Datadog vs. Google Cloud Operations Suite

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.4 out of 10
N/A
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.
$1.27
per month (billed annually) per host
Google Cloud Operations Suite
Score 7.2 out of 10
N/A
The Google Cloud Operations Suite (formerly Stackdriver) is an APM platform based on three tools for error detection, tracing, and resolution. It manages cloud-based or on-premise applications in live or mid-production environments.
$0.01
per 1,000 read API calls
Pricing
DatadogGoogle Cloud Operations Suite
Editions & Modules
Log Management
$1.27
per month (billed annually) per host
Infrastructure
$15.00
per month (billed annually) per host
Standard
$18
per month per host
Enterprise
$27
per month per host
DevSecOps Pro
$27
per month per host
APM
$31.00
per month (billed annually) per host
DevSecOps Enterprise
$41
per month per host
Monitoring API Calls
$0.01
per 1,000 read API calls
Trace Ingestion
$0.20
per million spans
Monitoring Data
$0.26
per MB
Logging Data
$0.50
per GB
Offerings
Pricing Offerings
DatadogGoogle Cloud Operations Suite
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
More Pricing Information
Community Pulse
DatadogGoogle Cloud Operations Suite
Features
DatadogGoogle Cloud Operations Suite
Application Performance Management
Comparison of Application Performance Management features of Product A and Product B
Datadog
-
Ratings
Google Cloud Operations Suite
8.6
Ratings
12% above category average
Application monitoring00 Ratings9.10 Ratings
Database monitoring00 Ratings9.10 Ratings
Threshold alerts00 Ratings7.30 Ratings
Predictive capabilities00 Ratings9.00 Ratings
Application performance management console00 Ratings6.40 Ratings
Collaboration tools00 Ratings9.00 Ratings
Out-of-the box templates to monitor applications00 Ratings9.00 Ratings
Application dependency mapping and thresholding00 Ratings8.00 Ratings
Virtualization monitoring00 Ratings10.00 Ratings
Server availability and performance monitoring00 Ratings8.20 Ratings
Server usage monitoring and capacity forecasting00 Ratings8.20 Ratings
IT Asset Discovery00 Ratings10.00 Ratings
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DatadogGoogle Cloud Operations Suite
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User Ratings
DatadogGoogle Cloud Operations Suite
Likelihood to Recommend
9.0
(0 ratings)
8.2
(0 ratings)
Usability
10.0
(0 ratings)
-
(0 ratings)
Support Rating
8.9
(0 ratings)
10.0
(0 ratings)
User Testimonials
DatadogGoogle Cloud Operations Suite
Likelihood to Recommend
A one-stop solution for everything you need. Multiple functionalities are tailored to meet specific business needs. Logs are essential for any business, and Datadog manages logs effectively. Rum sessions are something new to me and have given us a new perspective on how to reverse engineer issues that we see for our customers.
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Stackdriver is really a very good tool for errors and reporting. It provides the application issues especially the exception errors and sends the alerts. It's available for multiple languages like Python, GO and Java, etc. The best part is all the application errors are available at a single place and it comes with the GAE application. It's slow if you want to search very old logs and need to wait couple of hrs sometimes.
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Pros
  • Create Dashboards as per application, environments, and Custom metrics in one panel.
  • Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
  • Playbooks, SLA definition, success and error quotas, request visualizations.
  • DB monitoring, Serverless stack monitoring.
  • Alerting of Production incidents so we can quickly resolve the issues on time.
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  • All the application error reporting available at a single place.
  • You will get the real-time application error and alerts.
  • It's really easy to use and no need to worry for the setup.
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Cons
  • Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
  • I would appreciate more supportive examples for how to filter and view metrics in the explorer
  • I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame
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  • For searching and filtering the logs the system is slow sometimes.
  • An agent needs to be installed in each VM to monitor specific metrics.
  • The pricing model is confusing.
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Usability
Datadog's user interface is quite friendly and easy to navigate. With menus clearly categorized, and ability to bookmark important dashboards, one can easily find what they're looking for. For dashboards, ability to move and resize visualizations and group them, is really helpful to organize dashboards. Automatic suggestions from Datadog for important visualizations based on the metrics and logs would provide another level of ease of use.
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No answers on this topic
Support Rating
The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.
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It is also a great problem detection tool, and this is extremely important for General Motors.
The user can count on the ease of flexible panels and advanced visualization tools that help to identify problems. Among the most common, we can mention:
- containment of hosts;
- cloud provider limitation;
- hardware wear.
And also Stackdriver Integration with other Google Cloud data tools such as BigQuery, Cloud Pub/Sub, Cloud Storage and Cloud Database.
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Alternatives Considered
I selected Datadog because of its features and the wide range of integration support. As I already told it supports more that 600+ integrations which helps and organization to keep everything in a single place and also its AI feature which is reducing the time for root cause analysis. Its custom dashboards features which helps us to visualize the data in a more attractive way.
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Honestly, because it is from Google, we also mainly chose this product on the recommendation of other friends and businesses, and because of its reliability, security and ease of access. It also has excellent technical support and warranty. The staff is fast and super efficient and always helps us when we need help.
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Return on Investment
  • Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
  • Alerts allow us to remedy issues before our customers even know about them
  • Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.
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  • Record storage and search.
  • Real-time insights.
  • Troubleshooting without interruption.
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ScreenShots

Datadog Screenshots

Screenshot of the out-of-the-box and customizable monitoring dashboards.Screenshot of Datadog's collaboration features, where users can discuss issues in-context with production data, annotate changes and notify their teams, see who responded to that alert before, and discover what was done to fix it.Screenshot of where Datadog unifies traces, metrics, and logs—the three pillars of observability.Screenshot of some of Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map, which decomposes an application into all its component services and draws the observed dependencies between these services in real timeScreenshot of centralized log data, pulled from any source.