InfluxDB vs Pico Corvil Analytics comparison

InfluxData and PICO are both solutions in the Network Monitoring Software category. InfluxData is ranked #23 with an average rating of 8.9, while PICO is ranked #73. InfluxData holds a 0.3% mindshare in NMS, compared to PICO’s 0.6% mindshare. Additionally, 100% of InfluxData users are willing to recommend the solution, compared to 100% of PICO users who would recommend it.

InfluxDB

Read 17 InfluxDB reviews

3,182 Views
573 Comparison Views

100% willing to recommend

Pico Corvil Analytics

Read 9 Pico Corvil Analytics reviews

1,486 Views
1,323 Comparison Views

100% willing to recommend

InfluxDB

Pico Corvil Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 10, 2024

InfluxDB and Pico Corvil Analytics compete in data handling capabilities. InfluxDB seems to have the upper hand in pricing and support, while Pico Corvil Analytics leads with advanced features justifying its higher cost.

Features: InfluxDB provides robust time-series functionalities ideal for IoT and real-time analytics. It also offers flexibility and ease of use for developers. Pico Corvil Analytics is known for advanced network data analytics, providing comprehensive visibility and intelligence. It excels in network performance monitoring.

Room for Improvement: InfluxDB could enhance its network monitoring capabilities and provide more advanced data analytics. It may also benefit from improving its customization options. Pico Corvil Analytics might simplify its deployment process to attract a broader user base. Lowering the initial cost could increase accessibility. Improving user interface intuitiveness could further enhance user experience.

Ease of Deployment and Customer Service: InfluxDB offers a straightforward deployment model with comprehensive documentation and responsive customer service, ensuring a low barrier to entry. Pico Corvil Analytics requires a more intricate setup due to its complex analytics but compensates with strong support and detailed insights.

Pricing and ROI: InfluxDB appeals with cost-effective setup and delivers quick ROI through minimal training and operational costs. Pico Corvil Analytics involves a higher initial investment but offers substantial long-term ROI through enhanced analytical insights and network optimization.

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

Buyer's Guide

InfluxDB vs. Pico Corvil Analytics

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

InfluxDB

Ranking in Network Monitoring Software

23rd

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Non-Relational Databases (2nd), Open Source Databases (8th), IT Infrastructure Monitoring (21st), NoSQL Databases (6th)

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

Mindshare comparison

As of January 2026, in the Network Monitoring Software category, the mindshare of InfluxDB is 0.3%, down from 0.4% compared to the previous year. The mindshare of Pico Corvil Analytics is 0.6%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Network Monitoring Software Market Share Distribution
Product	Market Share (%)
InfluxDB	0.3%
Pico Corvil Analytics	0.6%
Other	99.1%

Network Monitoring Software

Featured Reviews

Mugeesh Husain

Team Lead, Software at a tech vendor with 51-200 employees

Time series data has been managed efficiently for IoT sensors but reporting still needs improvement

How InfluxDB can be improved is relevant since for Energy Box, we face certain issues. We have customers worldwide, including the United States, United Kingdom, and Europe, but when we expanded to China two years ago, they indicated that they do not support the cloud version there. Our application is built on the cloud, which required us to create a separate application for Azure China, which was painful for us. The second issue involves frequent version changes. For example, we started with version one, transitioned to version two, and I heard they are considering InfluxDB version three, reverting to earlier practices. InfluxDB should improve without completely changing its approach. Now we have to redo our work for InfluxDB version three. Regarding needed improvements, the documentation is sufficient, but pricing presents a challenge. InfluxDB has standard pricing, which is acceptable for large companies. However, for startups in our position, they should provide special discounts so everyone can utilize it. The pricing should adapt as companies grow, which is a reasonable expectation.

Read full review

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

Quotes from Members

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

Pros

"InfluxDB works as expected with excellent scalability and stability, which is critical for our application."

"While I would rate InfluxDB a ten on a scale of one to ten, users should be thoughtful about matching the engine to their specific needs."

"InfluxDB is a database where you can insert data. However, it would be best if you had different components for alerting, data sending, and visualization. You need to install tools to collect data from servers. It must be installed on Windows or Linux servers. During installation, ensure that the configuration file is correct to prevent issues. Once data is collected, it can be sent to InfluxDB. For visualization, you can use open-source tools like Grafana."

"In our case, it started with a necessity to fill the gap that we had in monitoring. We had very reactive monitoring without trend analysis and without some advanced features. We were able to implement them by using a time series database. We are able to have all the data from applications, logs, and systems, and we can use a simple query language to correlate all the data and make things happen, especially with monitoring. We could more proactively monitor our systems and our players' trends."

"The most valuable features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."

"The solution is very powerful."

"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana."

"Overall, InfluxDB delivered excellent performance, stability, and simplicity for telemetry-driven use cases."

More InfluxDB pros

"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."

"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."

"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."

"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."

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

"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."

