InfluxDB vs Pico Corvil Analytics comparison

InfluxData and PICO are both solutions in the Network Monitoring Software category. InfluxData is ranked #13 with an average rating of 8.2, while PICO is ranked #70. InfluxData holds a 0.5% mindshare in NMS, compared to PICO’s 0.5% mindshare. Additionally, 100% of InfluxData users are willing to recommend the solution, compared to 100% of PICO users who would recommend it.

InfluxDB

Read 20 InfluxDB reviews

6,493 Views
1,818 Comparison Views

100% willing to recommend

Pico Corvil Analytics

Read 9 Pico Corvil Analytics reviews

3,024 Views
2,782 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: June 2026).

Buyer's Guide

InfluxDB vs. Pico Corvil Analytics

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

InfluxDB

Ranking in Network Monitoring Software

13th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Non-Relational Databases (1st), Open Source Databases (7th), IT Infrastructure Monitoring (14th), NoSQL Databases (6th)

Pico Corvil Analytics

Ranking in Network Monitoring Software

70th

Average Rating

9.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

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

Network Monitoring Software Mindshare Distribution
Product	Mindshare (%)
InfluxDB	0.5%
Pico Corvil Analytics	0.5%
Other	99.0%

Network Monitoring Software

Featured Reviews

Mugeesh Husain

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.

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

"The most valuable features are aggregating the data and integration with Graphana for monitoring."

"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."

"As a time series database, it is very powerful and lightweight, and it can deal with heavy workloads very easily."

"InfluxDB has played a key role in enhancing system reliability and supporting our goal of delivering a seamless, high-quality product."

"My advice for others looking into using InfluxDB is to use it the same way I did, because it is really stable, easy and friendly to use, and it is a great product overall."

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

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

"InfluxDB positively impacts my organization because I have optimized my database storage, and by using powerful queries, I am able to find my data logs efficiently and also manage logging."

More InfluxDB pros

"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."

"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."

"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."

"In terms of what it does, I'd give Corvil a ten out of ten; I've never seen a tool like it."

"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."

"Corvil is really useful, if you want to produce statistics for your application across different platforms then I would definitely recommend it."

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

"My advice is "Go for it." It's an amazing product."

More Pico Corvil Analytics pros

Cons

"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 solution doesn't have much of a user interface."

"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."

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

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

"However, I do wish the documentation and community resources around Flux were more extensive and beginner-friendly."

"InfluxDB can be improved by addressing issues such as performance drops, queries being more difficult to understand, and its high memory usage."

"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."

More InfluxDB cons

"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."

"It is perceived as an expensive option, even in the financial services sector."

"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."

"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."

"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."

"Corvil is pretty stable. We just have too much data going into the boxes. Because of that, it requires more maintenance than average."

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

"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."

More Pico Corvil Analytics cons

Pricing and Cost Advice

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

"The tool is an open-source product."

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

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

"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."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Manufacturing Company

10%

Comms Service Provider

Construction Company

Financial Services Firm

34%

Computer Software Company

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	9

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

Questions from the Community

What needs improvement with InfluxDB?

If the dashboarding facility can be improved in terms of the visualization parameters and the amount of support available from the community, as well as having smarter alerts to send those alerts t...

See all answers

What is your primary use case for InfluxDB?

My main use case for InfluxDB is to inject all my performance data and visualize it as a data source into Grafana. My data comes from JMeter from a plugin, which is inserting data to InfluxDB, and ...

See all answers

What advice do you have for others considering InfluxDB?

It is good to start with InfluxDB to stabilize your data, visualize your data, and have the data stored on a time-series basis. I would recommend everyone to get into InfluxDB and start using it. T...

See all answers

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Product Reports

Buyer's Guide

InfluxDB

June 2026

Download InfluxDB product report

Buyer's Guide

Pico Corvil Analytics

June 2026

Download Pico Corvil Analytics product report

Also Known As

No data available

Corvil

Overview

InfluxDB offers efficient time series data handling with fast writes, optimized storage, and seamless Grafana integration, making it ideal for high-volume applications like crypto trading and real-time monitoring. Its SQL-like query language and cloud-based options enhance user experience and system scalability.

InfluxDB stands out with its ability to handle high-volume time series data efficiently, thanks to fast data writes and efficient compression. It is highly scalable, providing clustering features for improved performance management. Integration with Grafana enhances visualization, making it easier to analyze complex data through a user-friendly SQL-like query language. Real-time monitoring, historical data access, and proactive alerts enhance system reliability. Its cloud offering simplifies maintenance and operations, making it attractive for users seeking an efficient time series database.

What are the key features of InfluxDB?

Fast Data Writes: Ensures quick data handling necessary for real-time applications.
Optimized Storage: Reduces space requirements and improves performance.
Efficient Compression: Supports high-volume data like time series, enhancing throughput.
Grafana Integration: Supports seamless visualization and analysis of data.
SQL-like Query Language: Simplifies complex data operations with user-friendly queries.

What benefits or ROI can users expect?

Enhanced Performance: Fast processing and optimized storage for better application responsiveness.
Scalability: Clustering features ensure adaptability to growing data volumes.
Improved Reliability: Proactive alerts and real-time monitoring prevent system downtimes.
Ease of Use: SQL-like language and intuitive visuals improve user accessibility.

InfluxDB is applied extensively in industries handling high-volume data needs. For sensor data storage in production environments, it offers reliable performance. Its role in server management metrics and performance monitoring is crucial for maintaining optimal operations. In crypto market data collection, it supports fast-paced trading environments. Industries use it for real-time tracking, like maritime vessel monitoring, leveraging its rapid data handling and visualization capabilities. Its applications also extend to IoT environments, API performance tracking, HVAC systems, and log aggregation, often integrating with Prometheus, Docker, and AWS to enhance system capabilities.

InfluxData

Pico Corvil Analytics offers advanced capabilities in latency measurement, data analysis, and real-time packet decoding. Its intuitive dashboards and comprehensive analytics support latency management and customizable metrics, enhancing performance monitoring and infrastructure optimization.

Designed to assist in latency monitoring and benchmarking, Pico Corvil Analytics is essential for tracking server and exchange latency, client connectivity, electronic trading environments, and order flows. It provides features like real-time analytics, custom dashboards, and anomaly detection, aiding in transaction scrutiny and market activity predictions. Users note the depth of analytics features, although there is a desire for iHub functionality within the app, simpler configurations, and more intuitive performance analytics and reporting.

What are the core features of Pico Corvil Analytics?

Latency Measurement: Precision tracking for server and exchange latency.
Data Analysis: Granular insights for enhanced trading efficiency.
Real-Time Packet Decoding: Immediate packet analysis for troubleshooting.
Visualization: Advanced dashboards enhancing data communication.
Intelligent Alerts: Proactive performance monitoring and collaborations.

What benefits can users expect from Pico Corvil Analytics?

Enhanced Trading Efficiency: Drives strategic upgrades and operational improvements.
Nuanced Network Analysis: Empowers detailed troubleshooting and network management.
Performance Monitoring: Aids infrastructure optimization through informed decisions.

Pico Corvil Analytics is widely implemented in industries requiring high-performance trading infrastructures, such as financial services and electronic trading environments. It supports users in predicting market activities and ensuring reliable, efficient trade execution. Custom dashboards and real-time analysis provide a competitive edge in these high-stakes arenas.

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

June 2026

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