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
Digital.ai Agility
Score7.1 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
Datadog
Digital.ai Agility
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
Datadog
Digital.ai Agility
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
Scenarios where it works well: 1) Retros can be very well facilitated & notes/action items can be captured against the sprint. 2) Product Owner can effectively track the story progress with all the test-cases, design etc. 3) Being good scaling support, it provides good visibility across multiple teams, programs and agile portfolios, providing a centralized environment where all our stakeholders can easily work together regardless of location. 4) It provides easy tracking all of your epics, stories, themes, defects, tasks, tests and issues 5) I like its intuitive UI as for moving stories around, burning hours. 6) It allows top leadership to visualize and report their strategic plans, giving all stakeholders the relevant data that they need to stay dedicated to the project priorities. 7) It can be easily integrated with slack so for few teams we used slack for collaboration Scenarios where it did not work well: 1) Test Management need improvement in terms of tracking tests, team had hard time tracking regression test cases. 2) Version one comes with lot of features like Rally but here we don’t get customizations which is there in Jira where from workflow to issue everything can be customized based on your team/program/portfolio requirements. 3) Lot of navigation to access basic stuff. Example I want to go to bug attachment , there are lt of clicks & navigation need to do which should be pretty straightforward I feel.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
Although Digital.ai Agility supports customizations, they can be somewhat cumbersome to set up and maintain
The Analytics engine's user experience for digging into the data does not have the same feel as the rest of the system and, as a result, can be hard to work with
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
No answers on this topic
Usability
Datadog
There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
No answers on this topic
Alternatives Considered
Datadog
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.
Key features:
Logs, metrics, and APM (Application Performance Monitoring)
Real-time alerting and dashboards
Supports Kubernetes, AWS, GCP, and other integrations
RUM (Real User Monitoring) and Synthetics
✅ Best for backend, server, and distributed systems monitoring.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
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 same amount of time.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info