Pico Corvil Analytics vs Splunk Observability Cloud comparison

PICO and Splunk are both solutions in the Network Monitoring Software category. PICO is ranked #73, while Splunk is ranked #6 with an average rating of 8.4. PICO holds a 0.6% mindshare in NMS, compared to Splunk’s 1.3% mindshare. Additionally, 100% of PICO users are willing to recommend the solution, compared to 96% of Splunk users who would recommend it.

Pico Corvil Analytics

Read 9 Pico Corvil Analytics reviews

1,486 Views
1,323 Comparison Views

100% willing to recommend

Splunk Observability Cloud

Read 75 Splunk Observability Cloud reviews

7,605 Views
2,358 Comparison Views

96% willing to recommend

Pico Corvil Analytics

Splunk Observability Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 28, 2025

Splunk Observability Cloud and Pico Corvil Analytics compete in enhancing data analysis capabilities. Splunk is favored for its pricing and support, while Pico Corvil Analytics is preferred for its advanced features justifying its higher cost.

Features: Splunk Observability Cloud offers real-time data analytics, anomaly detection, and extensive data integration. It excels in providing real-time visibility and alerting for various data environments. Pico Corvil Analytics focuses on deep network analytics, performance insights, and latency mitigation, critical for high-frequency trading environments. It provides comprehensive monitoring and real-time packet decoding, making it indispensable for specific network insights.

Room for Improvement: Splunk Observability Cloud could enhance customization options within its dashboards, improve AI analytics integration, and optimize resource usage for better scalability. Pico Corvil Analytics could benefit from broader data source integration, more user-friendly interfaces, and increased flexibility in custom analytics configurations.

Ease of Deployment and Customer Service: Splunk Observability Cloud is known for its seamless cloud-based deployment and responsive customer service that assists effectively during setup and troubleshooting. Pico Corvil Analytics, while offering solid deployment options, shines in environments that require specialized implementation and support.

Pricing and ROI: Splunk Observability Cloud generally provides competitive setup costs with flexible pricing structures, ensuring a strong ROI across various sectors. Pico Corvil Analytics, though requiring a higher initial investment, offers substantial ROI for organizations needing detailed network performance analytics, thereby making it a valuable investment for niche applications.

To learn more, read our detailed Pico Corvil Analytics vs. Splunk Observability Cloud Report (Updated: December 2025).

Buyer's Guide

Pico Corvil Analytics vs. Splunk Observability Cloud

December 2025

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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

Pico Corvil Analytics

Ranking in Network Monitoring Software

73rd

Average Rating

9.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Splunk Observability Cloud

Ranking in Network Monitoring Software

6th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (8th), IT Infrastructure Monitoring (7th), Cloud Monitoring Software (6th), Container Management (6th), Digital Experience Monitoring (DEM) (2nd)

Mindshare comparison

As of January 2026, in the Network Monitoring Software category, the mindshare of Pico Corvil Analytics is 0.6%, up from 0.5% compared to the previous year. The mindshare of Splunk Observability Cloud is 1.3%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Network Monitoring Software Market Share Distribution
Product	Market Share (%)
Splunk Observability Cloud	1.3%
Pico Corvil Analytics	0.6%
Other	98.1%

Network Monitoring Software

Featured Reviews

Ted Hruzd

Founder at AI Fit LLC

Helpful support agents, beneficial issue detection, and high availability

The creation of charts and real-time windows was somewhat cumbersome. The vendor's website had an application called App Agent that required improvement. This API was designed to track message rates between microservers ingested into a microservice memory map. It allowed users to monitor the number of transactions that occurred at specific points within the application, and it was quite impressive. However, it had some limitations, and it mainly served as a tool for basic tracking. The protocols it employed could reveal the type of server-to-server communication and the specific order types, but it was not able to provide a more in-depth analysis of the application. The vendor has the potential to integrate application metrics more extensively into their product suite. The product suite could benefit from more out-of-the-box predictive analytics capabilities, such as projecting market or symbol movements. However, it is unclear whether the vendor currently provides this functionality. Users may need to adjust their software to perform such analysis independently.

