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InfluxDB vs Kaseya Traverse 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
23rd
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
17
Ranking in other categories
Non-Relational Databases (2nd), Open Source Databases (8th), IT Infrastructure Monitoring (21st), NoSQL Databases (6th)
Kaseya Traverse
Ranking in Network Monitoring Software
58th
Average Rating
6.6
Reviews Sentiment
6.5
Number of Reviews
8
Ranking in other categories
Cloud Monitoring Software (35th)
 

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 Kaseya Traverse is 0.5%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Monitoring Software Market Share Distribution
ProductMarket Share (%)
InfluxDB0.3%
Kaseya Traverse0.5%
Other99.2%
Network Monitoring Software
 

Featured Reviews

Mugeesh Husain - PeerSpot reviewer
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.
AMMAR HUMAIDY HUSIN - PeerSpot reviewer
Technical Consultant at a university with 11-50 employees
Automation increases efficiency, but pricing needs to be more competitive
Improvement is needed in making it cheaper, of course. I am not emphasizing making it cheaper, however, it should be more competitive with other products. The product itself is very good and helpful for me as a customer. The issue always is the price, as we cannot beat most of our competitors on pricing alone. If a product is just nice to have, not essential like an antivirus, if it's not really competitive with pricing, we cannot sell it.

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."
"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."
"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 are aggregating the data and integration with Graphana for monitoring."
"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 of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."
"Overall, InfluxDB delivered excellent performance, stability, and simplicity for telemetry-driven use cases."
"The solution is very powerful."
"If I want to automate the management and maintenance of my server automatically, this product is a good use case for that."
"Automating processes is crucial for me, so the automation part stands out."
"It is a pretty stable solution...It is a pretty stable solution."
"We have found the solution to be very flexible to our requirements. We have been able to configure it on-premise effectively when we were using less of the cloud."
"Most of the features are pretty good and the solution is user friendly."
"Everything is running seamlessly on the solution, to the point where you don't see any gap."
"It's a simple and humble tool."
"Kaseya Traverse is a very stable solution and very sustainable in terms of what the market wants, what is out there, price-wise and functionality features. They're quite competitive and they are always innovating."
 

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."
"One area for improvement is the querying language. InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying."
"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."
"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."
"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 interface of InfluxDB is so complex and should be made easier for non-technical people."
"Reporting is tedious and not organized in the way customers expect."
"The tool needs to have some AI capabilities, which it lacks currently."
"We've noticed a few bugs as of late. However, this seems to only be in the reporting part of the product."
"Kaseya Traverse can improve by adding a Service Map to help us create a configuration management database (CMDB), this would be helpful for us."
"However, the issue lies in the adequacy of the responses to my questions, which are usually not up to par."
"Improvement is needed in making it cheaper."
"In terms of what could be improved, we are innovating all the time, as well as having a look at different avenues so that the strategy follows the structure. I think the software is still a little bit too new to actually fully asses what it has."
"Dashboards and Central Protection were an issue. Also, database monitoring was not there. Even though they said that it was there at an additional cost, that tool was very basic. We couldn't have device configuration backup also."
 

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."
"The solution is not cheap, but it is not too expensive."
"The price depends on whether you are monitoring different applications, especially in bulk, and depends on what you're doing. If you're monitoring one endpoint, it will cost you 150 ZAR."
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Top Industries

By visitors reading reviews
Manufacturing Company
10%
Financial Services Firm
9%
Computer Software Company
9%
University
9%
Computer Software Company
15%
Financial Services Firm
8%
Manufacturing Company
7%
Non Profit
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise3
Large Enterprise8
By reviewers
Company SizeCount
Small Business1
Large Enterprise7
 

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?
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...
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...
What do you like most about Kaseya Traverse?
The remote support and data collection features are great.
What is your experience regarding pricing and costs for Kaseya Traverse?
The solution is not cheap, but it is not too expensive. We pay an annual license fee. There are no additional fees associated with the product.
What needs improvement with Kaseya Traverse?
Improvement is needed in making it cheaper, of course. I am not emphasizing making it cheaper, however, it should be more competitive with other products. The product itself is very good and helpfu...
 

Overview

 

Sample Customers

ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo
UltiSat, Clear Concepts, nVidia, United States Postal Service, Cisco, Redbox, Spark Digital, People's Bank & Trust
Find out what your peers are saying about InfluxDB vs. Kaseya Traverse and other solutions. Updated: December 2025.
881,176 professionals have used our research since 2012.