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 9.0, while PICO is ranked #74. InfluxData holds a 0.4% mindshare in NMS, compared to PICO’s 0.4% mindshare. Additionally, 100% of InfluxData users are willing to recommend the solution, compared to 100% of PICO users who would recommend it.

InfluxDB

Read 11 InfluxDB reviews

3,125 Views
469 Comparison Views

100% willing to recommend

Pico Corvil Analytics

Read 9 Pico Corvil Analytics reviews

1,134 Views
975 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: July 2025).

Buyer's Guide

InfluxDB vs. Pico Corvil Analytics

July 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

6.6

Number of Reviews

Ranking in other categories

Non-Relational Databases (2nd), Open Source Databases (9th), IT Infrastructure Monitoring (24th), NoSQL Databases (3rd)

Pico Corvil Analytics

Ranking in Network Monitoring Software

74th

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 2025, in the Network Monitoring Software category, the mindshare of InfluxDB is 0.4%, up from 0.3% compared to the previous year. The mindshare of Pico Corvil Analytics is 0.4%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Network Monitoring Software

Featured Reviews

DeepakR

Site Reliability Engineer(Observability) at Sapiens

An open-source database that can be used to insert data

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.

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."

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

"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'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."

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

"The solution is very powerful."

"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 feature of the solution is we can use InfluxDB to integrate with and plug into any other tools."

More InfluxDB 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."

"With the Corvil Stored Data Analyzer module, we can use it for test data or a set of production data to set up the configuration for latency setup, so we can use the fields to correlate messages."

"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."

"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."

"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."

"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."

More Pico Corvil Analytics pros

Cons

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

"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."

"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."

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

"InfluxDB cannot be used for high-cardinality data. It's also difficult and time-consuming to write queries, and there are some issues with bulk API."

"The error logging capability can be improved because the logs are not very informative."

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

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."

"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."

"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."

"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."

"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."

"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."

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

More Pico Corvil Analytics cons

Pricing and Cost Advice

"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."

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

"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."

"It is pricey versus its competitors."

"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."

"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."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

12%

Manufacturing Company

Comms Service Provider

Financial Services Firm

56%

Computer Software Company

11%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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?

It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster. Replicating data for on-prem development and testing is difficult. Having a SQL abstrac...

See all answers

What is your primary use case for InfluxDB?

InfluxDB is the main component in our large enterprise-scale streaming data application for maritime vessels. We collect position data from vessels around the coast once per second, put it on a Kaf...

See all answers

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Product Reports

Buyer's Guide

InfluxDB

July 2025

Download InfluxDB product report

Buyer's Guide

Pico Corvil Analytics

June 2025

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

July 2025

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