InfluxDB vs Loom Systems comparison

InfluxData and ServiceNow are both solutions in the IT Infrastructure Monitoring category. InfluxData is ranked #14 with an average rating of 8.3, while ServiceNow is ranked #64. InfluxData holds a 0.6% mindshare in IM, compared to ServiceNow’s 0.5% mindshare. Additionally, 100% of InfluxData users are willing to recommend the solution, compared to 80% of ServiceNow users who would recommend it.

InfluxDB

Read 20 InfluxDB reviews

5,305 Views
1,432 Comparison Views

100% willing to recommend

Loom Systems

Read 4 Loom Systems reviews

1,301 Views
1,106 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: April 2026).

Buyer's Guide

InfluxDB vs. Loom Systems

April 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

14th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Non-Relational Databases (1st), Open Source Databases (7th), Network Monitoring Software (13th), NoSQL Databases (6th)

Loom Systems

Ranking in IT Infrastructure Monitoring

64th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (5th)

Mindshare comparison

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

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

IT Infrastructure Monitoring

Featured Reviews

Mugeesh Husain

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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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.

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Quotes from Members

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

Pros

"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana."

"I recommend going with the cloud version of InfluxDB, as it's very cheap and effective."

"InfluxDB works as expected with excellent scalability and stability, which is critical for our application."

"This product has been working well and it is serving our purpose, so I can recommend it to others."

"The solution is very powerful."

"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."

"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 solution is very powerful."

More InfluxDB pros

"The solution is absolutely scalable."

"The solution is very scalable; a company wouldn't have any issues expanding it if they needed to, and we have a few thousand users on the solution."

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

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

"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."

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

"Bringing Loom in ensures that the incident process, request process, change, all of these processes are improved."

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

Cons

"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 imposing a learning curve."

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

"However, I do wish the documentation and community resources around Flux were more extensive and beginner-friendly."

"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."

"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."

"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."

"One area for improvement is the querying language. InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying."

More InfluxDB cons

"What's lacking in Loom Systems is the level of priority for each incident."

"The reporting is a bit weak."

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

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

"The discovery and mapping still takes a lot of human intervention, it's quite resource heavy, especially in the initial setup which can take six months of work, especially when you have a large estate that you're dealing with."

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

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

"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."

Pricing and Cost Advice

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

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

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

"The tool is an open-source product."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Comms Service Provider

10%

Manufacturing Company

10%

University

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	8

No data available

Questions from the Community

What needs improvement with InfluxDB?

InfluxDB can be improved by addressing issues such as performance drops, queries being more difficult to understand, and its high memory usage. InfluxDB is not suitable for relational databases lik...

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What is your primary use case for InfluxDB?

My main use case for InfluxDB is storing a time series database and analyzing data changes over time. I use InfluxDB to store my infrastructure and application metrics, logs, events, and data, and ...

See all answers

What advice do you have for others considering InfluxDB?

I would advise others looking into using InfluxDB that if they want to store a time series database for monitoring, logging, and event-based tasks, and also want long-term retention of the database...

See all answers

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Product Reports

Buyer's Guide

InfluxDB

May 2026

Download InfluxDB product report

Buyer's Guide

IT Infrastructure Monitoring

April 2026

Download Loom Systems product report

Overview

InfluxDB offers efficient time series data handling with fast writes, optimized storage, and seamless Grafana integration, making it ideal for high-volume applications like crypto trading and real-time monitoring. Its SQL-like query language and cloud-based options enhance user experience and system scalability.

InfluxDB stands out with its ability to handle high-volume time series data efficiently, thanks to fast data writes and efficient compression. It is highly scalable, providing clustering features for improved performance management. Integration with Grafana enhances visualization, making it easier to analyze complex data through a user-friendly SQL-like query language. Real-time monitoring, historical data access, and proactive alerts enhance system reliability. Its cloud offering simplifies maintenance and operations, making it attractive for users seeking an efficient time series database.

What are the key features of InfluxDB?

Fast Data Writes: Ensures quick data handling necessary for real-time applications.
Optimized Storage: Reduces space requirements and improves performance.
Efficient Compression: Supports high-volume data like time series, enhancing throughput.
Grafana Integration: Supports seamless visualization and analysis of data.
SQL-like Query Language: Simplifies complex data operations with user-friendly queries.

What benefits or ROI can users expect?

Enhanced Performance: Fast processing and optimized storage for better application responsiveness.
Scalability: Clustering features ensure adaptability to growing data volumes.
Improved Reliability: Proactive alerts and real-time monitoring prevent system downtimes.
Ease of Use: SQL-like language and intuitive visuals improve user accessibility.

InfluxDB is applied extensively in industries handling high-volume data needs. For sensor data storage in production environments, it offers reliable performance. Its role in server management metrics and performance monitoring is crucial for maintaining optimal operations. In crypto market data collection, it supports fast-paced trading environments. Industries use it for real-time tracking, like maritime vessel monitoring, leveraging its rapid data handling and visualization capabilities. Its applications also extend to IoT environments, API performance tracking, HVAC systems, and log aggregation, often integrating with Prometheus, Docker, and AWS to enhance system capabilities.

InfluxData

Loom Systems is recognized for its flexibility in RFS and infrastructure monitoring, catering to IT service management. It aids in app creation and configuration, particularly useful for incident management and service desk operations.

Offering user-friendly functionality throughout the software development lifecycle, Loom Systems is valued for its adaptable capabilities in creating tailored implementations. While features like change and configuration management can be challenging, Loom Systems still stands out for its ease of use. Its platform, though resource-intensive initially, integrates with other tools, supporting IT challenges like automation and root cause analysis.

What are the key features of Loom Systems?

RFS Flexibility: Provides adaptable RFS options tailored to varied monitoring needs.
Infrastructure Monitoring: Allows comprehensive monitoring of IT infrastructure.
App Creation Platform: Facilitates easy development of customized applications.
Change Management: Though challenging, its management capabilities are integral.
Integration Capabilities: Supports integration with existing tools for seamless operation.

What benefits and ROI should users consider?

Enhanced IT Service Management: Facilitates efficient management of incident requests and problem resolution.
Versatile Use Cases: Supports diverse functions from asset management to security and HR modules.
Automation and Ease of Use: Simplifies deployment and migration processes while enabling automation.
Adaptable Implementations: Offers flexibility for custom solutions catering to enterprise needs.
Scalability: Suitable for medium to large enterprises with support for expansion.

In specific industries, Loom Systems is deployed predominantly for IT service management, asset management, and incident management. Medium to large enterprises use it for tasks such as implementation and automation, with additional security and HR capabilities. While smaller enterprises might consider cost, its robust features make it a preferred choice for IT tasks.

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

April 2026

Free Report: InfluxDB vs. Loom Systems

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