ScienceLogic vs Unomaly comparison

ScienceLogic and LogicMonitor are both solutions in the Cloud Monitoring Software category. ScienceLogic is ranked #14 with an average rating of 8.7, while LogicMonitor is ranked #39 with an average rating of 7.0. ScienceLogic holds a 2.6% mindshare in CMS, compared to LogicMonitor’s 0.2% mindshare. Additionally, 93% of ScienceLogic users are willing to recommend the solution, compared to 100% of LogicMonitor users who would recommend it.

ScienceLogic

Read 46 ScienceLogic reviews

5,321 Views
2,341 Comparison Views

93% willing to recommend

Unomaly

Read 1 Unomaly review

216 Views
210 Comparison Views

100% willing to recommend

ScienceLogic

Unomaly

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Executive Summary

We performed a comparison between ScienceLogic and Unomaly based on real PeerSpot user reviews.

Find out what your peers are saying about Datadog, Zabbix, Auvik and others in Cloud Monitoring Software.

To learn more, read our detailed Cloud Monitoring Software Report (Updated: March 2026).

Buyer's Guide

Cloud Monitoring Software

March 2026

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Helped 885,667 peers since 2012

Review summaries and opinions

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

Categories and Ranking

ScienceLogic

Ranking in Cloud Monitoring Software

14th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Event Monitoring (7th), Unified Communications Monitoring (1st), Network Monitoring Software (14th), Server Monitoring (10th), IT Infrastructure Monitoring (14th), IT Operations Analytics (4th), AIOps (9th)

Unomaly

Ranking in Cloud Monitoring Software

39th

Average Rating

7.0

Reviews Sentiment

2.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Cloud Monitoring Software category, the mindshare of ScienceLogic is 2.6%, up from 2.0% compared to the previous year. The mindshare of Unomaly is 0.2%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Monitoring Software Mindshare Distribution
Product	Mindshare (%)
ScienceLogic	2.6%
Unomaly	0.2%
Other	97.2%

Cloud Monitoring Software

Featured Reviews

Pallagani Siva Koteswararao

Assistant Consultant at Tata Consultancy

Comprehensive monitoring streamlines operations with room for user support enhancement

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 team. Whenever we encounter difficulties, I raise vendor cases and am eager to deepen my understanding of those cases. Additionally, I want to learn more about ScienceLogic's dashboards, which display crucial metrics about collectors, their health, and devices aligned to them. The dashboard should be more detailed. Regarding improvements to ScienceLogic's technical support, my last company was IBM in India, and I worked on IBM MQ monitoring until my last day. I engaged with the LogicMonitor support team for MQ-level incidents, but these issues remained unresolved even after 10 to 15 days. On my last working day, I assisted with one such vendor case, and I am unsure if that issue was ever resolved. ScienceLogic's technical support should respond more efficiently in terms of time. During my time working on MQ-level cases, including a power pack upgrade that did not fix the issues faced, I provided all necessary steps with the help of the middleware team. However, there were still gaps that needed addressing.

Read full review

reviewer2771775

Consulting Head at a outsourcing company with 5,001-10,000 employees

Has improved error detection significantly but still needs deeper integration with intelligent automation

I have been using Unomaly or LM Envision by LogicMonitor for a year for internal purposes. I personally don't use metrics to evaluate Unomaly's performance as I have a team who handles that aspect. The endgame has moved towards agentic AI. Two years back, it was supposed to be the endgame with ML and prediction anomaly. The world has moved on. Having Unomaly, even the best anomaly doesn't make too much of a difference. The endgame is now about the metrics of autonomy rather than anomaly. What is the degree of autonomy? What is the return on autonomy? Those are the metrics I'm more interested in than just having the anomaly. The world order has shifted, and the KPIs have shifted. They already have Gen AI and agentic AI features, but we haven't used them so far. I will continue to use it in the future for now as it's only been a year. We don't want to change anything internally for now. I would recommend Unomaly to other customers because anybody using observability can and should use Unomaly in the new world. I can't think of any types of companies I would not recommend it to because observability cannot exist without Unomaly nowadays. On a scale of 1 to 10, I rate Unomaly a seven.

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Quotes from Members

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

Pros

"The stability of ScienceLogic is great."

"Customer Service is fantastic."

"The flexibility to support most technologies. The way ScienceLogic gathers data from multiple sources is vital to our customers. As we work with new customers (often with different technology requirements), ScienceLogic is flexible enough to support our clients’ varying network needs."

"I recommend ScienceLogic to other users."

"Power packs."

"Its ITSM and EMS combination is really amazing; there is no need to purchase two products, one for ITSM and a second for EMS/NMS."

"Customer Service: It is top rated. I have never waited on hold for help."

"ScienceLogic is an excellent all around suite of tools."

More ScienceLogic pros

"Unomaly's anomaly detection capabilities contribute to maintaining system reliability; we cannot find all errors humanly, we cannot configure every possible threshold, and in the new world of intelligence and AI, we need to have this intelligent way of finding out the anomalies."

Cons

"Before ScienceLogic, our monitoring was fairly difficult to do. We were kind of limited in our capabilities."

