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Datadog vs ScienceLogic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 6, 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
7.1
Organizations experienced diverse returns with Datadog, reporting time savings, reduced blindspots, enhanced visibility, integration benefits, and efficiency improvements.
Sentiment score
7.5
ScienceLogic enhances service quality, reduces incidents, and strengthens brand reputation, making it valuable for enterprises despite initial costs.
The return on investment is fair but often challenged by medium-sized businesses who may question its adequacy.
 

Customer Service

Sentiment score
7.3
Datadog customer service is responsive and professional, offering proactive support despite occasional delays in their ticket system.
Sentiment score
7.8
ScienceLogic's support team is praised for professionalism and expertise, despite occasional delays, ensuring quick resolutions and customer satisfaction.
I received excellent support from ScienceLogic.
Problems with Skylar may require longer wait times due to limited resource expertise.
 

Scalability Issues

Sentiment score
7.6
Datadog scales efficiently with diverse technologies, though rising costs and limited API capabilities remain concerns for some users.
Sentiment score
6.9
ScienceLogic effectively handles global scalability, despite some hardware challenges, and supports enterprise growth with customizable automation features.
 

Stability Issues

Sentiment score
8.0
Datadog offers reliable performance with minimal downtime, resolving integration issues promptly and maintaining consistent uptime even during peak traffic.
Sentiment score
7.1
ScienceLogic is stable and scalable, though occasional bugs occur during upgrades; users rate its stability between six and nine.
The stability rating is nine out of ten, acknowledging some bugs, but indicating these are minor issues.
 

Room For Improvement

Datadog struggles with performance, usability, and cost issues, requiring improvements in integration, documentation, and user interface.
ScienceLogic needs better reporting, user interface, vendor support, simpler integration, improved API, and efficient application monitoring for enterprises.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
There should be a clearer view of the expenses.
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

Datadog's pricing model is flexible yet can be costly, requiring careful planning to optimize its comprehensive features and avoid surprises.
ScienceLogic offers flexible yet potentially high pricing, starting at $25K, with costs based on device count and features.
The setup cost for Datadog is more than $100.
ScienceLogic is not that expensive and is cost-effective overall.
It could be cheaper.
 

Valuable Features

Datadog excels in integration, monitoring, and data visualization, enhancing system reliability and efficiency with seamless AWS synchronization.
ScienceLogic provides scalable, customizable monitoring with advanced analytics and integration, enhancing service delivery through intuitive and flexible solutions.
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.
The technology itself is generally very useful.
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
3rd
Ranking in IT Infrastructure Monitoring
2nd
Ranking in Cloud Monitoring Software
1st
Ranking in AIOps
1st
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
188
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Log Management (3rd), Container Monitoring (1st), Cloud Security Posture Management (CSPM) (7th)
ScienceLogic
Ranking in Network Monitoring Software
27th
Ranking in IT Infrastructure Monitoring
24th
Ranking in Cloud Monitoring Software
19th
Ranking in AIOps
7th
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
45
Ranking in other categories
Event Monitoring (7th), Unified Communications Monitoring (1st), Server Monitoring (12th), IT Operations Analytics (7th)
 

Mindshare comparison

As of May 2025, in the IT Infrastructure Monitoring category, the mindshare of Datadog is 5.7%, down from 7.0% compared to the previous year. The mindshare of ScienceLogic is 1.8%, up from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring
 

Featured Reviews

Kevin Palmer - PeerSpot reviewer
Useful log aggregation and management with helpful metrics aggregation
Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.
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
Educational Organization
31%
Computer Software Company
11%
Financial Services Firm
11%
Manufacturing Company
6%
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Government
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
ScienceLogic is working towards a kind of AI, DKAIRA enablement, but I find one dependency is the frequent need to rely on professional services. If the knowledge for implementation could be spread...
 

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: April 2025.
849,686 professionals have used our research since 2012.