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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
65th
Average Rating
9.6
Reviews Sentiment
7.5
Number of Reviews
6
Ranking in other categories
Event Monitoring (17th), IT Operations Analytics (18th)
InfluxDB
Ranking in IT Infrastructure Monitoring
24th
Average Rating
8.2
Reviews Sentiment
6.6
Number of Reviews
11
Ranking in other categories
Non-Relational Databases (2nd), Open Source Databases (9th), Network Monitoring Software (23rd), NoSQL Databases (3rd)
 

Mindshare comparison

As of July 2025, in the IT Infrastructure Monitoring category, the mindshare of Evanios is 0.2%, up from 0.1% compared to the previous year. The mindshare of InfluxDB is 0.6%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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

"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 is the integration with various alert-generating systems because you might have synthetic alerts or monitoring alerts for volume drops."
"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."
"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 works as expected with excellent scalability and stability, which is critical for our application."
"The user interface is well-designed and easy to use. It provides a clear overview of the data, making it simple to understand the information at hand."
"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana."
"The most valuable feature of the solution is we can use InfluxDB to integrate with and plug into any other tools."
"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."
"InfluxDB works as expected with excellent scalability and stability, which is critical for our application."
 

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."
"In terms of features that I would like to see or have, in the community version, some features are not available. I would like to have clustering and authentication in the community version."
"One area for improvement is the querying language. InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying."
"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."
"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."
"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."
"The solution's UI can be more user-friendly."
"The error logging capability can be improved because the logs are not very informative."
"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."
 

Pricing and Cost Advice

Information not available
"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."
"InfluxDB is open-source, but there are additional costs for scaling."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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: July 2025.
861,803 professionals have used our research since 2012.