Read full review

Dhananjay Dileep

Senior Software Engineer at a consultancy with 10,001+ employees

Unified monitoring has improved end-to-end visibility and reduced detection time across apps

When we have too many detectors in place for one particular app, such as when I have created 50+ detectors through my account, the entire page becomes a bit loaded when creating the 51st detector, feeling heavy and taking time to load. Additionally, it throws random errors; for example, when we try to save one detector, it might throw some random error which is not even related, with something else being wrong, not that particular error, but the underlying root cause might be different. Sometimes the error is just "some problem occurred," and we are not able to point out what the real cause is. This mainly happens when we have too many detectors or too many alerts in place rather than a standard number. One more thing is in the alert rules; if we have a main general alert, and instead of creating a new detector, we are adding a new rule under one detector, when the number of rules also increases, such as when we have 10 or 15 rules under one generic detector, that again creates the same kind of problem, taking some time to save that particular newly added rule, and it might not save at times, just keeps on spinning. Those are the two drawbacks which I spotted recently; other than that, everything looks perfect.

Read full review

Quotes from Members

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

Pros

"We use the data to analyze how much time we spend within the applications. Then, based on that, we are doing multiple analyses and types of investigations to work on reducing the amount of time spent on the latency, which helps our applications."

"It allows us to trace the flow. The logic is built sufficiently for us to be able to break down clients' orders, underlying child orders, and execution. Thus, it's a good way for us to trace client flow through a myriad of different internal systems."

"Time-series graphs are very good for performance analysis. We can do comparisons... We can say this is the latency in the last 24 hours, and this was the same 24-hour period a week ago and overlay the two time-series graphs on top of each other, so we can see the difference. That's a really powerful tool for us."

"As part of my role in monitoring multiple client connections, I would use Pico Corvil Analytics to set up alerts for performance issues, such as TCP resends and dropped packets. These alerts would trigger when the volume was low and performance was poor, allowing me to work with our trading partners to find a resolution. I would present them with the statistics I had and together, we would identify the source of the issue. This collaboration resulted in the client often reconfiguring their systems. For example, we may find that a network connection needed to be made. Overall, this proactive approach helped to maintain strong connections with our clients and minimize disruptions to trading revenue."

"We're able to quickly drill down and find answers to events that are happening in real-time, using Corvil's analytics tools. That's the feature which is most in the spotlight..."

"We can use CLI with the UI for configuring the new monitoring system, which is good."

"We like the dashboards because they essentially organize all the sessions into one viewpoint."

"What is most valuable is the ability to troubleshoot when a client complains of spikes in latencies. It gives us the ability to go granular, all the way down to looking at the network packets and analyze them."

More Pico Corvil Analytics pros

"The dashboards are the features of Splunk Observability Cloud that I appreciate the most, providing visual representation of all data and text, which has benefited my organization by speeding up people's jobs and allowing a place to monitor all logs, as there are usually thousands of entries coming in which can become very disorderly."

"The solution overall is very valuable for me."

"The ability to create custom dashboards is one of the best features and that's typically why most people deploy Splunk. Users can create dashboards for just about anything."

"The features I have found most valuable are log searching and log analytics, both of which are quick features."

"Once configured correctly, the analysis reporting the Splunk APM provides is better than that of the other APM tools."

"Customer service and technical support respond very quickly."

"The solution's basic visibility is one of its most valuable features. So, it is a solution that is easy to use...The solution's initial setup process was straightforward."

"It is a good tool. It allows you to set alerts for application and infrastructure monitoring, and it allows you to create dashboards."

More Splunk Observability Cloud pros

Cons

"It's quite difficult to see, sometimes, how hard your Corvil is working. When we had a very busy feed that chucked out a lot of data it wasn't working very well on Corvil. We had to raise a case for it. It turned out to be that, in fact, we were overloading Corvil."

"Before I got the Corvil training... one thing that was not very efficient was that every time you had to create a new stream or a new session from within Corvil... you had to tell it what protocol the message is going to come through and how to correlate messages, etc... After I went for the training, they had already added these nice features in the 9.4 version where it could do auto-discovery... Based on the traffic that it has already seen, it could create sessions on the fly."

"Alerting isn't great... you can only put in one email address in. And that's for all kinds of alerting on the box."

"For FIX protocol, maybe we could have built-in configurations for signatures and decoders. Also, for certain protocols, which are newer, we would like to just add the signatures within the decoders itself."

"There is definitely room for improvement in the reporting. We've tried to use the reporting in Corvil but, to me, it feels like a bolt-on, like not a lot of thought has gone into it. The whole interface where you build reports and schedule them is very clunky."

