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Akamai mPulse vs Elastic 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
57th
Average Rating
6.6
Reviews Sentiment
5.5
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Elastic Observability
Ranking in Application Performance Monitoring (APM) and Observability
11th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
IT Infrastructure Monitoring (15th), Log Management (16th), Container Monitoring (5th), Cloud Monitoring Software (11th)
 

Mindshare comparison

As of July 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Akamai mPulse is 0.6%, up from 0.5% compared to the previous year. The mindshare of Elastic Observability is 1.7%, down from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Elastic Observability1.7%
Akamai mPulse0.6%
Other97.7%
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.
Mohammed-Abdelalim - PeerSpot reviewer
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities
In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.

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."
"It provides real-time monitoring for performance and availability of specific portions of the website without a significant data overhead."
"It’s a very good product for performance tracking, I haven’t used many others, so I can’t comment on a competitive level."
"Enables dynamic injections from within the product which is great."
"It provides a great overview for management regarding user experience."
"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 most valuable feature is the solutions overall performance. It is very efficient and accurate for our usage."
"There's a good relationship between the price and the licences."
"It has always been a stable solution."
"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"In addition to the fact that we are more proactive in the detection of incident before they occur, we can on one click see the request path from the customer to the backend."
"Machine learning is the most valuable feature of this solution."
"I have built a mini business intelligence system based on Elastic Observability."
 

Cons

"Scalability to larger volume of data seems to be hit or miss."
"It needs a more intuitive GUI and more customization options."
"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."
"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 end-to-end distributor tracing connectivity isn't there."
"I would have preferred built-in tools to manage the indexes on deployment for better visual representation, as the initial feedback regarding system performance and data storage was fairly primitive and lacking."
"The price is the only issue in the solution. It can be made better and cheaper."
"I am familiar with Azure Monitor, which I find more user-friendly compared to Elastic, which is a very technical tool."
"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
"When opening tickets, we cannot use our team mailbox."
"There's a steep learning curve if you've never used this solution before."
"It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side."
"The only challenging aspect for new users is often writing the query language."
 

Pricing and Cost Advice

Information not available
"We will buy a premium license after POC."
"We have been using the open-source version."
"The product is not that cheap."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
"There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."
"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
10%
Construction Company
8%
Retailer
6%
Financial Services Firm
15%
Computer Software Company
11%
Government
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Large Enterprise6
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise16
 

Questions from the Community

Ask a question
Earn 20 points
What is your experience regarding pricing and costs for Elastic Observability?
The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...
What needs improvement with Elastic Observability?
After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...
What is your primary use case for Elastic Observability?
My use case for Elastic Observability is observability, as we upload our customers' data, including logs, and when there is an issue, we can analyze what went wrong.
 

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
PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Find out what your peers are saying about Akamai mPulse vs. Elastic Observability and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.