Bugsnag is an application health and error tracking application, now from Smartbear since the April 2021 acquisition, for monitoring web application stability, and alerting developers to app issues and error-rate in real-time.
N/A
Datadog
Score 8.7 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
Digital.ai Agility
Score 7.2 out of 10
N/A
Digital.ai Agility (formerly VersionOne) helps organizations harness the power of their people’s knowledge, processes, and technology to build agile practices that scale across the enterprise. Its capabilities enable organizations to align products and investments with strategic business goals by coordinating planning, tracking, and reporting work across large distributed companies. Digital.ai Agility connects business strategy with team execution, providing a unified view at all levels,…
N/A
Pricing
BugSnag
Datadog
Digital.ai Agility
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
No answers on this topic
Offerings
Pricing Offerings
BugSnag
Datadog
Digital.ai Agility
Free Trial
Yes
Yes
No
Free/Freemium Version
No
Yes
No
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
Optional
No setup fee
Additional Details
—
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
Datadog is significantly more user-friendly than CloudWatch.In terms of capabilities, they're similar. I would not call either of the best-in-class for any single feature, but Datadog feels more polished and ready to use overall.Multi-cloud monitoring is a clear differentiator …
I use Datadog because it concentrates all these features into a single tool, facilitating the learning curve that my platform and development engineering team needs in order to be able to set up the monitors/alerts/SLIs/SLOs as well as to diagnose a production issue. Its easier …
Datadog seems to be the most feature-rich of all the alternatives we've considered, however due to problems outlined earlier, some of the others have benefits. OpenTel can give us a way to make our platforms compatible with a variety of vendors, and can be done without …
Datadog is a more complex but complete solution than any of the other Log Aggregation, monitoring, or general observabilty tools that we have trialed. I found it easier to setup following useful and up-to-date documentation provided directly by Datadog instead of scattered …
Kibana Datadog … because within our usecase we have all the events in kibana but sampled traces in Datadog … but if we had all the traces it would have been much more useful
I think Datadog and sentry serve different needs. I like sentry to keep track of errors on our systems. And then I'll jump into Datadog to investigate those issues.
We have utilized a SIEM in the past, but it was a very manual process to set it up. Content packs make it very easy to set up and get alerting instantly. Datadog takes out a lot of headaches for our security team, since they no longer have to create custom alerts for every …
First think first - it's easy to use, and very easy to implement in any infrastructure. It provides a custom dashboard and monitors. I’ve used or evaluated Grafana, Prometheus, Amazon CloudWatch, and Dynatrace, and each tool has strong capabilities. Prometheus + Grafana provide …
All other tools dont have all the features which Datadog provides. Easy to use from UI where other may have complicated UI or no UI at all to create monitors. Consider like AWS grafana, we have limitation to create monitors from UI. There is no recurring downtime for monitors. …
UI of the Datadog is easy to understand and integration steps are easy to understand. It also provides the troubleshooting steps which are easy to understand. Supports multi cloud integrations which is very important for all the customers to know about the cloud service's …
we primarily use Kubernetes, and Prometheus is great for collecting time series metrics, especially in Kubernetes. and Grafana is used for dashboards. As these are open source, we host them and manage them internally. We choose Datadog because of its logs, traces, and …
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 …
1. Grafana is good, but a lot of integration is required for it to work. .that not the case of Datadog 2. Faster to set up Datadog instead of Grafana 3. Alerting in Datadog feels much easier thanin Grafana.
Datadog is best for cloud-native and fast-setup. It is more mature for infrastructure and real-time observability. The UI is more user-friendly and provides wide coverage of app insights.
I have tried and used a number of other tools similar to Datadog such as New Relic, Splunk, Prometheus, AWS cloudwatch and Dynatrace. New Relic and Splunk provide excellent monitoring and analytics, but Datadog’s consolidated dashboards and ease of setup combined with a wealth …
Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.
ease of use and implementation, other than new relic (which I think is terrible in every possible way), the other two support opentelemetry better, have more manageable costs and comparable basic services, but they do not have the breadt of services dd does.
