Elastic Observability vs Splunk Observability Cloud comparison

Why PeerSpot?

Elastic and Splunk are both solutions in the Application Performance Monitoring (APM) and Observability category. Elastic is ranked #10 with an average rating of 9.0, while Splunk is ranked #5 with an average rating of 8.2. Elastic holds a 1.6% mindshare in APM, compared to Splunk’s 2.7% mindshare. Additionally, 88% of Elastic users are willing to recommend the solution, compared to 96% of Splunk users who would recommend it.

Elastic Observability

Read 29 Elastic Observability reviews

11,859 Views
7,590 Comparison Views

88% willing to recommend

Splunk Observability Cloud

Read 107 Splunk Observability Cloud reviews

27,380 Views
13,964 Comparison Views

96% willing to recommend

Elastic Observability

Splunk Observability Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 29, 2026

Splunk Observability Cloud and Elastic Observability both compete in the observability market, offering specialized tools for monitoring and analytics. Splunk Observability Cloud appears to have the upper hand due to its robust real-time dashboards and efficient handling of large data volumes, which greatly enhance visibility and performance metrics.

Features: Users of Splunk Observability Cloud value its real-time dashboards, which provide vibrant metrics that enhance workflow visibility, along with its fast alerting system and comprehensive APM monitoring. Elastic Observability is recognized for its powerful log analytics capabilities, its flexibility in integrating seamlessly with other systems, and strong search functionalities that offer valuable insights.

Room for Improvement: Splunk Observability Cloud could benefit from greater pricing transparency and an enhanced log management experience, while users also suggest improving the log search performance and alerting system. Elastic Observability users call for improved APM capabilities, more detailed dashboards, and better machine learning features to enhance scalability and ease of use.

Ease of Deployment and Customer Service: Splunk Observability Cloud provides versatile deployment options, supporting both on-premises and cloud environments, with efficient customer support, though technical support could improve in speed and depth. Elastic Observability favors hybrid and on-premises deployments and gains positive feedback for customer support response times but could enhance consistency and support expertise.

Pricing and ROI: Splunk Observability Cloud is perceived as expensive, with users suggesting a need for pricing transparency, but it still delivers a strong return on investment through efficiency gains. Elastic Observability offers more predictable and affordable pricing, appealing to larger organizations, although smaller users may find it costly. Despite pricing differences, both solutions highlight operational impact through their ROI, with Elastic's pricing benefitting budget-conscious users more.

To learn more, read our detailed Elastic Observability vs. Splunk Observability Cloud Report (Updated: September 2026).

Buyer's Guide

Elastic Observability vs. Splunk Observability Cloud

September 2026

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Helped 913,683 peers since 2012

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

5.9

Teams using Splunk report increased efficiency, reduced downtime, cost savings, enhanced multitasking, and improved operational performance through seamless integration.

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.

Stefan Decuypere

Technology Consultant at Hybrid software

For more quotes and insights, download the Elastic Observability report

We have saved considerable amounts of money, reducing our expenditures from around three to four crores to approximately one to one point two crores.

Shrinkhala Singh

Deputy General 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.

Purnambica Kolavennu

Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)

We've been able to lower our mean time to resolution and make sure that we are resilient and quickly recover from disasters.

reviewer2899026

Enterprise Account Engineer at a tech vendor with 10,001+ employees

For more quotes and insights, download the Splunk Observability Cloud report

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 support is praised for promptness and availability, with generally high satisfaction despite occasional regional delays.

Elastic support really struggles in complex situations to resolve issues.

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

Their excellent documentation typically helps me solve any issues I encounter.

Stefan Decuypere

Technology Consultant at Hybrid software

For more quotes and insights, download the Elastic Observability report

On a scale of 1 to 10, the customer service and technical support deserve a 10.

reviewer2755917

Systems Administrator at a insurance company with 1,001-5,000 employees

They have consistently helped us resolve any issues we've encountered.

Juan Baez

Software Engineer at UKG

The customer support system is the foundational pillar of any successful business.

