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.
$18
per month per host
Jellyfish
Score 8.4 out of 10
N/A
Jellyfish is an Engineering Management Platform that enables engineering leaders to align engineering work with strategic business objectives. By analyzing engineering signals and contextual business data, Jellyfish provides complete visibility into engineering organizations, the work they do, and how they operate. Jellyfish Co, headquartered in Boston, states companies like SessionM (A Mastercard Company), Medium, and Toast use Jellyfish to optimize the allocation of engineering resources to…N/A
Pricing
DatadogJellyfish
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
No answers on this topic
Offerings
Pricing Offerings
DatadogJellyfish
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
DatadogJellyfish
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All AlternativesView all alternativesView all alternatives
User Ratings
DatadogJellyfish
Likelihood to Recommend
9.0
(22 ratings)
8.3
(3 ratings)
Usability
10.0
(1 ratings)
-
(0 ratings)
Support Rating
8.9
(6 ratings)
-
(0 ratings)
User Testimonials
DatadogJellyfish
Likelihood to Recommend
Datadog
Datadog works really well with complex microservices architecture like any E-commerce platform which will be having multiple services but they all are interdependent to others so in this scenario Datadog will be best to monitor these as it will show the transactions also between those microservices. If you are using multiple services in your architecture whether it will be cloud services or on prem services Datadog will be the best choice to monitor all those service with in Datadog so that you can see everything in a single place. But if you are having small architecture and few services in that then in that scenario you can use Datadog but it will be little costly as compared to other but obviously the features are very well.
Read full review
Jellyfish
Jellyfish allows us to understand the allocation of our efforts without time tracking. We are also able to integrate this platform with our existing ticket tracking system and can see analytics instantly! Jellyfish works well for our teams because it has an opinionated view. Jellyfish understands that the metrics for an engineering team should help you understand what your organization values and is actively working on. We can use Jellyfish in a strategic way compared to other tools like this.
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Pros
Datadog
  • 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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Jellyfish
  • Integration with JIRA.
  • Integration with GitHub.
  • Friendly UI.
  • Easy to read.
Read full review
Cons
Datadog
  • 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
Read full review
Jellyfish
  • UI and navigation aren't very intuitive and require additional research before being able to use.
  • The individual developer metrics are not very useful and make the interface feel cluttered.
  • Overall, it takes time for the end-user to truly learn how to use the platform and navigate. There is so much information/data available that although the above is a con, we felt it still made sense, despite the learning curve.
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Usability
Datadog
There is some room for improvement, but the Datadog team sends out updates frequently, and the UI is user-friendly for engineers, with no significant loading issues or region-specific problems. That was one of the key reasons we preferred Datadog; our company has employees worldwide, and it wasn't difficult to transition to the tool.
Read full review
Jellyfish
No answers on this topic
Support Rating
Datadog
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.
Read full review
Jellyfish
No answers on this topic
Alternatives Considered
Datadog
We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.
Read full review
Jellyfish
The really cool thing about Jellyfish is the integrations that it has with the other tools, which are also very common within the software development industry. Consolidating all this data and being able to see graphs, numbers, and percentages in one place gives you a better way to analyze and define better solutions to improve your software development processes.
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Return on Investment
Datadog
  • 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.
Read full review
Jellyfish
  • Easy setup and takes time to learn, but overall easy to use one you get the hang of it.
  • Strategic roadmapping.
  • Return on Investment increased.
Read full review
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.