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Mezmo vs Splunk Observability Cloud comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 2026

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

Mezmo
Ranking in Application Performance Monitoring (APM) and Observability
78th
Average Rating
9.0
Number of Reviews
2
Ranking in other categories
Log Management (54th), Observability Pipeline Software (8th)
Splunk Observability Cloud
Ranking in Application Performance Monitoring (APM) and Observability
5th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
106
Ranking in other categories
Network Monitoring Software (5th), IT Infrastructure Monitoring (2nd), Cloud Monitoring Software (2nd), Container Management (10th), Digital Experience Monitoring (DEM) (3rd)
 

Mindshare comparison

As of November 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Mezmo is 0.5%, up from 0.4% compared to the previous year. The mindshare of Splunk Observability Cloud is 2.6%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Splunk Observability Cloud2.6%
Mezmo0.5%
Other96.9%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

TO
President and Founder at STILLWATER SUPERCOMPUTING INC
It consolidates all logs into one place and provides required features and functionalities
Every once in a while, our IBM cloud operational implementation gets behind. Sometimes, when we have a customer event, we do not get access to the latest logs for about 30 minutes, particularly for the sites that are heavily utilized. This is clearly not good. It is impossible to do RCA when you can't look at the logs that pertain to the time period in which the event occurred. It could be more of an operational problem than a feature problem. I don't have visibility about whether it is a LogDNA issue or just an operational issue.
PK
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
Unified observability has improved real-time governance and now drives data-led decisions
Log Observer Connect is embedded here, but we are facing some delays in centralized log collection and analysis, which can be further fastened. We are collecting all the data metrics and decision-making insights, but all these data-driven decisions coming from different applications are not connected somewhere. A consolidated form or correlation of these insights is not happening between each other due to which we feel we are missing something significant. Some generalized feedback includes that predictive alerts or alarms which can be integrated with AI-driven alarms and alerting features should be established so that there is AI-driven intelligence and anomaly detection happening with a complete systematic process in service delivery. Application dependencies are huge, and business and operational dashboards should be improved. Right now there are very interactive custom dashboards, and every now and then, the personalization of enhancements keeps happening. KPI monitoring, executive reporting, and analytics have definitely been introduced to a great extent. There are few things in cloud-native monitoring, such as integration with AWS and Azure, where we sometimes do face lags. Those things can definitely be improved upon. I have used Datadog and Dynatrace before using Splunk Observability Cloud. Datadog was definitely recommended by most of our peers because of its very strong comprehensive observability and very strong and unique dashboard systems. Dynatrace was also very good because they have offered a lot of AI-driven analysis methods and processes, which was helping our organization a lot. Since our organization has a very strong IT ecosystem for agriculture, very different kinds of customized things are required.

Quotes from Members

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

Pros

"With LogDNA, which brings all the logs together in an interleaved stream, it allows us to take a transaction and relate it to other contextual events making the gathering of evidence for auditors and our internal RCA much more productive."
"We haven't had anything yet that we couldn't do through LogDNA."
"The solution aggregates all event streams, so that if there are any issues, it's all in the same interface."
"LogDNA consolidates all logs into one place, which is super valuable."
"The solution's basic visibility is one of its most valuable features. So, it is a solution that is easy to use...The solution's initial setup process was straightforward."
"We are happy with what we have, how it is deployed and how it serves the need we have deployed it to fill."
"Splunk's GUI and dashboard capacity are the most valuable features of Splunk Infrastructure Monitoring."
"Splunk Observability Cloud positively impacts our organization by enabling us to build dashboards around customer experiences and API backend layers, and now, with metrics and traces consolidated, we gain a single view for correlation, significantly reducing MTTD and enabling detection of issues in under five minutes."
"Previously, we faced a systematic performance lag of around twenty to thirty percent, which has now reduced to just two to five percent—an improvement we can credibly showcase to our clientele."
"After moving to Splunk Observability Cloud, it is almost zero downtime."
"The out-of-the-box customizable dashboards provided by Splunk Observability Cloud are effective in showcasing IT performance to business leaders."
"A problem that previously took four to five hours is now completed automatically through Splunk Observability Cloud and DevOps SRE agent integration in just a couple of minutes."
 

Cons

"No ability to encapsulate a query or a filter, and communicate or share that among the team."
"Scalability could be improved; we are using it through the IBM cloud deployment and on some of the data centers that are very heavily used, there is a significant lag in the event stream, sometimes 10, 15 minutes behind, which makes the RCA impossible."
"Every once in a while, our IBM cloud operational implementation gets behind. Sometimes, when we have a customer event, we do not get access to the latest logs for about 30 minutes, particularly for the sites that are heavily utilized. This is clearly not good. It is impossible to RCA when you can't look at the logs that pertain to the time period in which the event occurred. It could be more of an operational problem than a feature problem. I don't have visibility about whether it is a LogDNA issue or just an operational issue."
"The implementation can be more user-friendly."
"The dashboards are used mainly to visualize information about the infrastructure, but it isn't easy to construct or use the dashboards. While we tried to resolve the issue by calling support, it would be easier if they had an AI co-pilot to identify the problem and help you solve it."
"There are several performance enhancement areas for Splunk Observability Cloud. For instance, Splunk Observability Cloud's IT service intelligence core part needs improvements as clients request more IT services performance matrices than the current system supports."
"The RUM part of Splunk Observability Cloud can be improved significantly."
"At this moment, Splunk Observability Cloud has not helped improve my operational performance or my company's resilience. I have not yet seen a return on investment from Splunk Observability Cloud."
"Splunk Observability Cloud could be improved by having more integration with Splunk Cloud because at the moment they're two separate products. They're making great moves on what they call unified access; tighter integration is always a good thing."
"Integrating some third-party add-ons can be challenging, involving many implementation and configuration steps."
"The end-to-end visibility is lacking because Splunk cannot directly monitor network devices."
 

Pricing and Cost Advice

Information not available
"The pricing is reasonable."
"The solution's pricing is costly."
"Splunk's infrastructure monitoring costs can be high because our billing is based on data volume measured in terabytes, rather than the number of devices being monitored."
"This is an expensive solution."
"It is expensive."
"I would rate the price of Splunk Infrastructure Monitoring as an eight out of ten, with ten being the most expensive."
"Splunk Observability Cloud is expensive."
"The solution's pricing is competitive. I rate the solution's pricing a seven out of ten. The price of the solution could be cheaper."
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Top Industries

By visitors reading reviews
Comms Service Provider
18%
Transportation Company
14%
Construction Company
14%
Financial Services Firm
8%
Financial Services Firm
11%
Manufacturing Company
9%
Outsourcing Company
8%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business38
Midsize Enterprise9
Large Enterprise70
 

Questions from the Community

Ask a question
Earn 20 points
What needs improvement with SignalFx?
Regarding dashboard customization, while Splunk has many dashboard building options, customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and pr...
What is your primary use case for SignalFx?
The solution involves observability in general, such as Application Performance Monitoring, and generally addresses digital applications, web applications, sites, and mobile applications. I worked ...
What advice do you have for others considering SignalFx?
We're a customer and end-user. Currently, in France, we cannot use the artificial intelligence option. While this option is enabled for the United States and many countries, it's not yet available ...
 

Also Known As

LogDNA
Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring
 

Overview

 

Sample Customers

Instacart, Asics, Lime, Salesforce
Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara
Find out what your peers are saying about Mezmo vs. Splunk Observability Cloud and other solutions. Updated: November 2026.
920,769 professionals have used our research since 2012.