"The creation of charts and real-time windows was somewhat cumbersome. The vendor's website had an application called App Agent that required improvement. This API was designed to track message rates between microservers ingested into a microservice memory map. It allowed users to monitor the number of transactions that occurred at specific points within the application, and it was quite impressive. However, it had some limitations, and it mainly served as a tool for basic tracking. The protocols it employed could reveal the type of server-to-server communication and the specific order types, but it was not able to provide a more in-depth analysis of the application. The vendor has the potential to integrate application metrics more extensively into their product suite."

"Overall, the Corvil device needs a little bit of training for people to handle it. If that could be reduced and made more user-friendly, more intuitive, it would be better."

"In terms of performance analysis, if you really want to dig down into the minutiae and get statistics on the important things... that would be the only piece lacking because, in our environment, we have thousands and thousands of symbols. With the architecture that Corvil is built on, it's cumbersome."

More Pico Corvil Analytics cons

"It does not have a user-friendly interface and it is difficult to use."

"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."

"Once you see the issues related to the scalability part, you need to understand that it is a warning triangle. After seeing the warning triangle, you need to realize that you cannot trust any of the numbers you see in the chart because it is not a complete, full data set."

"I've been using the Splunk query language, and it can be a bit time-consuming to set up the queries I need."

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

"One thing I recently ran into was that the logs on the server most often get Gzipped after they have been rotated. We found that we were not monitoring some of the things, so we had to go back and pull them in. Right now, it pulls one at a time, untars it, or unzips it, so I cannot look at the entire history. There can be an improvement in that area."

"The cost needs to be re-examined. It's extremely expensive to run. It's also expensive to expand. That's the number one complaint all of my customers have when it comes to Splunk. It's way too expensive compared to other solutions."

"There is room for improvement in the alerting system, which is complicated and has less documentation available."

More Splunk Observability Cloud cons

Pricing and Cost Advice

"I like the way they've decoupled the hardware now... Everything's based on the licensing side now. The way they do the packs is fair. It's very flexible in that we're not charged per decoder, we're charged for a certain pack. Whether we use one decoder or 20 decoders, as long as they're in the same pack, there's no extra charge. Expensive but fair is how I'd summarize it."

"The pricing is very expensive. Corvil could work on the pricing."

"As I am working more with Corvil, it looks like it is improving diagnostic times."

"Corvil has reduced the time it takes us to isolate root causes."

"It is pricey versus its competitors."

"Pico Corvil Analytics is expensive. There are several competitors in the market. Selling this solution to a trading firm might be challenging as there are several other solutions available that can perform basic similar operations, such as using Wireshark and Python scripts to obtain the required values. However, that does not nearly approach the comprehensive end-2-end automated depth of metrics and their correlations that Pico Corvil Analytics provides."

"We bought a box from Corvil and it was $200,000 for one big CNE. Then there are obviously the recurring maintenance fees. The licensing is perpetual but the maintenance fees are not."

"The solution's pricing is costly."

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

"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."

"The pricing is reasonable."

"I would rate the price of Splunk Infrastructure Monitoring as an eight out of ten, with ten being the most expensive."

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

"The pricing is based on several factors, including the scale of deployment."

More Splunk Observability Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

46%

Computer Software Company

10%

Non Profit

Comms Service Provider

Financial Services Firm

13%

Computer Software Company

10%

Manufacturing Company

10%

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	10
Large Enterprise	48

Questions from the Community

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The most valuable feature is dashboard creation.

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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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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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Product Reports

Buyer's Guide

Pico Corvil Analytics

January 2026

Download Pico Corvil Analytics product report

Buyer's Guide

Splunk Observability Cloud

January 2026

Download Splunk Observability Cloud product report

Also Known As

Corvil

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

Overview

Corvil transforms Network Data with speed and precision into the powerful real-time truth. Corvil captures, decodes, reassembles, and enriches vast amounts of data in motion, adding analytics and making the resulting enriched data and IT Operations Analytics available to humans, machines and other systems.

PICO

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

NASDAQ, Commerzbank, Pico Quantitative Trading, CME Group, Interactive Data, Tokyo Stock Exchange Inc.

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

Buyer's Guide

Pico Corvil Analytics vs. Splunk Observability Cloud

December 2025

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