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Gremlin Reliability Management Platform vs InfluxDB comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
8.1
Gremlin Platform users see ROI from 30% fewer issues, reduced testing staff, and less stressful, predictable weekends.
Sentiment score
6.1
InfluxDB improved operational efficiency by automating monitoring, reducing incident detection time, and reallocating analytics resources to higher-value tasks.
We are seeing a return on investment from using Gremlin Reliability Management Platform because we are getting less production issues by thirty percent, as I mentioned earlier, making it a great investment.
DEVOPS specialist at a media company with 10,001+ employees
We do not need to look at all the day's metrics on Grafana dashboards; we run our chaos experiments in a production environment to see how reliable our product or service is.
DevOps & Mlops Engineer at a printing company with 1-10 employees
If we needed ten people to do tests once upon a time, now, using Gremlin Reliability Management Platform, we can do it with a fifty percent reduction in employees.
Senior Software Engineer at a sports company with 10,001+ employees
These improvements translated into both cost savings and better service reliability, directly impacting business outcomes.
Senior Data Engineer at a university with 201-500 employees
It simplifies processes and reduces the need for additional employees.
Team Lead, Software at Energybox
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.
Student at a educational organization with 1,001-5,000 employees
 

Customer Service

Sentiment score
8.5
Gremlin offers reliable customer service with effective Zoom support, good documentation, and high user ratings for prompt assistance.
Sentiment score
6.2
Users find forums helpful, but premium support could improve follow-up; enterprise users appreciate expert support despite data challenges.
When I have questions or run into issues with Gremlin Reliability Management Platform, their support team is helpful and responsive.
DevOps & Mlops Engineer at a printing company with 1-10 employees
The customer support for Gremlin Reliability Management Platform is good overall.
DEVOPS specialist at a media company with 10,001+ employees
They get on a call, resolve issues, and handle everything efficiently.
DevOps Engineer at Elevenxcapital
The InfluxDB support team was knowledgeable and helped us troubleshoot complex problems efficiently.
Senior Data Engineer at a university with 201-500 employees
Obtaining that quantity of data directly from InfluxDB is quite challenging, and that is why we ask for help from the InfluxDB team to retrieve the data to avoid timeouts and those kinds of issues.
Team Lead, Software at Energybox
 

Scalability Issues

Sentiment score
7.9
Gremlin Reliability Management Platform excels in scalability and adaptability, seamlessly supporting chaos experiments across diverse infrastructures like AWS.
Sentiment score
7.3
InfluxDB offers robust scalability for enterprise needs, effectively managing large data volumes and diverse environments with efficient performance.
Gremlin Reliability Management Platform scales smoothly for running more chaos experiments, adding more services, or supporting a larger team.
DevOps & Mlops Engineer at a printing company with 1-10 employees
More than scalability, I thought about availability because it is a really important thing of the architecture tools.
Dev Ops To Development (IT)
The scalability of Gremlin Reliability Management Platform depends on the scalability of the underlying infrastructure that we are hosting it on.
Senior Software Engineer at a sports company with 10,001+ employees
The main challenge with InfluxDB, which is common with all databases, was handling very high throughput systems and high throughput message flow.
Deployment Engineer at Derq
It can handle large volumes of time-series data and with high ingestion rates, making it suitable for enterprise-scale deployments.
Senior Data Engineer at a university with 201-500 employees
We’ve scaled on volume with seven years of continuous data without performance degradation.
Senior System Developer at Norled
 

Stability Issues

Sentiment score
9.2
Gremlin Reliability Management Platform is praised for its high stability, consistent performance, and dependable availability without downtime.
Sentiment score
8.0
InfluxDB is reliable and stable, though managing on-premises in non-cloud regions adds complexity; offers 99% uptime.
I have not seen any downtime or issues with its behavior or performance.
Senior Software Engineer at a sports company with 10,001+ employees
It serves as the backbone of our application, and its stability is crucial.
Senior System Developer at Norled
We have used it to support mission-critical systems with continuous data ingestion and real-time analytics.
Senior Data Engineer at a university with 201-500 employees
It is very stable, with no reliability or downtime in InfluxDB.
Student at a educational organization with 1,001-5,000 employees
 

Room For Improvement

Enhancing Gremlin with AWS, GCP, machine learning integration and resources can improve usability, despite high cost and complexity.
InfluxDB's user experience needs improvement in interface, scalability, and security; enhancements in integration and advanced features are crucial.
I think it would be useful to have some integration with Splunk or other log collectors, or maybe in the future, the ability to link Dynatrace or any other observability platform.
Dev Ops To Development (IT)
If we can integrate it with natural language, could we talk to Gremlin Reliability Management Platform and have it configure some of the basic settings so that non-technical persons can also work on Gremlin Reliability Management Platform-like tools?
DEVOPS specialist at a media company with 10,001+ employees
The user interface is great, the integration is smooth, and Gremlin Reliability Management Platform has a fantastic support team that helps us a lot in many cases.
DevOps & Mlops Engineer at a printing company with 1-10 employees
InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying.
Chief Technology Officer at Presta Agency
Having a SQL abstraction in InfluxDB could be beneficial, making it more accessible for teams that prefer querying with SQL-style syntax.
Senior System Developer at Norled
It could include automated backup and a monitoring solution for InfluxDB or a script developed by a REST API.
Network engineer at a energy/utilities company with 10,001+ employees
 

