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Elastic Observability vs Splunk Observability Cloud comparison

 

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:
 

ROI

Sentiment score
6.5
Elastic Observability enhances cost-effectiveness by reducing incidents, automating fixes, and visualizing cloud operations, saving time and resources.
Sentiment score
6.5
Splunk Observability Cloud boosts efficiency, reduces costs, and enhances productivity with centralized tools and improved monitoring capabilities.
Elastic Observability has saved us time as it's much easier to find relevant pieces across the system in one screen compared to our own software, and it has saved resources too since the same resources can use less time.
Technology Consultant at Hybrid software
We have saved considerable amounts of money, reducing our expenditures from around three to four crores to approximately one to one point two crores.
Senior Manager at Agriculture Skill Council of India
We have been able to save a great deal of money, and our profits have increased by twenty percent.
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Senior Manager at Bank of America
 

Customer Service

Sentiment score
7.6
Elastic Observability customers appreciate their helpful support, quick responses, and valuable documentation, despite some challenges in complex issue resolution.
Sentiment score
7.2
Splunk Observability Cloud's customer service is highly rated for its responsiveness, support, and effective issue resolution.
Elastic support really struggles in complex situations to resolve issues.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
Their excellent documentation typically helps me solve any issues I encounter.
Technology Consultant at Hybrid software
On a scale of 1 to 10, the customer service and technical support deserve a 10.
Systems Administrator at a insurance company with 1,001-5,000 employees
They have consistently helped us resolve any issues we've encountered.
Software Engineer at UKG
The customer support system is the foundational pillar of any successful business.
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
 

Scalability Issues

Sentiment score
7.2
Elastic Observability is praised for scalability and ease of deployment, despite potential complexities and internal process limitations.
Sentiment score
6.9
Splunk Observability Cloud is scalable and flexible but can incur high costs; management of custom metrics may be challenging.
I rate the scalability of Elastic Observability as a ten, as we have never seen issues even with a lot of data coming in from more customers, provided we have the appropriate configuration.
Technology Consultant at Hybrid software
Elastic Observability seems to have a good scale-out capability.
Chief Cloud Architect at a tech services company with 11-50 employees
Elastic Observability is easy in deployment in general for small scale, but when you deploy it at a really large scale, the complexity comes with the customizations.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
We've used the solution across more than 250 people, including engineers.
Splunk Observability Expert
As we are a growing company transitioning all our applications to the cloud, and with the increasing number of cloud-native applications, Splunk Observability Cloud will help us achieve digital resiliency and reduce our mean time to resolution.
Application Developer at UMB Financial
We have never seen any kind of downtime or crashes, as it has been absolutely very easy to scale.
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
 

Stability Issues

Sentiment score
8.2
Elastic Observability is stable and reliable, with high user ratings, efficiently handling large data volumes with proper configuration.
Sentiment score
7.7
Splunk Observability Cloud is stable, reliable, and scalable, with minor performance issues and occasional but limited downtime.
There are some bugs that come with each release, but they are keen always to build major versions and minor versions on time, including the CVE vulnerabilities to fix it.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Product Owner at Swisscom
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
Technology Consultant at Hybrid software
When downtime occurs, it raises concerns about how we measure and receive alerts, as everything needs to be in place.
Aws Dev Ops Engineer at a consultancy with 10,001+ employees
Splunk Observability Cloud is very stable.
Software Engineer at Titans Lab
It is highly scalable because it can handle approximately up to one hundred applications at a time without any lapse or lag.
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
 

Room For Improvement

Elastic Observability needs automation, AI, and customization improvements, addressing complex deployment, market presence, metrics, licensing, and usability issues.
Splunk Observability Cloud needs better cost transparency, user interface, third-party integration, and improved setup, onboarding, and AI capabilities.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
Senior Consultant at Skillfield
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
Senior Technical Sales at a tech vendor with 1,001-5,000 employees
Some areas such as AI Ops still require data scientists to understand machine learning and AI, and it doesn't have a quick win with no-brainer use cases.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders.
IT Operations Engineer at ABC Supply Co. Inc.
The next release of Splunk Observability Cloud should include a feature that makes it so that when looking at charts and dashboards, and also looking at one environment regardless of the product feature that you're in, APM, infrastructure, RUM, the environment that is chosen in the first location when you sign into Splunk Observability Cloud needs to stay persistent all the way through.
Systems Monitoring Engineer II at a government with 10,001+ employees
There should be a solution to update OTeL agents from Splunk Observability Cloud itself.
Senior Software Engineer at WorldPay US
 

Setup Cost

Elastic Observability provides competitive pricing, benefiting large enterprises with comprehensive licensing, but may be costly for smaller users.
Enterprise users find Splunk Observability Cloud pricey compared to competitors, but negotiations can reduce costs by 10-15%.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Product Owner at Swisscom
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Chief Cloud Architect at a tech services company with 11-50 employees
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
Senior Consultant at Skillfield
Splunk is a bit expensive since it charges based on the indexing rate of data.
Senior Manager at Bank of America
It is expensive, especially when there are other vendors that offer something similar for much cheaper.
Solutions Architect at Ikusi
I can confidently say our availability improved by forty percent, and downtime was reduced by approximately seventy to eighty percent.
Splunk Engineer at Data Elicit Solutions Pvt. Ltd.
 

Valuable Features

Elastic Observability excels with flexible integration, powerful search, scalability, real-time insights, affordability, and robust support, enhancing efficiency.
Splunk Observability Cloud offers real-time monitoring, AI analytics, and easy integration, enhancing user experience and operational performance.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
Chief Cloud Architect at a tech services company with 11-50 employees
the most valued feature of Elastic is its log analytics capabilities.
Senior Technical Sales at a tech vendor with 1,001-5,000 employees
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
Product Owner at Swisscom
Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.
Senior Manager at Bank of America
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
Splunk Observability Expert
It offers unified visibility for logs, metrics, and traces.
Administrator at a tech vendor with 10,001+ employees
 

Categories and Ranking

Elastic Observability
Ranking in Application Performance Monitoring (APM) and Observability
11th
Ranking in IT Infrastructure Monitoring
15th
Ranking in Cloud Monitoring Software
11th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Log Management (16th), Container Monitoring (6th)
Splunk Observability Cloud
Ranking in Application Performance Monitoring (APM) and Observability
6th
Ranking in IT Infrastructure Monitoring
7th
Ranking in Cloud Monitoring Software
5th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
88
Ranking in other categories
Network Monitoring Software (7th), Container Management (6th), Digital Experience Monitoring (DEM) (3rd)
 

Mindshare comparison

As of June 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 1.8%, down from 5.2% compared to the previous year. The mindshare of Splunk Observability Cloud is 2.3%, up from 1.8% 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 Cloud2.3%
Elastic Observability1.8%
Other95.9%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

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.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
11%
Government
7%
Manufacturing Company
7%
Financial Services Firm
13%
Manufacturing Company
9%
Computer Software Company
8%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise16
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise8
Large Enterprise55
 

Questions from the Community

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.
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

No data available
Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring
 

Overview

 

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara
Find out what your peers are saying about Elastic Observability vs. Splunk Observability Cloud and other solutions. Updated: June 2026.
900,644 professionals have used our research since 2012.