Purnambica Kolavennu

Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)

For more quotes and insights, download the Splunk Observability Cloud report

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

7.0

Splunk Observability Cloud is highly scalable and flexible, adapting seamlessly to growing infrastructures despite occasional cost concerns.

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.

Stefan Decuypere

Technology Consultant at Hybrid software

Elastic Observability seems to have a good scale-out capability.

Syed Waqar Uddin

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.

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

For more quotes and insights, download the Elastic Observability report

We've used the solution across more than 250 people, including engineers.

Abdelmonam LABBOUZ

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.

Lalatendu Swain

Application Developer at UMB Financial

We have never seen any kind of downtime or crashes, as it has been absolutely very easy to scale.

Purnambica Kolavennu

Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)

For more quotes and insights, download the Splunk Observability Cloud report

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

7.9

Splunk Observability Cloud is stable and reliable, with minor performance issues affecting some users during specific events.

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.

Mohammed-Abdelalim

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.

Adelina Craciun

Product Owner at Swisscom

I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.

Stefan Decuypere

Technology Consultant at Hybrid software

For more quotes and insights, download the Elastic Observability report

When downtime occurs, it raises concerns about how we measure and receive alerts, as everything needs to be in place.

reviewer2800332

Aws Dev Ops Engineer at a consultancy with 10,001+ employees

Splunk Observability Cloud is very stable.

AmanThakkar

Software Engineer at Titanslab Inc.

It is highly scalable because it can handle approximately up to one hundred applications at a time without any lapse or lag.

Purnambica Kolavennu

Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)

For more quotes and insights, download the Splunk Observability Cloud report

Room For Improvement

Elastic Observability needs automation, AI, and customization improvements, addressing complex deployment, market presence, metrics, licensing, and usability issues.

Splunk Observability Cloud users face setup complexities, pricing concerns, and seek enhanced GUI, integration, and improved AI functionalities.

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.

Lakshmi Bodepu

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.

reviewer708360

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.

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

For more quotes and insights, download the Elastic Observability report

The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders.

Taiwo Ige

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.

Sarah Van Zee

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.

HrishikeshNavkar

Senior Software Engineer at WorldPay US

For more quotes and insights, download the Splunk Observability Cloud report

Setup Cost

Elastic Observability provides competitive pricing, benefiting large enterprises with comprehensive licensing, but may be costly for smaller users.

Splunk Observability Cloud offers robust features, though opinions vary on its pricing, particularly for large-scale deployments.

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.

Adelina Craciun

Product Owner at Swisscom

Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.

Syed Waqar Uddin

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.

Lakshmi Bodepu

Senior Consultant at Skillfield

For more quotes and insights, download the Elastic Observability report

Splunk is a bit expensive since it charges based on the indexing rate of data.

Sathis-Kumar

Senior Manager at Bank of America

It is expensive, especially when there are other vendors that offer something similar for much cheaper.

Ernesto Gutierrez

Solutions Architect at Ikusi

I can confidently say our availability improved by forty percent, and downtime was reduced by approximately seventy to eighty percent.

JigarHirani

Splunk Engineer at a recruiting/HR firm with 11-50 employees

For more quotes and insights, download the Splunk Observability Cloud report

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 insights, and integrations, enhancing performance tracking, efficiency, and incident resolution.

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.

Syed Waqar Uddin

Chief Cloud Architect at a tech services company with 11-50 employees

the most valued feature of Elastic is its log analytics capabilities.

reviewer708360

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.

Adelina Craciun

Product Owner at Swisscom

For more quotes and insights, download the Elastic Observability report

Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.

Sathis-Kumar

Senior Manager at Bank of America

For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.

Abdelmonam LABBOUZ

Splunk Observability Expert

It offers unified visibility for logs, metrics, and traces.

