Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.6 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
GitLab
Score 8.7 out of 10
N/A
GitLab is an intelligent orchestration platform for DevSecOps, where software teams enable AI at every stage of the software lifecycle to ship faster. The platform enables teams to automate repetitive tasks across planning, building, securing, testing, deploying, and maintaining software.
$0
per month per user
Logz.io
Score 8.5 out of 10
Small Businesses (1-50 employees)
Logz.io in Boston offers their enterprise-grade log analytics application, oriented towards providing data security and eliminating the need for capacity management.
$0.84
per ingested GB 3 day of log retention
Pricing
DatadogGitLabLogz.io
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
GitLab Free (self-managed)
$0
GitLab Free
$0
GitLab Premium
$29
per month per user
GitLab Premium (self-managed)
$29
per month per user
GitLab Ultimate
Contact Sales
GitLab Ultimate (self-managed)
Contact Sales
Log Management - Community
$0
1 day of log retention.
Log Management - Pro
$.92
per ingested GB. 7 days retention.
Distributed Tracing - Pro
$5
Per million spans.
Infrastructure Monitoring - Pro
$12
per month per 1000 time-series metrics.
Log Management - Enterprise
Custom
Cloud SIEM - Enterprise
from $1.49
per ingested GB. Price includes Logz.io Log Management
Offerings
Pricing Offerings
DatadogGitLabLogz.io
Free Trial
YesYesYes
Free/Freemium Version
YesYesYes
Premium Consulting/Integration Services
NoYesNo
Entry-level Setup FeeOptionalOptionalNo setup fee
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).GitLab Credits enable flexible, consumption-based access to agentic AI capabilities in the GitLab platform, allowing you to scale AI adoption at your own pace while maintaining cost predictability. Powered by Duo Agent Platform, GitLab’s agentic AI capabilities help software teams to collaborate at AI speed, without compromising quality and enterprise security. If usage exceeds monthly allocations and overage terms are accepted, automated on-demand billing activates without service interruption, so your developers never lose access to AI capabilities they need. Real-time dashboards provide transparency into AI consumption patterns. Software teams can see usage across users, projects, and groups with granular attribution for cost allocation. Automated threshold alerts facilitate proactive planning. Advanced analytics deliver trending, forecasting, and FinOps integration.
More Pricing Information
Community Pulse
DatadogGitLabLogz.io
Considered Multiple Products
Datadog
Chose 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.
GitLab
Chose GitLab
GitLab is rich in features and access control if compared with GitHub also GitHub stands no where in CI/CD if compared with GitLab.
GitLab CI/CD is mature, robust and far better than GitHub actions in all means.
If I talk about quality of support and reponse time of GitLab it is …
Logz.io
Chose Logz.io
Logz.io is more affordable, less work to maintain, and has more features. It was an easy choice. After my last team had to manage their own ELK stack, this was a no brainer. It helps us be focused on our core competencies.
Chose Logz.io
It is more focused in its approach which makes it really good for aggregating and analyzing logs. It has been way more helpful than New Relic APM for us. Data dog is nice but has some different focuses as well.
Best Alternatives
DatadogGitLabLogz.io
Small Businesses
InfluxDB
InfluxDB
Score 8.8 out of 10
GitGuardian
GitGuardian
Score 9.0 out of 10
InfluxDB
InfluxDB
Score 8.8 out of 10
Medium-sized Companies
Sumo Logic
Sumo Logic
Score 8.8 out of 10
Veracode
Veracode
Score 8.8 out of 10
Sumo Logic
Sumo Logic
Score 8.8 out of 10
Enterprises
NetBrain Technologies
NetBrain Technologies
Score 9.2 out of 10
Veracode
Veracode
Score 8.8 out of 10
NetBrain Technologies
NetBrain Technologies
Score 9.2 out of 10
All AlternativesView all alternativesView all alternativesView all alternatives
User Ratings
DatadogGitLabLogz.io
Likelihood to Recommend
9.4
(55 ratings)
8.3
(152 ratings)
9.0
(9 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(5 ratings)
10.0
(1 ratings)
Usability
9.2
(34 ratings)
10.0
(6 ratings)
9.0
(4 ratings)
Availability
-
(0 ratings)
-
(0 ratings)
9.0
(1 ratings)
Performance
-
(0 ratings)
9.0
(1 ratings)
9.0
(1 ratings)
Support Rating
8.9
(6 ratings)
10.0
(12 ratings)
8.1
(2 ratings)
Configurability
-
(0 ratings)
-
(0 ratings)
9.0
(1 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
-
(0 ratings)
9.0
(1 ratings)
Ease of integration
-
(0 ratings)
-
(0 ratings)
9.0
(1 ratings)
Product Scalability
-
(0 ratings)
10.0
(1 ratings)
9.0
(1 ratings)
Professional Services
-
(0 ratings)
-
(0 ratings)
9.0
(1 ratings)
Vendor post-sale
-
(0 ratings)
-
(0 ratings)
9.0
(1 ratings)
Vendor pre-sale
-
(0 ratings)
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
DatadogGitLabLogz.io
Likelihood to Recommend
Datadog
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.
