InfluxDB vs Loom Systems comparison

InfluxData and ServiceNow are both solutions in the IT Infrastructure Monitoring category. InfluxData is ranked #21 with an average rating of 8.9, while ServiceNow is ranked #60. InfluxData holds a 0.5% mindshare in IM, compared to ServiceNow’s 0.6% mindshare. Additionally, 100% of InfluxData users are willing to recommend the solution, compared to 80% of ServiceNow users who would recommend it.

InfluxDB

Read 15 InfluxDB reviews

3,182 Views
668 Comparison Views

100% willing to recommend

Loom Systems

Read 4 Loom Systems reviews

739 Views
562 Comparison Views

80% willing to recommend

InfluxDB

Loom Systems

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Executive SummaryUpdated on Oct 9, 2024

InfluxDB and Loom Systems compete in data management and analytics. InfluxDB leads in scalability and real-time processing, while Loom Systems offers advanced AI-driven insights, potentially justifying its higher cost.

Features: InfluxDB offers excellent time-series data storage, robust scalability, and strong real-time analytics integrations. Loom Systems provides automatic anomaly detection, predictive analysis, and deep AI analytics.

Room for Improvement: InfluxDB could enhance its AI capabilities, offer better predictive analytics, and integrate more deeply with non-time-series data. Loom Systems might improve cost-effectiveness, broaden data storage options, and offer more flexible deployment environments.

Ease of Deployment and Customer Service: Loom Systems features simple deployment with AI assistance and receives positive customer service feedback. InfluxDB enables flexible deployment across environments, ensuring a seamless process while maintaining commendable customer support.

Pricing and ROI: InfluxDB is cost-effective, providing competitive pricing and reliable ROI through its efficient architecture. Loom Systems, higher-priced, delivers value with its advanced analytics, appealing to businesses prioritizing AI-driven ROI.

To learn more, read our detailed InfluxDB vs. Loom Systems Report (Updated: January 2026).

Buyer's Guide

InfluxDB vs. Loom Systems

January 2026

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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 IT Infrastructure Monitoring

21st

Average Rating

8.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Non-Relational Databases (2nd), Open Source Databases (8th), Network Monitoring Software (23rd), NoSQL Databases (6th)

Loom Systems

Ranking in IT Infrastructure Monitoring

60th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (4th)

Mindshare comparison

As of January 2026, in the IT Infrastructure Monitoring category, the mindshare of InfluxDB is 0.5%, up from 0.5% compared to the previous year. The mindshare of Loom Systems is 0.6%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring Market Share Distribution
Product	Market Share (%)
InfluxDB	0.5%
Loom Systems	0.6%
Other	98.9%

IT Infrastructure Monitoring

Featured Reviews

Henning Jansen

Senior System Developer at Norled

Tracking vessel movements seamlessly with continuous data collection and query execution

We mainly write and read data from InfluxDB. We perform very simple queries to do time series on a key, which is a unique ID of the vessel. We will select a vessel and select from time to time stamp. That’s what we do. InfluxDB’s core functionality is crucial as it allows us to store our data and execute queries with excellent response times.

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Keerthi Kumar Sangaraju

Technology Manager at a tech services company with 10,001+ employees

Stable, easy to set up, flexible, and has multiple functionalities, but needs to define priority levels for each incident

What's lacking in Loom Systems is the level of priority for each incident. For example, after implementation and there was a huge impact on the client, and the client comes back to you and says that there's an incident, that there needs to be an immediate resolution for it, you'll see severity one, severity two, etc., in Loom Systems, rather than priority levels. It would be better if the incidents can be defined as low priority, medium priority, or high priority.

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

"My advice for others looking into using InfluxDB is to use it the same way I did, because it is really stable, easy and friendly to use, and it is a great product overall."

"The most valuable features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."

"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."

"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 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 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."

"The solution is very powerful."

"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."

More InfluxDB pros

"You can develop your own apps within Loom, and they can be configured very simply."

"The solution is absolutely scalable. If an organization needs to expand it out they definitely can."

"The RFS portion of the solution is the product's most valuable feature."

"What I like best about Loom Systems is that you can use it for infrastructure monitoring. I also like that it's a flexible solution."

Cons

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

"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."

"The solution doesn't have much of a user interface."

"The solution's UI can be more user-friendly."

"The interface of InfluxDB is so complex and should be made easier for non-technical people."

"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."

More InfluxDB cons

"The discovery and mapping still takes a lot of human intervention, it's quite resource heavy,"

"The reporting is a bit weak. They should work to improve this aspect of the product."

"What's lacking in Loom Systems is the level of priority for each incident. For example, after implementation and there was a huge impact on the client, and the client comes back to you and says that there's an incident, that there needs to be an immediate resolution for it, you'll see severity one, severity two, etc., in Loom Systems, rather than priority levels. It would be better if the incidents can be defined as low priority, medium priority, or high priority."

"The change management within the solution needs to be improved. There needs to be more process automation."

Pricing and Cost Advice

"InfluxDB is open-source, but there are additional costs for scaling."

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

"The tool is an open-source product."

"We are using the open-source version of InfluxDB."

Information not available

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Top Industries

By visitors reading reviews

Manufacturing Company

10%

Financial Services Firm

10%

Computer Software Company

University

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	3
Large Enterprise	8

No data available

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?

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...

See all answers

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...

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Product Reports

Buyer's Guide

InfluxDB

January 2026

Download InfluxDB product report

Buyer's Guide

IT Infrastructure Monitoring

December 2025

Download Loom Systems product report

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

Loom Systems delivers an advanced AI-powered operational analytics platform to predict and prevent problems in the digital business. DevOps & IT teams use Loom for real-time detection and resolution for any type of application, including home-grown. Loom analyzes logs and metrics in all formats, performs smart correlations and root cause analysis to help organizations gain immediate into their environments. Loom stands alone in the industry as an AI platform requiring no prior math knowledge from its operators, leveraging your existing staff to succeed in the digital era. Getting started is easy - zero configuration and data pre-processing needed, so you can stream your data in its raw format.

ServiceNow

Sample Customers

ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo

Citrix, Amdocs, Sysaid, Hexaware, Effibar, Revtrak, Taptica

Buyer's Guide

InfluxDB vs. Loom Systems

January 2026

Free Report: InfluxDB vs. Loom Systems

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