Mary Vasantha Golleru

Administrator at a tech vendor with 10,001+ employees

For more quotes and insights, download the Splunk Observability Cloud report

Categories and Ranking

Elastic Observability

Ranking in Application Performance Monitoring (APM) and Observability

10th

Ranking in IT Infrastructure Monitoring

13th

Ranking in Cloud Monitoring Software

11th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Log Management (14th), Container Monitoring (6th)

Splunk Observability Cloud

Ranking in Application Performance Monitoring (APM) and Observability

5th

Ranking in IT Infrastructure Monitoring

3rd

Ranking in Cloud Monitoring Software

4th

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

107

Ranking in other categories

Network Monitoring Software (6th), 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 Elastic Observability is 1.6%, down from 4.1% 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
Product	Mindshare (%)
Splunk Observability Cloud	2.7%
Elastic Observability	1.6%
Other	95.7%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Stefan Decuypere

Technology Consultant at Hybrid software

Real-time dashboards and visual insights have streamlined issue analysis and monitoring

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, I know what it costs but am not directly involved in cost-benefit evaluations or maintenance, which is handled by another team. I develop the visual representation of the data and frankly, I don't see major gaps in my application or anything I would really miss; I appreciate the fast pace of the developments that have occurred in the last couple of years. Regarding room for improvement in Elastic Observability, 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.

Read full review

Purnambica Kolavennu

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.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

Comms Service Provider

Manufacturing Company

Financial Services Firm

12%

Manufacturing Company

Outsourcing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	16

By reviewers
Company Size	Count
Small Business	37
Midsize Enterprise	9
Large Enterprise	72

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 ...

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What needs improvement with Elastic Observability?

See all answers

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.

See all answers

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...

See all answers

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 ...

See all answers

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 ...

See all answers

Comparisons

Splunk AppDynamics vs Elastic Observability

Compared 4% of the time

Dynatrace vs Elastic Observability

Compared 4% of the time

Grafana vs Elastic Observability

Compared 4% of the time

New Relic vs Elastic Observability

Compared 3% of the time

Hardware Sentry vs Elastic Observability

Compared 1% of the time

More Elastic Observability Competitors

Datadog vs Splunk Observability Cloud

Compared 3% of the time

Grafana vs Splunk Observability Cloud

Compared 3% of the time

PRTG Network Monitor vs Splunk Observability Cloud

Compared 2% of the time

Dynatrace vs Splunk Observability Cloud

Compared 2% of the time

Splunk AppDynamics vs Splunk Observability Cloud

Compared 2% of the time

More Splunk Observability Cloud Competitors

Product Reports

Buyer's Guide

Elastic Observability

September 2026

Download Elastic Observability product report

Buyer's Guide

Splunk Observability Cloud

August 2026

Download Splunk Observability Cloud product report

Also Known As

No data available

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

Overview

Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.

Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.

What are the most important features of Elastic Observability?

Centralized Logging: Streamlines the collection, analysis, and storage of log data.
Powerful Search: Provides robust search capabilities for quick access to relevant information.
Scalability: Supports growing data needs across diverse environments.
Real-time Telemetry: Ensures up-to-date insights and monitoring.
Platform Integration: Seamlessly connects with services like Teams and Slack.
Data Visualization: Enhances visibility with Elastic APM and Kibana.

What benefits and ROI should users explore in reviews?

Cost-effectiveness: Offers significant savings through efficient data management.
Rapid Incident Response: Minimizes downtime with quick troubleshooting tools.
Comprehensive Insights: Supports better business decisions with detailed data analysis.
Performance Tracking: Enables assessment of system effectiveness and improvements.

Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.

Elastic

Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.

Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.

What are the key features?

Log Searching: Efficiently search and analyze logs from various sources.
Data Integration: Seamlessly integrate with multiple environments.
Dashboard Customization: Tailor dashboards to specific monitoring needs.
Monitoring Capabilities: Provides comprehensive insights into application performance.
Security Features: Analyze and address security threats across systems.
Visualization Tools: Enhance data analysis and system performance optimization.

Why consider this for ROI?

Comprehensive Visibility: Gain complete insights into IT infrastructure.
Performance Optimization: Improve overall system performance and efficiency.
Rapid Deployment: Quick setup to meet organization demands swiftly.
Enhanced Security: Strengthen security measures through detailed analytics.

In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.

Splunk

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara

Buyer's Guide

Elastic Observability vs. Splunk Observability Cloud

September 2026

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