Pico Corvil Analytics vs ScienceLogic comparison

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Pico Corvil Analytics

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Executive SummaryUpdated on Oct 10, 2024

ScienceLogic and Pico Corvil Analytics are competing solutions in network performance monitoring. Based on data comparisons, ScienceLogic holds an advantage in pricing and ease of deployment, whereas Pico Corvil Analytics offers superior features justifying its higher price point.

Features: ScienceLogic offers dynamic network mapping, extensive cloud integration capabilities, and automated infrastructure management. Pico Corvil Analytics provides advanced real-time data acquisition and analysis systems, comprehensive network traffic insights, and sophisticated anomaly detection features.

Room for Improvement: ScienceLogic could enhance its data analysis depth, improve user interface customization, and expand automated troubleshooting capabilities. Pico Corvil Analytics could benefit from more straightforward deployment options, streamlined user interface, and lower initial pricing.

Ease of Deployment and Customer Service: ScienceLogic provides a straightforward deployment process with robust customer support, suitable for organizations with limited IT resources. Pico Corvil Analytics involves a more complex setup but offers highly effective analysis tools and technical support.

Pricing and ROI: ScienceLogic is competitively priced with tangible ROI through efficient network operations management. Pico Corvil Analytics, although more expensive upfront, delivers significant ROI with its advanced data analysis capabilities, valuable for detailed network analysis requirements.

To learn more, read our detailed Pico Corvil Analytics vs. ScienceLogic Report (Updated: April 2025).

Pico Corvil Analytics vs. ScienceLogic

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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

ScienceLogic

Ranking in Network Monitoring Software

25th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Event Monitoring (7th), Unified Communications Monitoring (1st), Server Monitoring (12th), IT Infrastructure Monitoring (22nd), IT Operations Analytics (7th), Cloud Monitoring Software (18th), AIOps (7th)

Mindshare comparison

As of May 2025, in the Network Monitoring Software category, the mindshare of Pico Corvil Analytics is 0.5%, up from 0.3% compared to the previous year. The mindshare of ScienceLogic is 1.3%, down from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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.

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Michael Wenn

CEO / Co-Founder at Aiops ltd

Offers comprehensive monitoring and tool consolidation but integration complexity needs improvement

There is room for improvement in the speed of setting up the service and integrating PowerPacks. Although these prebuilt features are great, there is considerable complexity in bringing them together to create a unified dashboard. Even with many good integrations and deep visibility, the implementation takes time, especially when it doesn't involve these integrations. While some other companies have easier APIs, using this solution demands significant expertise. It's challenging for new customers to implement independently. The implementation speed of non-PowerPack or non-out-of-the-box integrations should be improved. Additionally, the AI automation feature is not yet very rich due to resource constraints supporting a wide platform.

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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

"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."

"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."

"The analytics features of Corvil are really good... As long as you know what the field is in the message, you can build your metrics based on that field... It means you can do the analytics that you actually care for. You can customize it..."

"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."

"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."

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

"It has all the decoders so it's capturing every network packet and it's decoding in real-time and it's giving us latency information in real-time... It's the real-time decoding and getting the latency information statistics that we find the most useful."

More Pico Corvil Analytics pros

"The most valuable features of ScienceLogic are AI and machine learning."

"The flexibility to support most technologies. The way ScienceLogic gathers data from multiple sources is vital to our customers. As we work with new customers (often with different technology requirements), ScienceLogic is flexible enough to support our clients’ varying network needs."

"I recommend ScienceLogic to other users."

"The best feature is the highly flexible graphs."

"The solution provides good infra-monitoring features."

"ScienceLogic allows us to create and customize a user-friendly dashboard."

"Best feature of all is detailed monitoring of services, processes, ports and SSL certificates and or web content."

"The solution excels in three areas: application monitoring, server monitoring, and network performance monitoring."

More ScienceLogic pros

Cons

"The analytics feature is very nice, but it's mostly software. We are hoping that it could be embedded in ASICs, so it could be faster."

"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."

"While the product is scalable, it's not easy to scale. It needs investment hardware and network bandwidth consideration. It's not something you can just do overnight."

"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."

"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."

"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."

