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.
"Datadog has helped us a ton by allowing us to set up a multitude of easily configurable alarms across our tech stack and infrastructure."
"The solution has helped our organization with custom events to track specific cases."
"The most valuable features have been: Sharable dashboards, TimeBoards, dogstatsd API, Slack Integration, Event logging API. CloudTrail Events, Tags, alerts, and anomaly detection. EBS Volume Snapshot Age, which they added upon request."
"The visibility into our network has allowed for quick diagnosis of failures, identification of underutilized or over-utilized resources, and allowed for cloud cost optimization opportunities."
"The many dozens of integrations that the solution brings out of the box are excellent."
"By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore."
"It is a good one stop location where we keep all our data for our infrastructure, and it's also easier to navigate between different things."
"We enjoy the multistep API tests."
"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."
"The cloud login enables us to get our logs from the different platforms that we currently use."
"I like the monitoring feature."
"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."
"We find the solution to be stable."
"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."
"Google's technical support is very good."
More Google Cloud's operations suite (formerly Stackdriver) Pros →
"The menu on the left is pretty dense (and I know it has to be). I never knew about the cmd+k functionality until recently. It would be helpful to offer more tips/cheat sheets to see handy shortcuts like that."
"It would be ideal if the product offered a bit more monitoring from our dashboard."
"More granular control over dashboard sharing. Timeboard sharing."
"Auto instrumentation on tracing has not been very easy to find in the documentation."
"Stability of the product has been a concern for us outside of the primary monitoring agents."
"We would like to see some versioning system for the Synthetic Tests so that we could have a backup of our tests since they are time-consuming to make and very easy to damage in a moment of error."
"We need a lot of modules since we collect all data logs from all operating systems."
"The product needs a better Datadog agent installation."
"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."
"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."
"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."
"It could be more stable."
"Lacking sufficient operations documentation."
"The logging functionality could be better."
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.
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