ExtraHop Reveal(x) for IT Operations vs Splunk Observability Cloud comparison

Why PeerSpot?

ExtraHop Networks and Splunk are both solutions in the Network Monitoring Software category. ExtraHop Networks is ranked #72, while Splunk is ranked #5 with an average rating of 8.2. ExtraHop Networks holds a 0.6% mindshare in NMS, compared to Splunk’s 1.6% mindshare. Additionally, 100% of ExtraHop Networks users are willing to recommend the solution, compared to 96% of Splunk users who would recommend it.

ExtraHop Reveal(x) for IT O...

Read 8 ExtraHop Reveal(x) for IT Operations reviews

4,744 Views
3,178 Comparison Views

100% willing to recommend

Splunk Observability Cloud

Read 106 Splunk Observability Cloud reviews

32,936 Views
12,186 Comparison Views

96% willing to recommend

ExtraHop Reveal(x) for IT O...

Splunk Observability Cloud

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Executive SummaryUpdated on Mar 29, 2026

ExtraHop Reveal(x) for IT Operations and Splunk Observability Cloud are competing products in the network performance and observability sectors. While ExtraHop excels in pricing and customer support, Splunk Observability Cloud has superior features that justify its cost.

Features: ExtraHop Reveal(x) offers robust real-time analytics, comprehensive threat detection, and machine learning capabilities for enhanced network visibility. It also provides several valuable use cases for security, clinical, and business analytics. Splunk Observability Cloud integrates tracing, metrics, and logs seamlessly, offering an end-to-end visibility that aids deeper insights into performance issues. Its APM monitoring, customizable dashboards, and ability to create detailed reports make it a powerful tool for infrastructure monitoring and application performance.

Room for Improvement: ExtraHop can enhance its integration capabilities with various third-party tools to expand its usability. More features for complex troubleshooting and advanced analytics could position it better against competitors. Simpler customization options may improve user experience. Splunk Observability Cloud can benefit from reducing the complexity in its extensive feature deployment. Enhancing the intuitiveness of its initial setup processes and providing more streamlined support documentation can improve user engagement. Expanding its cost structures to accommodate smaller enterprises could increase its market reach.

Ease of Deployment and Customer Service: ExtraHop Reveal(x) provides an intuitive and straightforward deployment process with thorough support documentation, ensuring rapid implementation and minimizing downtime. Its customer service is highly rated. Splunk Observability Cloud, due to its extensive feature set, requires a more involved deployment process and demands more technical input. However, support is available to aid in the comprehensive setup.

Pricing and ROI: ExtraHop offers a more cost-effective setup, with a positive return on investment for clients needing strong network monitoring capabilities without extensive overhead. Splunk Observability Cloud, while having higher initial costs, offers advanced features that can lead to significant long-term gains in performance management, although it may result in a slower initial ROI.

To learn more, read our detailed ExtraHop Reveal(x) for IT Operations vs. Splunk Observability Cloud Report (Updated: November 2026).

Buyer's Guide

ExtraHop Reveal(x) for IT Operations vs. Splunk Observability Cloud

November 2026

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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

ExtraHop Reveal(x) for IT O...

Ranking in Network Monitoring Software

72nd

Average Rating

8.6

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Network Diagnostics (11th), IT Operations Analytics (13th), Network Packet Capture (6th)

Splunk Observability Cloud

Ranking in Network Monitoring Software

5th

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

106

Ranking in other categories

Application Performance Monitoring (APM) and Observability (5th), IT Infrastructure Monitoring (2nd), Cloud Monitoring Software (2nd), Container Management (10th), Digital Experience Monitoring (DEM) (3rd)

Mindshare comparison

As of November 2026, in the Network Monitoring Software category, the mindshare of ExtraHop Reveal(x) for IT Operations is 0.6%, up from 0.6% compared to the previous year. The mindshare of Splunk Observability Cloud is 1.6%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Network Monitoring Software Mindshare Distribution
Product	Mindshare (%)
Splunk Observability Cloud	1.6%
ExtraHop Reveal(x) for IT Operations	0.6%
Other	97.8%

Network Monitoring Software

Featured Reviews

Out West

Project Manager and IT Management Consultant at a integrator with 1,001-5,000 employees

Great for identifying application interdependencies with helpful support but needs better visualizations

We're just trying to identify the application interdependencies, which normally reside on different servers, including web servers, database servers, enterprise service bus, et cetera, up to your presentation layer before we start moving stuff around. Normally, the reason why we use these tools is to understand what assets we have, where they're deployed, and how they enter and operate before we decide to go move something from point A to point B. The solution is going to allow me to establish a wave or migration plan where you have different waves of migration and then you actually have move groups to try and get your application moved from A to B seamlessly. A to B could be on-premise to on-premise. It could be on-premise to cloud. Et cetera. The solution can tell me what components can I deploy, for example, into a cloud space, without having to refactor my applications since that can be quite time-consuming and costly.

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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.