We moved to Datadog from Microsoft's Application Insights. Application Insights did a fine job in allowing us to view our application data, but it lacked the holistic view of all our infrastructure and other platforms that could not use Application Insights. Being able to …
In terms of usability, I’ve found Datadog significantly more approachable and powerful compared to Elasticsearch, especially for day-to-day operational monitoring. Datadog offers a much more cohesive, user-friendly interface out of the box, with built-in support for metrics, …
Digital.ai Agility provided a better user experience with more functionality geared towards the type of processes our team was following. Trello was too basic and did not have nearly the functionality we needed. Azure DevOps had many of the same features as Digital.ai …
Vice President, Chief Architect, Development Manager and Software Engineer
Chose Digital.ai Agility
The waterfall evangelists wanted MS Project. Some Agile enthusiasts wanted Rally and some wanted VersionOne. We did an evaluation and looked at how each tool supported them. We mainly use VersionOne, but since the PM team is from a center of excellence, they still use …
These two are close; however, CollabNet VersionOne offers more flexibility and control. Admin users have a wider variety of customization options and integration with 3rd party applications
We considered rally & Agilecraft since they also provides good support to SAFe framework. Though I personally found Rally better equipped but Rally was rejected due to its higher cost.
Adobe Experience Manager Mobile High Profile Quality Engineer
Chose Digital.ai Agility
JIRA appears to be more extensible with the ability for Scrum, Kanban, bug/incident tracking, and the ability to customize dashboards. However, VersionOne's performance over the same teams is extremely fast in comparison and therefore allows users to be more productive over the …
Mingle is more easy to do business with regarding customizations. We wanted features like task lists, reporting across project boards on a company level. Mingle was able to accommodate such changes.
Basecamp functions much differently from Version One and serves a different purpose, so it's kind of like comparing apples and oranges. However, both V1 and Basecamp have their pros and cons. V1 makes it easier to manage Agile processes, but Basecamp is more user-friendly and …
I didn't select Jira myself, but Jira has drag & drop capability for attachments; a better search engine; much more customization available per team; a cleaner look and feel; great integration with Zephyr for test case management; and story items are not as bloated with fields.
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.
Digital.ai Agility is an ideal tool for anyone who is looking to track the work of a software development team following agile processes. It easily supports multiple teams with multiple backlogs, but also allows aggregation and rollup across those teams for larger analysis and planning.
For really long bugs, it'd be nice if you hovered over the row and it expanded the text so you didn't have to click on the actual bug to view everything.
It would be nice if there was a filter for grouping bugs instead of searching by their name.
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
Saving of changes is inconsistent. Sometimes the changes appear to save automatically and other times the user needs to click the "Apply" button. Until the user is familiar with when this needs to happen, work can easily be lost.
This may be a setup configuration issue, but it would be good to be able to set the default team when creating stories. Too often stories are created and the user forgets to enter the team and they need to search the entire database for the story that was just created.
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.
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.
VersionOne provides outstanding training. They have Product Owner training that I recommend every Product Owner attend. They have scrum master training and other agile training that was well worth the money paid because it made the teams more productive. And the support for the tool is incredible. These people live and breathe Agile and are evangelists and enthusiasts.
Datadog is a more complex but complete solution than any of the other Log Aggregation, monitoring, or general observabilty tools that we have trialed. I found it easier to setup following useful and up-to-date documentation provided directly by Datadog instead of scattered around many blogs or articles. I would love to have my own Grafana + Prometheus expert to setup all the peices we need but you're paying for expertise there instead of an experience with Datadog.
We considered rally & AgileCraft since they also provides good support to SAFe framework. Though I personally found Rally better equipped but Rally was rejected due to its higher cost. AgileCraft & Version One provides many common features i.e Team Rooms, Planning Rooms, Capabilities Kanban, Road mapping but Version One support for collaboration tools & its seamless integration with GitHub played key role in going with Version One.
At first, it was difficult for the teams as we were learning Agile and VersionOne. But VersionOne provided us with great training and support. As such the teams were able to quickly adopt and embrace Agile.