More Pico Corvil Analytics pros

Cons

"Sometimes, when we write too much data within a minute, the data count becomes excessive, reaching perhaps 100,000 or 500,000 data points, and InfluxDB gives a timeout exception, which we must handle in our application."

"If it gets a little bit more into the metric side, then it would really be great, similar to Prometheus."

"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."

"One area for improvement is the querying language. InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying."

"I've tried both on-premises and cloud-based deployments, and each has its limitations."

"InfluxDB can improve by including new metrics on other technologies. They had some changes recently to pool data from endpoints but the functionality is not good enough in the industry."

"I haven't seen a return on investment; unfortunately, I cannot share relevant metrics such as time saved, fewer employees needed, or money saved."

"The interface of InfluxDB is so complex and should be made easier for non-technical people."

More InfluxDB cons

"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."

"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."

"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."

"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."

"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."

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

"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."

"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."

More Pico Corvil Analytics cons

Pricing and Cost Advice

"InfluxDB recently increased its price. It is very expensive now."

"The tool is an open-source product."

"InfluxDB is open-source, but there are additional costs for scaling."

"We are using the open-source version of InfluxDB."

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

"It is pricey versus its competitors."

"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."

"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."

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Top Industries

By visitors reading reviews

Manufacturing Company

10%

Financial Services Firm

Computer Software Company

University

Financial Services Firm

46%

Computer Software Company

10%

Non Profit

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	3
Large Enterprise	8

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

Questions from the Community

What do you like most about InfluxDB?

InfluxDB is a database where you can insert data. However, it would be best if you had different components for alerting, data sending, and visualization. You need to install tools to collect data ...

See all answers

What needs improvement with InfluxDB?

Although I didn't encounter any significant challenges, I think that if there was a NoSQL version of InfluxDB, that would also help because I have used the SQL version. I wish InfluxDB were also av...

See all answers

What is your primary use case for InfluxDB?

My main use case for InfluxDB involved working on a LEO satellite KPI monitoring application, where I gathered latency, throughput, packet loss, jitter, and various types of network data for severa...

See all answers

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Product Reports

Buyer's Guide

InfluxDB

January 2026

Download InfluxDB product report

Buyer's Guide

Pico Corvil Analytics

January 2026

Download Pico Corvil Analytics product report

Also Known As

No data available

Corvil

Overview

InfluxDB is open-source software that helps developers and enterprises alike to collect, store, process, and visualize time series data and to build next-generation applications. InfluxDB provides monitoring and insight on IoT, application, system, container, and infrastructure quickly and easily without complexities or compromises in scale, speed, or productivity.

InfluxDB has become a popular insight system for unified metrics and events enabling the most demanding SLAs. InfluxDB is used in just about every type of industry across a wide range of use cases, including network monitoring, IoT monitoring, industrial IoT, and infrastructure and application monitoring.

InfluxDB offers its users:

Infrastructure and application monitoring: Collect, process, and analyze real-time data from edge devices to help optimize distributed infrastructure.

IoT monitoring and analytics: InfluxDB is designed to store large volumes of time series data and quickly perform real-time analysis on that data. Gain insights from all the sensor data and use the collected data to create and perform automated tasks.

Network monitoring: Manage responsive and high-performing networks with widely distributed resources.

InfluxDB Benefits

There are several benefits to using InfluxDB . Some of the biggest advantages the solution offers include:

APIs and ready toolset: InfluxDB can be accessed via a set of powerful tools enabling users to get started quickly, with less programming required. This includes a REST API, extensive client libraries, a wide variety of open-source integrations, and Flux - a functional data scripting language for querying, analysis, and events. The InfluxDB API can be used to write data from edge devices to the InfluxDB instance

Time series engine: Get any data - events, logs, traces - from any edge device - systems, sensors, queues, databases, and networks. This data is stored in a powerful and high-performing engine capable of ingesting millions of data points per second.

Community: InfluxDB has a large community of cloud and open-source developers ready to assist users.

Ready-made templates: Use InfluxDB Templates, a set of tools with a packager and other ready monitoring solutions. These tools allow users to share their monitoring expertise with coworkers and other community members around the world. The Templates gallery offers available templates for some of the most popular tools and applications.

Enhanced UI: InfluxDB’s UI includes an explorer, dashboarding tools, and a script editor. Use it to easily browse the collected metric and event data and apply common transformations. The dashboarding tool comes with a variety of visualization options that help users view insights from the data. The script editor assists users to quickly master Flux with easily accessible examples, auto-completion, and real-time syntax checking.

Reviews from Real Users

InfluxDB stands out among its competitors for a number of reasons. Two major ones are its flexible integration options and its data aggregation feature.

Shalauddin Ahamad S., a software engineer at a tech services company, notes, “The most valuable features are aggregating the data and the integration with Grafana for monitoring.”

InfluxData

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

Sample Customers

ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo

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

Buyer's Guide

InfluxDB vs. Pico Corvil Analytics

December 2025

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