Setup Cost

InfluxDB's flexible pricing demands strategic planning to balance server needs and costs for both cloud and on-premises solutions.
It is not so cheap, but it has very powerful features.
Dev Ops To Development (IT)
My role does not incur costs for us since we have an NFR for Gremlin Reliability Management Platform that we can use in our case.
DevOps & Mlops Engineer at a printing company with 1-10 employees
We use the open-source version of InfluxDB, so it is free.
Senior System Developer at Norled
I find the cloud version pricing of InfluxDB reasonable, and for the on-premises solution we use in our service, we need to purchase licenses.
Team Lead, Software at Energybox
Pricing is based on data volume, retention, and features, which really makes it scalable but requires careful planning to avoid unexpected costs.
Senior Data Engineer at a university with 201-500 employees
 

Valuable Features

Gremlin Reliability Management Platform enhances system performance with prebuilt tests, automated scheduling, and a user-friendly dashboard for improved uptime.
InfluxDB offers robust time-series features, seamless Grafana integration, real-time alerting, scalability, and efficient data handling for diverse applications.
There are really two pathways along: fewer incidents because with Gremlin Reliability Management Platform, we can make every part of the infrastructure more solid, and less downtime because we can test more architectures and then things like how to put in high availability clusters.
Dev Ops To Development (IT)
The best feature that Gremlin Reliability Management Platform offers for me is the prebuilt reliability test; I think that is the best feature along with the automated scheduling.
DEVOPS specialist at a media company with 10,001+ employees
One of my best features of Gremlin Reliability Management Platform is the built-in chaos experiments, which gives you the reliability score of your service.
DevOps & Mlops Engineer at a printing company with 1-10 employees
The most important feature for us is low latency, which is crucial in building a high-performance engine for day trading.
Chief Technology Officer at Presta Agency
InfluxDB’s core functionality is crucial as it allows us to store our data and execute queries with excellent response times.
Senior System Developer at Norled
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.
Solutions Engineer at a tech vendor with 51-200 employees
 

Categories and Ranking

Gremlin Reliability Managem...
Ranking in IT Infrastructure Monitoring
53rd
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Application Performance Monitoring (APM) and Observability (54th), DevSecOps (15th)
InfluxDB
Ranking in IT Infrastructure Monitoring
16th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
19
Ranking in other categories
Non-Relational Databases (1st), Open Source Databases (7th), Network Monitoring Software (12th), NoSQL Databases (6th)
 

Mindshare comparison

As of March 2026, in the IT Infrastructure Monitoring category, the mindshare of Gremlin Reliability Management Platform is 0.1%. The mindshare of InfluxDB is 0.5%, down from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Mindshare Distribution
ProductMindshare (%)
InfluxDB0.5%
Gremlin Reliability Management Platform0.1%
Other99.4%
IT Infrastructure Monitoring
 

Featured Reviews

VL
Senior Software Engineer at a sports company with 10,001+ employees
Chaos experiments have revealed weak points and now provide controlled cost-saving tests
The best features of Gremlin Reliability Management Platform are the safe failure injection, which is crucial as we can simulate the failures in a manner that we know these are just dumping tests and not the actual issues. Whether it is the CPU spike or the memory exhaustion, or the network latency, or the server shutdown, server shutdown is one of the most favorite features that I have in Gremlin Reliability Management Platform. The controlled blast radius is another standout feature. The controlled blast radius feature has helped my team in that we actually wanted to target only one specific container, our Docker containers that we deployed. It helped us to conduct tests in a very specific, isolated manner instead of launching a larger test or focusing on hundreds of servers at a time, resulting in very limited impact. Since ours is a very small team, we do not want to impact other servers. This controlled blast radius helped us to only focus on our servers and not impact any other team. Gremlin Reliability Management Platform has positively impacted my organization because before Gremlin Reliability Management Platform, we did not even know how to conduct these chaos engineering tests. We heard about it, but we had no idea of how to do something of that nature. If there are ten servers, ten systems in our architecture and if suddenly something goes down, nobody knew what would happen next. We did not even know how to simulate these types of tests. This lack of confidence has been mitigated by using Gremlin Reliability Management Platform. Now we can confidently test and see which system is the most critical. If this goes down, what happens? How much business valuation are we going to impact? How much loss are we going to incur? All of this is now clearly visible and transparent. Since using Gremlin Reliability Management Platform, we were able to reduce the incidents by six percent after conducting our limited experiments. We were also able to increase the uptime from ninety-eight to ninety-nine, which represents a one percent increase in uptime.
Mugeesh Husain - PeerSpot reviewer
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.
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Top Industries

By visitors reading reviews
Sports Company
12%
Printing Company
12%
Construction Company
9%
Media Company
6%
Manufacturing Company
11%
Financial Services Firm
9%
Comms Service Provider
9%
University
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise4
Large Enterprise8
 

Questions from the Community

What needs improvement with Gremlin Reliability Management Platform?
I think that it will be important to have resources to perform self-directed studies on Gremlin Reliability Management Platform as an improvement. There is a small and fast and simple certification...
What is your primary use case for Gremlin Reliability Management Platform?
My main use case for Gremlin Reliability Management Platform is chaos testing. I take my infrastructure and then I sabotage some things to see how they reach the goal. I try network or infrastructu...
What advice do you have for others considering Gremlin Reliability Management Platform?
The main advice I would give to others looking into using Gremlin Reliability Management Platform would be to study it. Do not be shy to fail. Test everything and do lab architectures to test. It i...
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?
InfluxDB can be improved in several ways. The Flux query language needs to be learned, but if there were something similar to SQL or previous options, it would be much easier for users without impo...
What is your primary use case for InfluxDB?
My main use case for InfluxDB is for server management metrics, Kubernetes monitoring, and application performance monitoring due to the time series data involved. We have InfluxDB integrated with ...
 

Comparisons

No data available
 

Overview

 

Sample Customers

Information Not Available
ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo
Find out what your peers are saying about Gremlin Reliability Management Platform vs. InfluxDB and other solutions. Updated: March 2026.
885,311 professionals have used our research since 2012.