Copado vs. Datadog

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Copado
Score 8.0 out of 10
N/A
Copado is a Salesforce-native DevOps platform that helps teams deliver software faster, with less risk and more confidence.N/A
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
Pricing
CopadoDatadog
Editions & Modules
No answers on this topic
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
Offerings
Pricing Offerings
CopadoDatadog
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
More Pricing Information
Community Pulse
CopadoDatadog
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CopadoDatadog
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Medium-sized Companies
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Score 9.0 out of 10
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Score 9.4 out of 10
Enterprises
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Score 7.6 out of 10
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Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
CopadoDatadog
Likelihood to Recommend
8.5
(0 ratings)
9.0
(0 ratings)
Usability
-
(0 ratings)
10.0
(0 ratings)
Support Rating
-
(0 ratings)
8.9
(0 ratings)
User Testimonials
CopadoDatadog
Likelihood to Recommend
Very well suited if there are 3+ developers in the team. Very easy to maintain individual sandboxes and connect it to the pipeline. With just few clicks, it will create its git branches on its own and syncs with the sandboxes. Very helpful and time saving. might be expensive for small teams
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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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Pros
  • Metadata Deployments
  • Data Deployments
  • Salesforce CPQ deployments that require a lot of various Data
  • Transferring deployments between teams.
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  • 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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Cons
  • For data migration, they can increase the limitations
  • The table of components in the build section can be improved
  • Hard to understand how to destructive changes. Sometimes facing issued after deleting the field or component that need to be deleted with destructive changes
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  • 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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Usability
very good user interface. It has reduced tons of manual efforts for the developers. Very easy to validate the release work. Easy to club multiple stories into one deployment. We can integrate Copado with our JIRA and all the PR’s are visible under the user story on JIRA board. But this can be overwhelming for beginners
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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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Support Rating
No answers on this topic
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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Alternatives Considered
There are tools such as ANT migration tool or using sfdx but Copado makes the deployments super simple. If a user is not that technically strong still he can use Copado and deploy the changes in a few clicks. Copado provides a complete package of maintaining the development and repositories in a common platform. There are pipelines that you can set that changes will move from which org to the final org in a very organized manner. We can perform static code analysis at the time of deployment of the changes and we have to clear those if we need to deploy the changes. Creating pull requests is super easy and can be managed by Copado itself. Overall a superb managed package for deployment in Salesforce.
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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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Return on Investment
  • It has reduced the efforts to create package.xml manually and deploy the changes
  • Another positive impact is that we can track the commits to which org they have reached in an organized way and we don't need to maintain them separately
  • For setting Copado it take a lot of time and training is required for the complete setup which is time-consuming
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  • 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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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.