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Akamai mPulse 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

Akamai mPulse
Ranking in Application Performance Monitoring (APM) and Observability
62nd
Average Rating
6.6
Reviews Sentiment
5.5
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Splunk Observability Cloud
Ranking in Application Performance Monitoring (APM) and Observability
5th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
107
Ranking in other categories
Network Monitoring Software (6th), IT Infrastructure Monitoring (3rd), Cloud Monitoring Software (4th), Container Management (5th), Digital Experience Monitoring (DEM) (2nd)
 

Mindshare comparison

As of September 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Akamai mPulse is 0.6%, up from 0.6% compared to the previous year. The mindshare of Splunk Observability Cloud is 2.7%, up from 1.9% 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 Cloud2.7%
Akamai mPulse0.6%
Other96.7%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Arivu Arumugam - PeerSpot reviewer
Staff Engineer at a financial services firm with 10,001+ employees
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.
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

"We are a worldwide company and we need to have a solution with good performance which the solution is providing us with; it has helped our company."
"Enables dynamic injections from within the product which is great."
"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."
"It’s a very good product for performance tracking, I haven’t used many others, so I can’t comment on a competitive level."
"It provides a great overview for management regarding user experience."
"It provides real-time monitoring for performance and availability of specific portions of the website without a significant data overhead."
"There's a good relationship between the price and the licences."
"The most valuable feature is the solutions overall performance. It is very efficient and accurate for our usage."
"I recommend Splunk Observability Cloud to other organizations because we are currently saving our engineers time by 20 to 30 percent, and for infrastructure alerting, we can use it to ensure that servers will not go down."
"The product's deployment phase is good and very easy because it is done with OpenTelemetry for most of the parts."
"It's beneficial for monitoring performance and infrastructure, especially when deploying applications with multiple versions with Git."
"Splunk APM has helped us to standardize logging and monitoring procedures."
"Splunk Observability Cloud is highly effective in improving digital resilience, as real-time visibility, proactive alerting, fast root cause analysis, distributed tracing, and AI-driven insights enable anomaly detection, which allows us to quickly understand failures, recover faster, maintain system availability, and handle failures in complex distributed environments by seeing how services interact and where breakdowns occur."
"Customer service and technical support respond very quickly."
"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."
"The initial setup was straightforward. We didn't find it to be too complex."
 

Cons

"In the next release, I would like to see the possibility of sharing the metric from this solution with other solutions."
"They work very well, only thing is they need more time to improve and fix all the issues."
"The solution didn't help us much and that's the reason we never used mPulse on a full scale and why we chose to go with Dynatrace."
"The end-to-end distributor tracing connectivity isn't there."
"Scalability to larger volume of data seems to be hit or miss."
"It needs a more intuitive GUI and more customization options."
"Technical support is good but could be improved, particularly concerning the time taken for ticket resolution."
"The only strain point we've encountered with Splunk Observability Cloud is that the search times can be lengthy for some things. We have a large environment, so that's expected."
"We have both on-prem and cloud, and the challenge is getting all our log data aggregated or streams aggregated so that it is real-time. We do a pretty good job of that, but our organization is not using it as a security platform when it can do a great job of that."
"Support from Splunk is not very helpful because Splunk doesn't have a dedicated APM; they only have one APM engineer in Korea."
"I would like to see a very detailed tutorial about it and how any newcomer can be able to use it."
"Splunk could be better integrated with configuration manager solutions so we can automatically resolve issues without human interference."
"Once you see the issues related to the scalability part, you need to understand that it is a warning triangle. After seeing the warning triangle, you need to realize that you cannot trust any of the numbers you see in the chart because it is not a complete, full data set."
"There is a pretty steep learning curve with Splunk Observability Cloud."
 

Pricing and Cost Advice

Information not available
"Splunk Infrastructure Monitoring is an expensive solution."
"I am not in that circle, but we are currently licensing based on our queries. That is working out for us. Previously, it was by volume of data, and now, we can store as much data as we want."
"Splunk APM is expensive."
"This is an expensive solution."
"The pricing is reasonable."
"It is expensive."
"The pricing is based on several factors, including the scale of deployment."
"Splunk APM is a very cost-efficient solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Construction Company
11%
Manufacturing Company
9%
Outsourcing Company
6%
Financial Services Firm
12%
Manufacturing Company
8%
Outsourcing Company
8%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Large Enterprise6
By reviewers
Company SizeCount
Small Business37
Midsize Enterprise9
Large Enterprise72
 

Questions from the Community

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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

SOASTA mPulse
Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring
 

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
Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara
Find out what your peers are saying about Akamai mPulse vs. Splunk Observability Cloud and other solutions. Updated: September 2026.
913,924 professionals have used our research since 2012.