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Datadog vs ScienceLogic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 5, 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
Datadog enhances efficiency, reduces downtime, and improves ROI by tracking instances, visualizing trends, and resolving performance issues.
Sentiment score
7.4
ScienceLogic users report high returns, reduced incident response times, improved troubleshooting, and benefits outweigh initial costs by year two.
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's customer service is proactive and knowledgeable, but technical support quality varies with occasional delays and inconsistencies.
Sentiment score
7.7
ScienceLogic's customer service is praised for responsiveness, knowledge, efficiency, and round-the-clock support despite occasional delays.
Problems with Skylar may require longer wait times due to limited resource expertise.
 

Scalability Issues

Sentiment score
7.6
Datadog efficiently scales with infrastructure demands, offering seamless integration and reliability, though cost management is essential.
Sentiment score
6.9
ScienceLogic offers scalability across devices, but could improve ease in scaling operations for cloud and on-premise environments.
 

Stability Issues

Sentiment score
8.0
Datadog is praised for its reliable stability, minimal disruptions, quick issue resolution, and efficient large-scale data handling.
Sentiment score
7.1
ScienceLogic is highly regarded for stability, reliability, and efficiency, with minor issues not affecting overall performance and quick recovery.
Stability should relate to whether the platform fails, stops working, or breaks.
 

Room For Improvement

Datadog users desire performance improvements, consistent APIs, clearer pricing, better support, enhanced features, and more user-friendly documentation and interface.
ScienceLogic users seek improvements in reporting, UI, API, integration, observability, performance monitoring, documentation, and proactive notifications.
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.
Integrating observability and APM monitoring into the overall portfolio would be beneficial.
 

Setup Cost

Datadog offers flexible, usage-based enterprise pricing, focusing on host count and log ingestion, requiring careful management to control costs.
ScienceLogic offers negotiable but potentially costly pricing with scalable, tier-based licenses, requiring careful cost management.
The setup cost for Datadog is more than $100.
It could be cheaper.
 

Valuable Features

Datadog excels with integration, customizable dashboards, and monitoring, offering streamlined setup, centralized data, and enhanced user insights.
ScienceLogic offers customizable dashboards, integration capabilities, AI mapping, and robust monitoring for effective IT and network management.
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.
It offers over 500 integrations with a wide range of device types, referred to as PowerPacks, which are prebuilt integrations for hundreds, if not thousands, of integration types.
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 (2nd), Cloud Security Posture Management (CSPM) (8th)
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
44
Ranking in other categories
Event Monitoring (7th), Unified Communications Monitoring (1st), Server Monitoring (12th), IT Operations Analytics (7th)
 

Mindshare comparison

As of February 2025, in the IT Infrastructure Monitoring category, the mindshare of Datadog is 6.1%, down from 6.9% compared to the previous year. The mindshare of ScienceLogic is 1.9%, up from 1.5% 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
39%
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
5%
Computer Software Company
16%
Financial Services Firm
11%
Manufacturing Company
9%
Government
8%
 

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 needs improvement with ScienceLogic?
Integrating observability and APM monitoring into the overall portfolio would be beneficial.
 

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: February 2025.
838,640 professionals have used our research since 2012.