"I have seen errors where the CNE and the CMC haven't synced because of something missing in the CMC, which was there in the CNE. We would get some type of error, but it doesn't actually say what exactly was missing in the CNE."

"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."

More Pico Corvil Analytics cons

"ScienceLogic could improve the implementation, it could be made easier."

"There is room for improvement in the speed of setting up the service and integrating PowerPacks."

"It was challenging onboarding users."

"Integrating observability and APM monitoring into the overall portfolio would be beneficial."

"The product is not user-friendly."

"ScienceLogic should provide detailed documents to customer as the current documents are not sufficient."

"One important area we feel could be improved is the UI. It takes a lot of clicks to do very simple tasks."

"Integrating observability and APM monitoring into the overall portfolio would be beneficial."

More ScienceLogic cons

Pricing and Cost Advice

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

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

"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."

"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."

"It is pricey versus its competitors."

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

"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."

"The solution is license-based. It's between $8 and $15, depending on what you need from the product."

"Pricing between the two is quiet large therefore you can save some money if you don't require to collect all info on each device."

"The license of ScienceLogic is based on how many endpoints are used. The number of monitoring points you want to have."

"Its price could be lower, but for what you pay, you got a lot of value from its features and functionalities. Customers always want a discount or a cheaper solution."

"The pricing model for ScienceLogic could improve."

"My company has an enterprise-level contract with ScienceLogic, so it is available to my organization at a good price."

"It comes with the OS built in, so no need to purchase an OS license or DB license."

"Plan for adding more to it. Once you see EM7 in action, you will want to keep adding systems to monitor."

More ScienceLogic pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

56%

Computer Software Company

10%

Manufacturing Company

Educational Organization

Computer Software Company

13%

Financial Services Firm

13%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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What do you like most about ScienceLogic?

The tool is quite easy to deploy, and it offers very good support.

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What is your experience regarding pricing and costs for ScienceLogic?

ScienceLogic is not that expensive and is cost-effective overall.

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What needs improvement with ScienceLogic?

ScienceLogic is working towards a kind of AI, DKAIRA enablement, but I find one dependency is the frequent need to rely on professional services. If the knowledge for implementation could be spread...

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Product Reports

Pico Corvil Analytics

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Also Known As

Corvil

No data available

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

ScienceLogic is a comprehensive IT infrastructure monitoring solution that supports networks, servers, cloud environments, and applications, suitable for private cloud and on-premises deployments.

Organizations leverage ScienceLogic for its robust capabilities in monitoring IT infrastructures of all sizes. It offers granular discovery, integration with CMDB, and ticketing systems. Valued for its flexibility, incident automation, remediation, and real-time relationship mapping, it supports hybrid environments with scalable and efficient monitoring functionalities. AI and machine learning enhance its feature set, while ease of deployment and strong support are crucial benefits.

What are ScienceLogic's most important features?

Agentless Configuration: Ensures easy deployment without the need for agents.
Third-Party Integration: Seamlessly integrates with various tools.
Dynamic Component Mapping: Offers real-time relationship and dependency mapping.
Flexible Graphs: Allows custom visual representation of data.
Role-Based Access: Provides tiered access for different user roles.
Infrastructure and Event Management: Efficiently monitors hybrid environments.

What benefits and ROI should users look for?

Scalability: Handles environments of all sizes efficiently.
AI and Machine Learning: Enhances automation and incident management.
Ease of Deployment: Streamlines initial setup and reduces time to value.
Customization: Custom dashboards and reports cater to specific needs.
Comprehensive Support: Access to excellent support services.

ScienceLogic is implemented across multiple industries, including large enterprises, for its capability to handle complex IT ecosystems. Its integration with CMDB and ticketing systems ensures it fits within existing workflows. Organizations use it to monitor diverse infrastructure landscapes, ensuring seamless performance and quick incident resolution.

Sample Customers

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

Kellogg Company, Booz Allen, Cisco, Red Bull, Fidelus, Telstra, Comcast, CSC, Peak 10, HughesNet, Hosting, Datapipe, US Army, Equinix, Rite Aid, Carbonite, Sybase, Carpathia, AT&T, ePlus, Dimension Data, Virtustream, Boeing, Honeywell

Pico Corvil Analytics vs. ScienceLogic