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Datadog vs ScienceLogic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 19, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.5
Organizations experience significant cost efficiency and improved reliability with better debugging, proactive monitoring, and infrastructure optimization.
Sentiment score
7.0
ScienceLogic enhances efficiency, visibility, and reduces incidents, providing long-term ROI and improved company image and operations.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.
The return on investment is fair but often challenged by medium-sized businesses who may question its adequacy.
 

Customer Service

Sentiment score
6.7
Datadog support is praised for responsiveness and expertise, though some report variability in response time and communication issues.
Sentiment score
7.8
ScienceLogic's support is praised for responsiveness, expertise, and proactive problem-solving, often deemed industry-leading by users.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
Problems with Skylar may require longer wait times due to limited resource expertise.
I received excellent support from ScienceLogic.
We have a lab environment to test solutions before offering them to customers, ensuring everything works correctly.
 

Scalability Issues

Sentiment score
7.6
Datadog offers excellent scalability and integration, but costs can rise without careful monitoring; users praise its efficiency.
Sentiment score
6.7
ScienceLogic excels in scalability and adaptability, supporting large deployments, though minor challenges exist in hardware and user onboarding.
Datadog's scalability has been great as it has been able to grow with our needs.
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.
 

Stability Issues

Sentiment score
8.0
Datadog is praised for its stability, reliable uptime, minimal disruptions, and quick incident responses, ensuring consistent monitoring.
Sentiment score
7.0
ScienceLogic is reliable and stable, with strong support, handling large volumes efficiently despite minor bugs during upgrades.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Datadog seems stable in my experience without any downtime or reliability issues.
These incidents are related to log service, indexes, and metric capturing issues.
Stability should relate to whether the platform fails, stops working, or breaks.
 

Room For Improvement

Datadog needs improvements in query performance, user interface, integrations, documentation, cost management, mobile features, and alert customization.
ScienceLogic struggles with complexity, requiring UI simplification, integration improvements, better support, and enhanced monitoring and automation features.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
While some other companies have easier APIs, using this solution demands significant expertise.
If the knowledge for implementation could be spread through articles, it would reduce this dependency.
Integrating observability and APM monitoring into the overall portfolio would be beneficial.
 

Setup Cost

Enterprise users find Datadog's pricing high yet reasonable, with monitoring needed due to usage-based billing and potential cost variability.
ScienceLogic offers flexible but potentially costly pricing, emphasizing understanding business needs to justify its robust capabilities.
The setup cost for Datadog is more than $100.
Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.
My experience with pricing, setup cost, and licensing is that it is really expensive.
It could be cheaper.
ScienceLogic is not that expensive and is cost-effective overall.
 

Valuable Features

Datadog offers insights, monitoring, and alerting with customizable dashboards for efficient issue resolution and enhanced performance optimization.
ScienceLogic delivers versatile IT management with robust monitoring, automation, and integration, ensuring efficient operations across diverse infrastructures.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.
Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
Notably, its automation features, such as Runbook action, enable domain experts like me to execute one-click automation solutions, which contributes significantly to reducing MTTR.
The solution excels in three areas: application monitoring, server monitoring, and network performance monitoring.
The CMDB update and the automatic CMDB update are valuable.
 

Categories and Ranking

Datadog
Ranking in Network Monitoring Software
4th
Ranking in IT Infrastructure Monitoring
3rd
Ranking in Cloud Monitoring Software
2nd
Ranking in AIOps
1st
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
207
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Log Management (4th), Container Monitoring (2nd), Cloud Security Posture Management (CSPM) (6th)
ScienceLogic
Ranking in Network Monitoring Software
26th
Ranking in IT Infrastructure Monitoring
18th
Ranking in Cloud Monitoring Software
15th
Ranking in AIOps
10th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
46
Ranking in other categories
Event Monitoring (6th), Unified Communications Monitoring (1st), Server Monitoring (12th), IT Operations Analytics (7th)
 

Mindshare comparison

As of November 2025, in the IT Infrastructure Monitoring category, the mindshare of Datadog is 4.8%, down from 6.1% compared to the previous year. The mindshare of ScienceLogic is 1.7%, down from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Market Share Distribution
ProductMarket Share (%)
Datadog4.8%
ScienceLogic1.7%
Other93.5%
IT Infrastructure Monitoring
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
Has improved incident response with better root cause visibility and supports flexible on-call scheduling
Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.
Michael Wenn - PeerSpot reviewer
Offers comprehensive monitoring and tool consolidation but integration complexity needs improvement
There is room for improvement in the speed of setting up the service and integrating PowerPacks. Although these prebuilt features are great, there is considerable complexity in bringing them together to create a unified dashboard. Even with many good integrations and deep visibility, the implementation takes time, especially when it doesn't involve these integrations. While some other companies have easier APIs, using this solution demands significant expertise. It's challenging for new customers to implement independently. The implementation speed of non-PowerPack or non-out-of-the-box integrations should be improved. Additionally, the AI automation feature is not yet very rich due to resource constraints supporting a wide platform.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
8%
Retailer
6%
Financial Services Firm
12%
Manufacturing Company
10%
Government
10%
Computer Software Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise95
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise11
Large Enterprise24
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
What do you like most about ScienceLogic?
The tool is quite easy to deploy, and it offers very good support.
What is your experience regarding pricing and costs for ScienceLogic?
ScienceLogic is not that expensive and is cost-effective overall.
What needs improvement with ScienceLogic?
I am interested in improving the flexibility of ScienceLogic's user interface, configuration, and customization. I am particularly keen on learning about issues raised by the ScienceLogic support t...
 

Comparisons

 

Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
Kellogg Company, Booz Allen, Cisco, Red Bull, Fidelus, Telstra, Comcast, CSC, Peak 10, HughesNet, Hosting, Datapipe, US Army, Equinix, Rite Aid, Carbonite, Sybase, Carpathia, AT&T, ePlus, Dimension Data, Virtustream, Boeing, Honeywell
Find out what your peers are saying about Datadog vs. ScienceLogic and other solutions. Updated: October 2025.
872,846 professionals have used our research since 2012.