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

ExtraHop Networks and Splunk are both solutions in the Network Monitoring Software category. ExtraHop Networks is ranked #71, while Splunk is ranked #7 with an average rating of 8.3. ExtraHop Networks holds a 0.6% mindshare in NMS, compared to Splunk’s 1.3% mindshare. Additionally, 100% of ExtraHop Networks users are willing to recommend the solution, compared to 95% of Splunk users who would recommend it.

ExtraHop Reveal(x) for IT O...

Read 8 ExtraHop Reveal(x) for IT Operations reviews

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2,218 Comparison Views

100% willing to recommend

Splunk Observability Cloud

Read 88 Splunk Observability Cloud reviews

16,217 Views
5,514 Comparison Views

95% 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: June 2026).

Buyer's Guide

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

June 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

71st

Average Rating

8.6

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Network Diagnostics (11th), IT Operations Analytics (14th), Network Packet Capture (6th)

Splunk Observability Cloud

Ranking in Network Monitoring Software

7th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (6th), IT Infrastructure Monitoring (7th), Cloud Monitoring Software (5th), Container Management (6th), Digital Experience Monitoring (DEM) (3rd)

Mindshare comparison

As of June 2026, in the Network Monitoring Software category, the mindshare of ExtraHop Reveal(x) for IT Operations is 0.6%, up from 0.5% compared to the previous year. The mindshare of Splunk Observability Cloud is 1.3%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Network Monitoring Software Mindshare Distribution
Product	Mindshare (%)
Splunk Observability Cloud	1.3%
ExtraHop Reveal(x) for IT Operations	0.6%
Other	98.1%

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

"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."

"The most valuable features are security detections, perimeter detection, dashboards, and alerts."

"It's a must-have solution for large IT Operations, providing the ability to analyze infrastructure and application-related performance and data from the wire perspective."

"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."

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

"Wire data analytics."

More ExtraHop Reveal(x) for IT Operations pros

"It's starting to help reduce our Mean Time to Detect (MTDD) because the visibility we gain is unprecedented, allowing us insight into applications that we've never had before."

"The initial setup was straightforward. We didn't find it to be too complex."

"The most valuable features are troubleshooting and optimizing application performance."

"The most valuable feature in this solution is the log searching."

"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 company has many systems that the customer is paying to access. Splunk APM issued via AppDynamics helps find problems in the feed. It reduces the risk of supervising all the devices. I can supervise the flow and simulate the conditions of the repository across several dashboards to show what's happening at the moment."

"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."

"This solution is very quick to deploy as it is a SaaS solution and integrates with tools like ServiceNow."

More Splunk Observability Cloud pros

Cons

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

"We've had some struggles getting it to see everything that we want to see. Network visibility is something that needs to be improved."

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

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

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

"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."

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

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

More ExtraHop Reveal(x) for IT Operations cons

"It's a bit difficult to use. It takes some time to get into it and to get it to do what you would like it to do. It is not straightforward to use it."

"One area that has room for improvement is the pricing; as I mentioned, it can be expensive due to large data volumes."

"Splunk Observability Cloud could be improved by having more integration with Splunk Cloud because at the moment they're two separate products. They're making great moves on what they call unified access; tighter integration is always a good thing."

"The solution's machine learning deployment is hard and should be made user-friendly."

"Support from Splunk is not very helpful because Splunk doesn't have a dedicated APM; they only have one APM engineer in Korea."

"A lot of customers had a hard time effectively searching within the data in Splunk. There is a learning curve from searches to indexes and using all the macros that we have created. It is a little difficult for somebody who has not used it quite a bit and does not have a lot of practice with it, but the AI features that we have been hearing about through Splunk will make it a lot easier for us to use human language to search this data. That is big. That is pretty powerful, and that will help a lot with our customers."

"I believe that areas of Splunk Observability Cloud that could be improved include the initial setup and instrumentation costs, which take more time for APM."

"The clustering part of indexes can be more refined."

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."

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

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

"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."

"The solution's pricing is costly."

"This is an expensive solution."

"Splunk has been fairly expensive, but it has been predictable."

"Splunk APM is expensive."

"It is expensive."

More Splunk Observability Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Construction Company

13%

Healthcare Company

Computer Software Company

Financial Services Firm

12%

Manufacturing Company

Computer Software Company

Construction Company

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	32
Midsize Enterprise	8
Large Enterprise	55

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...

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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

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Compared 3% of the time

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Compared 2% of the time

Grafana vs Splunk Observability Cloud

Compared 2% of the time

Honeycomb Enterprise vs Splunk Observability Cloud

Compared 1% of the time

More Splunk Observability Cloud Competitors

Product Reports

Buyer's Guide

ExtraHop Reveal(x) for IT Operations

June 2026

ExtraHop Reveal(x) for IT Operations report

Download ExtraHop Reveal(x) for IT Operations product report

Buyer's Guide

Splunk Observability Cloud

May 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 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

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

June 2026

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

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