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Quotes from Members

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

Pros

"ExtraHop is far ahead of anything comparable in the industry."

"It gives you full 360-degree visibility into your entire infrastructure."

"This is a must-try product."

"The most valuable feature is the way it handles data, from Layer 2 up to Layer 7. We can see everything that happens in the network."

"Not only can you look at the protocol import level. It also has a live PCAP analysis."

"Wire data analytics."

"There are many valuable features in this product, but probably the biggest is the customization capability it has."

"We have been able to improve the mean time to resolution by several hours in some cases."

More ExtraHop Reveal(x) for IT Operations pros

"Previously with other applications, analyzing and controlling our API latency required almost five to six hours a day of resources, but with Splunk Observability Cloud, I only need to allocate one to two hours maximum per day to accomplish the same tasks."

"What I appreciate most about Splunk Observability Cloud is the correlation feature, specifically the ease of correlating logs and issues to those traces to see where within the path of the business function is failing."

"This product is very stable."

"It is a great resource for us because we have so many different data sources and to be able to aggregate that and put it through a concise dashboard or an alert really helps."

"Initially, before Splunk, we had a long time to resolve issues. Now, with Splunk Observability Cloud, we will be able to solve them quickly and know exactly where the issue is."

"The integration of business context in the telemetry has helped to reduce MTTR by fifty percent, which has been the key metric."

"The product's deployment phase is good and very easy because it is done with OpenTelemetry for most of the parts."

"We utilize the APM and auto-detectors, as the core metrics and core alerts are available for us, which are the features of Splunk Observability Cloud that I appreciate the most."

More Splunk Observability Cloud pros

Cons

"We'd like to see a local presence within the region in order to have seamless service whether it's the support, the implementation, or professional services."

"There is room for improvement in the security part. They have a new solution, ExtraHop Reveal(x), and I think it needs improvement."

"The improvement that would make the most impact would be expanding on the new EXA big data back end."

"I would improve the Rule-Based Access Control (RBAC) by providing granular access control to the data."

"They either have to go broad or decide what their bread and butter is and get really good at that."

"This solution would be improved if it had the ability to retain data longer."

"The solution could get more aggressive in the discounting of the overall cost."

"Additional out-of-the-box solutions and use cases would be nice."

More ExtraHop Reveal(x) for IT Operations cons

"If it is a new deployment and you have a medium client with about 2,000 users or computers or servers, it will take about six months just to install and configure."

"We never had any issues when it comes to the type of use cases we are using it for. We did not need more advancement on it, but I know that, in general, everything can be updated. There are tiny little tweaks that can be made regardless of whether it looks better or has a different flow to it than it does right now, but it works pretty well for what we use it for."

"I've only experienced downtime, crashes, or performance issues when it isn't configured correctly."

"A wide variety of logging makes log onboarding difficult."

"The implementation can be more user-friendly."

"Integrating some third-party add-ons can be challenging, involving many implementation and configuration steps."

"I need a tool that can deal with all the security solutions that will find security monitoring compliance requirements, so I'll stick to BigFix over Splunk because I'm not that big a fan of Splunk, to be honest."

"Splunk APM's performance could be improved - at the moment, it's very slow and takes forever to give me what I want."

More Splunk Observability Cloud cons

Pricing and Cost Advice

"The price of this solution for our environment is about £650,000 ($855,000 USD) for three years."

"The pricing is fair considering the value provided."

"The pricing is higher than other solutions, but with such good features, I think it's worth it."

"It appears to be expensive compared to competitors."

"Splunk Observability Cloud is expensive."

"The product is a bit expensive considering the competition but the company may negotiate the price."

"Licensing cost is the biggest argument I get from those divesting from Splunk. There are those within our organization who say we are going to go to other tools since Splunk is too expensive."

"The solution's pricing is competitive. I rate the solution's pricing a seven out of ten. The price of the solution could be cheaper."

"This is an expensive solution."

"Splunk's infrastructure monitoring costs can be high because our billing is based on data volume measured in terabytes, rather than the number of devices being monitored."

"Splunk offers a 14-day free trial and after that, we have to pay but the cost is reasonable."

More Splunk Observability Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Outsourcing Company

11%

Comms Service Provider

11%

Construction Company

10%

Financial Services Firm

11%

Manufacturing Company

Outsourcing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	38
Midsize Enterprise	9
Large Enterprise	70

Questions from the Community

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Earn 20 points

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...

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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 ...

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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 ...

