"It is difficult to estimate in advance how much something is going to cost."
"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 even more automated."
"Lacking sufficient operations documentation."
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, Grafana and New Relic. 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.