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InfluxDB vs Pico Corvil Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 10, 2024

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
12th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
19
Ranking in other categories
Non-Relational Databases (1st), Open Source Databases (7th), IT Infrastructure Monitoring (16th), NoSQL Databases (6th)
Pico Corvil Analytics
Ranking in Network Monitoring Software
71st
Average Rating
9.0
Reviews Sentiment
7.1
Number of Reviews
9
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 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 0.5%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Monitoring Software Mindshare Distribution
ProductMindshare (%)
InfluxDB0.3%
Pico Corvil Analytics0.5%
Other99.2%
Network Monitoring Software
 

Featured Reviews

Mugeesh Husain - PeerSpot reviewer
Team Lead, Software at Energybox
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.
Ted Hruzd - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The most valuable feature of the solution is we can use InfluxDB to integrate with and plug into any other tools."
"This product has been working well and it is serving our purpose, so I can recommend it to others."
"I recommend going with the cloud version of InfluxDB, as it's very cheap and effective."
"InfluxDB has positively impacted Energy Box by being the best choice for our needs."
"It helps me maintain my solution easily because it is very reliable, so we didn't face any performance issues or crashes regarding our queries; we can get the results very fast."
"InfluxDB's best feature is that it's a cloud offering. Other good features include its time-series DB, fast time-bulk queries, and window operations."
"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."
"InfluxDB reduced my time to show data without any interruption, also reducing the number of people needed to manage the project; it is very good to have InfluxDB in my project."
"We like the dashboards because they essentially organize all the sessions into one viewpoint."
"Corvil definitely delivers a performance advantage for our firm over our competition because we are able to address all issues on a near real-time basis."
"In the sense that it helps us identify performance issues, it does give us a performance advantage over competitors."
"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."
"It is a market leader in latency detection and monitoring with extremely precise time stamping even over a wide area."
"In terms of what it does, I'd give Corvil a ten out of ten; I've never seen a tool like it."
"Corvil is a great tool; it is the only one of the vendors that has 100% visibility into the market data stream."
 

Cons

"InfluxDB is generally stable, but we've encountered issues with the configuration file in our ticket stack. For instance, a mistake in one of the metrics out of a hundred KPIs can disrupt data collection for all KPIs. This happens because the agent stops working if there's an issue with any configuration part. To address this, it is essential to ensure that all configurations are part of the agent's EXE file when provided. This makes it easier to package the agent for server installation and ensures all KPIs are available from the server. Additionally, the agent cannot encrypt and decrypt passwords for authentication, which can be problematic when monitoring URLs or requiring authentication tokens. This requires additional scripting and can prolong service restart times."
"The interface of InfluxDB is so complex and should be made easier for non-technical people."
"The error logging capability can be improved because the logs are not very informative."
"The solution's UI can be more user-friendly."
"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."
"However, I cannot ignore the challenges I faced while configuring the database with my message brokers, whether Rabbit or Kafka, because the documentation is not properly provided."
"One area for improvement is the querying language. InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying."
"However, I do wish the documentation and community resources around Flux were more extensive and beginner-friendly."
"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."
"With the architecture that Corvil is built on, it's cumbersome."
"There is definitely room for improvement in the reporting... The whole interface where you build reports and schedule them is very clunky and I find that, whereas on the GUI you can pull out all the metrics you want and it's very flexible and nice and easy to customize, the reporting is not very intuitive."
"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 - if you wanted to capture new traffic that's going through - you had to tell it what protocol the message is going to come through and how to correlate messages, etc."
"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."
"Overall, the Corvil device needs a little bit of training for people to handle it."
"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."
"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."
 

Pricing and Cost Advice

"InfluxDB is open-source, but there are additional costs for scaling."
"We are using the open-source version of InfluxDB."
"The tool is an open-source product."
"InfluxDB recently increased its price. It is very expensive now."
"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."
"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."
"Corvil has reduced the time it takes us to isolate root causes."
"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."
"As I am working more with Corvil, it looks like it is improving diagnostic times."
"The pricing is very expensive. Corvil could work on the pricing."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
40%
Computer Software Company
9%
Non Profit
5%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise4
Large Enterprise8
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise6
 

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 ...
What needs improvement with InfluxDB?
One thing I appreciate about InfluxDB is its balance between performance and ease of use, especially with Flux making complex queries accessible. However, I do wish the documentation and community ...
What is your primary use case for InfluxDB?
My main use case for InfluxDB has been mostly for monitoring and analyzing the time-series data related to system metrics, and also tracking logs and API performance. In my current role, I use it t...
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Also Known As

No data available
Corvil
 

Overview

 

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.
Find out what your peers are saying about InfluxDB vs. Pico Corvil Analytics and other solutions. Updated: March 2026.
885,444 professionals have used our research since 2012.