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Comparisons

NETSCOUT Network & Application Observability vs ExtraHop Reveal(x) for IT Operations

Compared 9% of the time

ExtremeAnalytics vs ExtraHop Reveal(x) for IT Operations

Compared 5% of the time

Splunk AppDynamics vs ExtraHop Reveal(x) for IT Operations

Compared 4% of the time

Splunk Enterprise Security vs ExtraHop Reveal(x) for IT Operations

Compared 4% of the time

Azure Network Watcher vs ExtraHop Reveal(x) for IT Operations

Compared 2% of the time

More ExtraHop Reveal(x) for IT Operations Competitors

Datadog vs Splunk Observability Cloud

Compared 3% of the time

Grafana vs Splunk Observability Cloud

Compared 2% of the time

PRTG Network Monitor vs Splunk Observability Cloud

Compared 2% of the time

Avantra vs Splunk Observability Cloud

Compared 2% of the time

Dynatrace vs Splunk Observability Cloud

Compared 2% of the time

More Splunk Observability Cloud Competitors

Product Reports

Buyer's Guide

ExtraHop Reveal(x) for IT Operations

November 2026

ExtraHop Reveal(x) for IT Operations report

Download ExtraHop Reveal(x) for IT Operations product report

Buyer's Guide

Splunk Observability Cloud

October 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

ExtraHop Reveal(x) for IT Operations leverages wire data analytics to provide valuable insights across all network layers. Offering auto-discovery, live PCAP analysis, and customizable dashboards, it empowers IT teams with enhanced application analysis and security detections.

Focusing on wire data analytics from Layer 2 to Layer 7, ExtraHop Reveal(x) delivers application analysis, security anomaly monitoring, and real-time traffic analysis. With plug-and-play deployment and minimal administration, it facilitates seamless integration. Users benefit from its comprehensive network performance evaluation, insightful network topology mapping, and capabilities like auto-discovery. Despite room for enhancement in industry-specific solutions, visualizations, and security features, its extensive programmability supports diverse IT operations needs. It is perfect for monitoring enterprise applications and ensuring efficient network security and operations.

What are the key features of ExtraHop Reveal(x) for IT Operations?

Wire Data Analytics: Analyzes data from Layer 2 to 7 for comprehensive insights into network performance.
Application Analysis: Offers deep analysis of applications to optimize performance and resolve issues quickly.
Security Detections: Provides robust anomaly detection for enhanced network security.
Customizable Dashboards: Users can tailor dashboards for specific monitoring needs.
Plug-and-Play Deployment: Ensures easy setup and integration with existing infrastructure.

What benefits and ROI should users look for in reviews?

Network Performance Insights: Provides detailed insights to improve network efficiency and performance.
Real-Time Traffic Analysis: Enables quick response to network anomalies with real-time data.
Enhanced Security Monitoring: Strengthens security through comprehensive anomaly detection.
Efficient Problem Resolution: Facilitates identification of root causes for rapid issue resolution.
Reduced Administrative Overhead: Requires minimal administration with an easy-to-deploy configuration.

ExtraHop Reveal(x) is implemented in industries requiring detailed IT infrastructure monitoring, enterprise application tracking, and network security evaluation. It aids in identifying device misconfigurations, vulnerabilities, and analyzing IT component interactions to ensure secure and efficient operations.

ExtraHop Networks

Splunk Observability Cloud provides advanced real-time monitoring and AI-powered insights, streamlining operations and reducing downtime across diverse computing environments.

Offering powerful tools for real-time monitoring, Splunk Observability Cloud enhances performance visibility and operational resilience through AI insights and comprehensive dashboards. With No-Sample Tracing and customizable alerts, it allows quick issue detection and resolution. Its user-friendly interface and seamless integration facilitate troubleshooting and decision-making. The platform's unified infrastructure is equipped for environments like Kubernetes, ensuring stability and efficiency. Users report reduced downtime and increased transparency.

What are the key features of Splunk Observability Cloud?

Real-Time Monitoring: Provides continuous visibility into infrastructure and applications.
AI-Powered Insights: Enhances decision-making with intelligent data analysis.
Comprehensive Dashboards: Offers customizable views for deep data insights.
No-Sample Tracing: Ensures accurate monitoring without missing critical data.
Customizable Alerts: Allows setting specific parameters for immediate issue detection.
Seamless Integration: Connects easily with systems to support diverse environments.

What benefits can users expect?

Reduced MTTR: Quicker mean time to resolution through effective monitoring tools.
Enhanced Performance Transparency: Improved visibility into system performance metrics.
Operational Resilience: Strengthens system stability through proactive monitoring.
Improved Troubleshooting: Streamlined process leads to faster problem-solving.
Increased Stability: Helps maintain consistent performance across environments.
Boosted Efficiency: Optimizes operational processes with sophisticated tools.

Splunk Observability Cloud is widely used for monitoring cloud infrastructures and microservices, optimizing AI applications, and enhancing application performance. It's integral in environments requiring real-time alerts, anomaly detection, and multi-cloud management, supporting use cases like infrastructure and application performance monitoring. Users leverage its capabilities for end-to-end visibility, focusing on metrics, logs, and traces for rapid problem-solving and performance assessment.

Splunk

Sample Customers

Alaska Airlines, bet365, Concur, McKesson, Microsoft, Morgan Stanley, Practice Fusion, Seattle Children's Hospital, Steward Health Care System

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

Buyer's Guide

ExtraHop Reveal(x) for IT Operations vs. Splunk Observability Cloud

November 2026

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