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Akamai mPulse vs Sumo Logic Observability comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 2024

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

Akamai mPulse
Ranking in Application Performance Monitoring (APM) and Observability
58th
Average Rating
6.6
Reviews Sentiment
5.5
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Sumo Logic Observability
Ranking in Application Performance Monitoring (APM) and Observability
20th
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
6
Ranking in other categories
Cloud Monitoring Software (21st), AIOps (10th)
 

Mindshare comparison

As of April 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Akamai mPulse is 0.4%, up from 0.4% compared to the previous year. The mindshare of Sumo Logic Observability is 0.2%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Arivu Arumugam - PeerSpot reviewer
Lacking in regard to observation of the entire platform but does dynamic injections from within
There is little that's unique about mPulse but since the solution is part of Akamai, you can do dynamic injections from within the product which is a great feature. the UI is quite good. It offers a basic set of features but nothing unique other than that as part of Akamai, you can do dynamic injections.
Shamshir Nangla - PeerSpot reviewer
Getting up and running is easy, even for a newbie but management of searches definitely needs improvement
Operational effectiveness with regards to when there's an issue, when there's a reactive issue, people are able to, or as well as proactively, actually, because we use their PagerDuty integrations. We use queries in Sumo Logic to trigger alerts based on logging. That allows us to proactively identify issues as they're happening. With those same alerts, obviously, with that platform, you can use it to reactively start looking at troubleshooting issues as they're happening right then and there or incidents. So it's been very, very good for alerting and for troubleshooting issues. For predicting issues before they happen, it is not very good. They have a feature called anomaly detection, but I think it's quite premature compared to other stuff out there. So it's good for alerts and for troubleshooting operational effectiveness. When your operations are down or segregated, it's perfect because it will help you diagnose the issues.

Quotes from Members

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

Pros

"Enables dynamic injections from within the product which is great."
"The most valuable feature is the solutions overall performance. It is very efficient and accurate for our usage."
"Sumo Logic Observability presents a range of valuable features, including well-crafted dashboards and a diverse selection of helpful apps. However, personally, I don't hold a favorable opinion of the solution. While I don't struggle with writing queries, my main difficulty lies in recruiting competent individuals and ensuring their proficiency in utilizing the solution. This often leads to additional challenges and complexities. From my perspective, when compared to Microsoft Sentinel or even Splunk, Sumo Logic Observability has a steeper learning curve. One contributing factor to this disparity is the solution's long existence in the market compared to Synlogic. Nevertheless, I acknowledge that there are capable and knowledgeable professionals employed at Sumo Logic Observability. The effectiveness of the solution largely depends on how it is integrated into your internal operations and environment. Its utility and benefits can vary significantly. It is worth noting that organizations like the NSA and, I believe, the CIA used it in the past, primarily for rapidly searching and analyzing large volumes of data. To leverage its capabilities effectively, you must determine how to tailor it to your specific needs."
"The solution allows multiple groups to converge on a unified platform, allowing for different utilization by various teams."
"I have not seen any stability issues in the product."
"Alerting and consistency are key. We have different tiers with log collectors, and continuous querying provides near-real-time updates. It's almost like instantly when something happens, like pending transactions or error fees. This helps reduce incident resolution time compared to waiting for thresholds on other platforms. We can continue logging in with them seamlessly and quickly get into action."
"We use queries in Sumo Logic to trigger alerts based on logging. That allows us to proactively identify issues as they're happening."
"The product is easy to learn."
 

Cons

"The end-to-end distributor tracing connectivity isn't there."
"In the next release, I would like to see the possibility of sharing the metric from this solution with other solutions."
"The speed of queries could be improved. When using more advanced functions, especially with large datasets like the 90-day log retention we had, queries could be slow, sometimes taking up to five minutes."
"SearchUI.exe is a bit clunky in the product, making it an area where the product needs improvements."
"Documentation could be better. While it's generally good, sometimes finding what you need requires extensive searching. It's not always clear where to look for specific things."
"Fine-grained data can be quite frustrating to work with and should be made easier."
"Implementing a more streamlined enrichment process, and conceptualizing the observability data collection as an ETL pipeline would be helpful."
 

Pricing and Cost Advice

Information not available
"Now, they’re not charging by ingests anymore. You should expect the price to be a bit of an unknown and to basically increase as the business increases."
"I started on the free tier to try it out, but because of our usage, we're now paying for it."
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Computer Software Company
16%
Manufacturing Company
9%
Retailer
8%
Financial Services Firm
16%
Computer Software Company
14%
Manufacturing Company
10%
Transportation Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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What needs improvement with Sumo Logic Observability?
The speed of queries could be improved. When using more advanced functions, especially with large datasets like the 90-day log retention we had, queries could be slow, sometimes taking up to five m...
What is your primary use case for Sumo Logic Observability?
We used it for log observability – log aggregation specifically.
 

Also Known As

SOASTA mPulse
No data available
 

Overview

 

Sample Customers

Nordstrom, Gatwick, DirecTV, MSN, SquareSpace, SAP, Lenovo, Hallmark, myspace, Intuit, Kentucky Derby, Toys "R" Us, Netflix, Newsweek, The Washington Post, Lowe's, Nike, REI, Apple, Sears, Verizon, Wendy's, Huawei
Information Not Available
Find out what your peers are saying about Akamai mPulse vs. Sumo Logic Observability and other solutions. Updated: April 2025.
847,862 professionals have used our research since 2012.