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Evanios vs InfluxDB comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 9, 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

Evanios
Ranking in IT Infrastructure Monitoring
66th
Average Rating
9.6
Reviews Sentiment
7.5
Number of Reviews
6
Ranking in other categories
Event Monitoring (17th), IT Operations Analytics (20th)
InfluxDB
Ranking in IT Infrastructure Monitoring
26th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
12
Ranking in other categories
Non-Relational Databases (2nd), Open Source Databases (9th), Network Monitoring Software (27th), NoSQL Databases (5th)
 

Mindshare comparison

As of October 2025, in the IT Infrastructure Monitoring category, the mindshare of Evanios is 0.2%, up from 0.2% compared to the previous year. The mindshare of InfluxDB is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Market Share Distribution
ProductMarket Share (%)
InfluxDB0.6%
Evanios0.2%
Other99.2%
IT Infrastructure Monitoring
 

Featured Reviews

DM
Customizable solution that provides the ability to ingest alerts from different systems
The price could be cheaper. That was one reason why we switched to PagerDuty. We wanted to switch to something that provided the same features but at a lower cost. We also switched because PagerDuty provided other features like integration with ServiceNow and the scheduling of engineers. Evanios was only for event integration. Evanios created too much noise. For every alert, it would create an incident. We received too many alerts and incidents from monitoring. It wasn't able to intelligently ingest alerts. It created 4,000 incident tickets in a month, which didn't reflect what was happening. If we received an alert, the synthetic monitoring and volume drop would give us the same alert. Evanios should include alert ingestion and de-duplication of alerts and noise reduction. We couldn't have people resolving each and every incident. PagerDuty gives us reports on how many alerts are being ingested, how many are noise, how many have bigger incidents, and which of the alerts are creating noise. It would be helpful if Evanios had metrics on the amount of alerts and types of the alerts to show which ones were serious incidents and which ones were just noise.
DeepakR - PeerSpot reviewer
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.

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 is the integration with various alert-generating systems because you might have synthetic alerts or monitoring alerts for volume drops."
"Provided up to a 90% noise reduction in some our noisy monitoring tools."
"The ability to manipulate events via JavaScript getting the exact data that we want."
"The most valuable feature of the solution is we can use InfluxDB to integrate with and plug into any other tools."
"InfluxDB works as expected with excellent scalability and stability, which is critical for our application."
"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."
"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 platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with 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."
"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."
"The most valuable features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."
 

Cons

"The price could be cheaper."
"More complex correlation rules would be nice. The ability to clearly define a parent event in a correlation and nested correlations, specifically."
"We would like the ability to have an "exit" option for events when they are being processed."
"The solution's UI can be more user-friendly."
"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."
"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."
"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."
"The solution doesn't have much of a user interface."
"The error logging capability can be improved because the logs are not very informative."
 

Pricing and Cost Advice

Information not available
"InfluxDB recently increased its price. It is very expensive now."
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
11%
Computer Software Company
10%
University
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise3
Large Enterprise6
 

Questions from the Community

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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?
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...
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...
 

Comparisons

No data available
 

Overview

 

Sample Customers

Greenville Health System, Land O’Lakes, AstraZeneca
ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo
Find out what your peers are saying about Evanios vs. InfluxDB and other solutions. Updated: September 2025.
869,760 professionals have used our research since 2012.