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IBM Turbonomic vs ScienceLogic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 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
7.2
IBM Turbonomic offers quick ROI by reducing hardware costs, optimizing resources, and decreasing operational expenses through automation and efficiency.
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
8.9
IBM Turbonomic's customer service is highly rated for its responsiveness, knowledge, and effectiveness, despite some mixed post-acquisition experiences.
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
6.9
IBM Turbonomic is scalable, seamlessly integrating with various environments while its licensing supports expansion, focusing on additional requirements.
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
7.4
IBM Turbonomic is praised for stability and robust performance, with minor update issues swiftly resolved by support.
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

IBM Turbonomic needs an improved interface, better reporting, clearer documentation, more integrations, and a stable, mobile-compatible platform.
ScienceLogic needs better reporting, user interface, vendor support, simpler integration, improved API, and efficient application monitoring for enterprises.
If the knowledge for implementation could be spread through articles, it would reduce this dependency.
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

IBM Turbonomic offers flexible, competitive pricing models, providing value through resource optimization and reducing hardware expenses effectively.
ScienceLogic offers flexible yet potentially high pricing, starting at $25K, with costs based on device count and features.
It could be cheaper.
ScienceLogic is not that expensive and is cost-effective overall.
 

Valuable Features

IBM Turbonomic enhances efficiency through automation, capacity management, reporting, and planning, optimizing resource allocation and infrastructure decisions.
ScienceLogic provides scalable, customizable monitoring with advanced analytics and integration, enhancing service delivery through intuitive and flexible solutions.
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.
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

IBM Turbonomic
Ranking in IT Operations Analytics
4th
Ranking in AIOps
5th
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
205
Ranking in other categories
Cloud Migration (4th), Cloud Management (4th), Virtualization Management Tools (2nd), IT Financial Management (1st), Cloud Analytics (1st), Cloud Cost Management (1st)
ScienceLogic
Ranking in IT Operations Analytics
7th
Ranking in AIOps
8th
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
45
Ranking in other categories
Event Monitoring (6th), Unified Communications Monitoring (1st), Network Monitoring Software (25th), Server Monitoring (13th), IT Infrastructure Monitoring (21st), Cloud Monitoring Software (16th)
 

Mindshare comparison

As of June 2025, in the IT Operations Analytics category, the mindshare of IBM Turbonomic is 0.4%. The mindshare of ScienceLogic is 4.8%, up from 4.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Operations Analytics
 

Featured Reviews

Dan Ambrose - PeerSpot reviewer
Helps visibility, bridges the data gap, and frees up time
We use IBM Turbonomic in a hybrid cloud environment. Although it supports multi-cloud capabilities, we currently operate in a single-cloud setting. Turbonomic offers visibility into our environment's performance, spanning across applications, underlying infrastructure, and protection resources. The visibility and analytics help to bridge the data gap between disparate IT teams such as applications and infrastructure. This is important for awareness collaboration, cost saving, and helping to design and improve our application. Enhanced visibility and data analytics have contributed to a significant reduction in our mean time to resolve. Tools like Turbonomic provide crucial visualization and insights, empowering us to make data-driven decisions instead of relying on assumptions as we did before. This newfound transparency translates to a massive improvement, going from complete darkness to having a clear 100 percent view of the situation. Although our applications are not optimized for the cloud we have seen some improvement in response time. IBM Turbonomic empowers us to achieve more with fewer people thanks to automation. Previously, customers frequently contacted us requesting resource increases to resolve issues. Now, we have a tool that allows us to objectively assess their needs, leading to a deeper understanding of our applications. This solution also generates significant cost savings in the cloud and optimizes hardware utilization within our data centers. Its AI algorithm intelligently allocates servers on hosts, maximizing efficiency without compromising performance. By fine-tuning resource allocation without causing performance bottlenecks, Turbonomic extends the lifespan of existing hardware, postponing the need for new purchases. This effectively stretches our capital expenditure budget. We started to see the benefits of IBM Turbonomic within the first 60 days. IBM is a fantastic partner. Their tech support has been outstanding, and the product itself is excellent - a very solid offering. By automating resource management with Turbonomic, our engineers are freed up to focus on more strategic initiatives like innovation and ongoing organizational projects. Previously, manually adding resources was a time-consuming process that interrupted workflows. Now, automation handles scaling efficiently, saving us thousands of man-hours and significant costs. It has illuminated the need for SetOps. It has highlighted areas of overspending, and the actions we've taken have demonstrated significant cost savings. IBM Turbonomic has positively impacted our overall application performance. IBM Turbonomic has helped reduce both CAPEX and OPEX. It has also significantly reduced cloud build times.
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
14%
Computer Software Company
13%
Manufacturing Company
9%
Insurance Company
6%
Computer Software Company
12%
Financial Services Firm
12%
Manufacturing Company
9%
Government
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What is your experience regarding pricing and costs for Turbonomic?
It offers different scenarios. It provides more capabilities than many other tools available. Typically, its price is set as a percentage of the consumption of some of our customers' services. The ...
What needs improvement with Turbonomic?
The implementation could be enhanced.
What is your primary use case for Turbonomic?
We use IBM Turbonomic to automate our cloud operations, including monitoring, consolidating dashboards, and reporting. This helps us get a consolidated view of all customer spending into a single d...
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

 

Also Known As

Turbonomic, VMTurbo Operations Manager
No data available
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.
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 IBM Turbonomic vs. ScienceLogic and other solutions. Updated: May 2025.
857,028 professionals have used our research since 2012.