Read full review
GitLab
GitLab is good if you work a lot with code and do complex repository actions. It gives you a very good overview of what were the states of your branches and the files in them at different stages in time. It's also way easier and more efficient to write pipelines for CI\CD. It's easier to read and it's easier to write them. It takes fewer clicks to achieve the same things with GitLab than it does for competitor products.
Read full review
Logz.io
Logz.io is an effective solution if your alerting needs are fairly straightforward and you don't need long-term retention of logs with easy access. If being able to maintain easy access to logs longer than this is necessary, another solution might be better. If you need a high degree of precision with alerting triggers and the ability to suppress alerts, you will need to combine Logz.io with an integration to get this or you might consider a different solution.
Read full review
Pros
Datadog
  • 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.
Read full review
GitLab
  • GitLab excels in managing code versions, allowing easy tracking of changes, branch management, and merging contributions.
  • It helps maintain code stability and reliability, saving time and effort in the development or research workflow.
  • Powerful code review features, enabling collaboration and feedback among team members.
  • Robust project management features, including issue tracking, kanban boards, and milestones.
Read full review
Logz.io
  • Well documented and easy to set up.
  • Their alerting mechanism is really great especially when it comes to application monitoring.
  • Our data analysis in Kibana is made easy with the solution for Logz.io.
  • The issue checking and fixing is escalated quickly and is reported in time.
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
GitLab
  • CI variables management is sometimes hard to use, for example, with File type variables. The scope of each variable is also hard to guess.
  • Access Token: there are too many types (Personal, Project, global..), and it is hard to identify the scope and where it comes from once created.
  • Runners: auto-scaled runners are for the moment hard to put in place, and monitoring is not easy.
Read full review
Logz.io
  • Its price can be very high, so you should have good control of it to avoid exaggerated figures.
  • Some functions can be confusing.
  • It has limits to create subaccounts, which is a big problem for large companies.
Read full review
Likelihood to Renew
Datadog
Definitely will not revisit after our issues and, in my opinion, poor support.
Read full review
GitLab
I really feel the platform has matured quite faster than others, and it is always at the top of its game compared to the different vendors like GitHub, Azure pipelines, CircleCI, Travis, Jenkins. Since it provides, agents, CI/CD, repository hosting, Secrets management, user management, and Single Sign on; among other features
Read full review
Logz.io
Really easy to use and ship the logs Good customer support Easy integration with the modules
Read full review
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.
Read full review
GitLab
I find it easy to use, I haven't had to do the integration work, so that's why it is a 9/10, cause I can't speak to how easy that part was or the initial set up, but day to day use is great!
Read full review
Logz.io
I initially struggled trying to ensure the correct data was returned in the Kibana search, but I found it overall easy to use. Some of the UI is not as seamless as I'd expect, like changing the environment completely resets your search criteria and filters, which is annoying since it's a common use case to search something in multiple environments
Read full review
Reliability and Availability
Datadog
No answers on this topic
GitLab
I've never had experienced outages from GItlab itself, but regarding the code I have deployed to Gitlab, the history helps a lot to trace the cause of the issue or performing a rollback to go back to a working version
Read full review
Logz.io
No answers on this topic
Performance
Datadog
No answers on this topic
GitLab
GItlab reponsiveness is amazing, has never left me IDLE. I've never had issues even with complex projects. I have not experienced any issues when integrating it with agents for example or SSO
Read full review
Logz.io
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
GitLab
At this point, I do not have much experience with Gitlab support as I have never had to engage them. They have documentation that is helpful, not quite as extensive as other documentation, but helpful nonetheless. They also seem to be relatively responsive on social media platforms (twitter) and really thrived when GitHub was acquired by Microsoft
Read full review
Logz.io
Their support team is the best in the world! They supported us in most of the critical times and helped to resolve the issue in real time. Also their email support is well maintained and never a mail is missed unanswered. Kudos to the support team of logz.io for maintaining professionalism.
Read full review
Implementation Rating
Datadog
Documentation was difficult to work through, rollout was catastrophic (completely outage)
Read full review
GitLab
No answers on this topic
Logz.io
Implementation of logzio is easy. Exporting the logs with filebeat agent is our main key source.
Read full review
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.
Read full review
GitLab
Gitlab seems more cutting-edge than GitHub; however, its AI tools are not yet as mature as those of CoPilot. It feels like the next-generation product, so as we selected a tool for our startup, we decided to invest in the disruptor in the space. While there are fewer out-of-the-box templates for Gitlab, we have never discovered a lack of feature parity.
Read full review
Logz.io
Logz.io is more affordable, less work to maintain, and has more features. It was an easy choice. After my last team had to manage their own ELK stack, this was a no brainer. It helps us be focused on our core competencies.
Read full review
Scalability
Datadog
No answers on this topic
GitLab
I think is very well designed, and like any VCS it works as intended
Read full review
Logz.io
No answers on this topic
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
GitLab
  • GitLab cut down our spent on container, package and infrastructure registry
  • Best thing is we can now have everything in single platform which cost effective too
  • Quality of support is really good and they do have emergency support team as well which is great
Read full review
Logz.io
  • about the investment, this tool is helping in our day to day activities
  • easy to troubleshoot the errors
  • simple and powerful
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.

GitLab Screenshots

Screenshot of What is Intelligent Orchestration for DevSecOps?Screenshot of an overview of GitLab Duo Agent PlatformScreenshot of a new agent creation screen