"Usability is important. The interface is nice, but very complex and requires lots of learning involved in managing and navigating the product."

"Integrating observability and APM monitoring into the overall portfolio would be beneficial."

"Reporting needs to be improved. It was sold as a tool we could use for our clients and it was a complete failure."

"Admins do not have direct access to the reporting."

"ScienceLogic could improve the implementation, it could be made easier."

"Simplified Interface - ScienceLogic can be a bit overwhelming when you begin working with it."

"They need a little more self-service."

More ScienceLogic cons

"Having Unomaly, even the best anomaly doesn't make too much of a difference."

Pricing and Cost Advice

"The solution is license-based. It's between $8 and $15, depending on what you need from the product."

"The pricing model for ScienceLogic could improve."

"The license of ScienceLogic is based on how many endpoints are used. The number of monitoring points you want to have."

"My company has an enterprise-level contract with ScienceLogic, so it is available to my organization at a good price."

"I'm not the best person to discuss pricing, but what I do know is that it's a use-and-go structure. You use this much storage and pay this much for it. That's how it is. Every time, we continue to add a large amount of data to the environment."

"Pricing between the two is quiet large therefore you can save some money if you don't require to collect all info on each device."

"Its price could be lower, but for what you pay, you got a lot of value from its features and functionalities. Customers always want a discount or a cheaper solution."

"It comes with the OS built in, so no need to purchase an OS license or DB license."

More ScienceLogic pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Manufacturing Company

10%

Government

Computer Software Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	11
Large Enterprise	24

No data available

Questions from the Community

What do you like most about ScienceLogic?

The tool is quite easy to deploy, and it offers very good support.

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What is your experience regarding pricing and costs for ScienceLogic?

ScienceLogic is not that expensive and is cost-effective overall.

See all answers

What needs improvement with ScienceLogic?

See all answers

What needs improvement with Unomaly?

We do not use its Contextual Insight feature. We haven't explored the LLM side. That part wasn't GA. They've recently launched it. The agentic AI feature has not been tried yet. I would need to che...

See all answers

What is your primary use case for Unomaly?

The primary use cases for Unomaly involve all kinds of things. It's a rate anomaly, error anomaly, it could be anything. Any kind of anomalous pattern can be detected. Unomaly's anomaly detection c...

See all answers

What advice do you have for others considering Unomaly?

See all answers

Comparisons

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Compared 6% of the time

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Compared 6% of the time

WhatsUp Gold vs ScienceLogic

Compared 5% of the time

Nagios XI vs ScienceLogic

Compared 4% of the time

Dynatrace vs ScienceLogic

Compared 4% of the time

More ScienceLogic Competitors

Datadog vs Unomaly

Compared 42% of the time

Opsview vs Unomaly

Compared 37% of the time

Veeam Data Platform vs Unomaly

Compared 22% of the time

More Unomaly Competitors

Product Reports

Buyer's Guide

ScienceLogic

March 2026

Download ScienceLogic product report

Buyer's Guide

Cloud Monitoring Software

March 2026

Download Unomaly product report

Overview

ScienceLogic excels in customizable dashboards, seamless integrations, and real-time data analysis, supporting diverse IT environments with multi-tenant capabilities.

ScienceLogic provides robust infrastructure and network monitoring, catering to cloud, applications, and server environments. It supports hybrid setups, integrating with CMDB and ticketing systems while automating incident management. ScienceLogic's PowerPacks eliminate visibility gaps and its adaptable nature supports modern and legacy systems. Offering agentless monitoring, it ensures efficient operations with scalable infrastructure support and detailed reporting. However, the interface complexity and need for professional support can present usability challenges. Enhancements in reporting, application coverage, API support, and customization are desirable for improved user experience.

What are ScienceLogic's most important features?

Customizable Dashboards: Tailor views for precise monitoring across different environments.
PowerPacks: Extensive device integrations reduce visibility gaps.
Real-time Data Analysis: Enables quick decision-making with up-to-date insights.
Seamless Integration: Compatible with multiple platforms to unify IT systems.
Adaptive Infrastructure: Supports both modern and legacy systems with ease.

What benefits should users look for in reviews?

Operational Efficiency: Automates event management and simplifies monitoring tasks.
Scalable Support: Grows with the organizational needs, accommodating larger infrastructures.
Comprehensive Reports: Provides complete oversight for informed strategic planning.
Enhanced Adaptability: Unifies diverse technological environments efficiently.

ScienceLogic is often implemented across industries requiring detailed attention to infrastructure and network monitoring. It finds utility in managing hybrid environments, integrating seamlessly with essential systems like CMDB and ticketing platforms. Its scalability and adaptability are valued in unifying complex, diverse environments under one monitoring platform.

ScienceLogic

Unomaly was founded in Stockholm, 2012 and creates a solution that helps organisations around the world to better understand their environments through automated analysis of log and software generated data.

By automatically and continously learning the normal behaviour of any IT system through its data, the solution can detect virtually any incident, root cause and manipulation by its anomalous nature.

The team behind Unomaly consists of experienced engineers, designers and business people that all share a deep passion for the future of information technology.

LogicMonitor

Sample Customers

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

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March 2026

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