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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 8.2, while ServiceNow is ranked #64. InfluxData holds a 0.7% 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
  • 6,493 Views
  • 1,883 Comparison Views
100% willing to recommend
Loom Systems
Read 4 Loom Systems reviews
  • 1,539 Views
  • 1,339 Comparison Views
80% willing to recommend
 

Comparison Buyer's Guide

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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.

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To learn more, read our detailed InfluxDB vs. Loom Systems Report (Updated: June 2026).
Buyer's Guide
InfluxDB vs. Loom Systems
June 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
20
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
4
Ranking in other categories
Anomaly Detection Tools (5th)
 

Mindshare comparison

As of July 2026, in the IT Infrastructure Monitoring category, the mindshare of InfluxDB is 0.7%, up from 0.6% compared to the previous year. The mindshare of Loom Systems is 0.5%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Mindshare Distribution
ProductMindshare (%)
InfluxDB0.7%
Loom Systems0.5%
Other98.8%
IT Infrastructure Monitoring
 

Featured Reviews

Mugeesh Husain - PeerSpot reviewer
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.
Read full review
Keerthi Kumar Sangaraju - PeerSpot reviewer
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

"Because of reduced downtime, we benefit greatly from receiving alerts in advance."
"The most valuable feature of the solution is we can use InfluxDB to integrate with and plug into any other tools."
"The most valuable features are aggregating the data and integration with Graphana for monitoring."
"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana."
"Prior to InfluxDB usage, real-time data was not visualized and monitored, and after the introduction of InfluxDB in the entire framework, the organization is benefiting a lot in terms of monitoring and understanding performance data in real-time."
"Based on InfluxDB, we have great analytics produced by our SRE team, and with that, we have an alerting and monitoring system in place."
"InfluxDB positively impacts my organization because I have optimized my database storage, and by using powerful queries, I am able to find my data logs efficiently and also manage logging."
"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."
More InfluxDB pros
"The solution is absolutely scalable."
"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."
"You can develop your own apps within Loom, and they can be configured very simply."
"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."
"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 RFS portion of the solution is the product's most valuable feature."
 

Cons

"The error logging capability can be improved because the logs are not very informative."
"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."
"Sometimes, when we write too much data within a minute, the data count becomes excessive, reaching perhaps 100,000 or 500,000 data points, and InfluxDB gives a timeout exception, which we must handle in our application."
"I haven't seen a return on investment; unfortunately, I cannot share relevant metrics such as time saved, fewer employees needed, or money saved."
"Customer support is fair enough but can be improved."
"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 solution doesn't have much of a user interface."
"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."
More InfluxDB cons
"The reporting is a bit weak."
"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."
"What's lacking in Loom Systems is the level of priority for each incident."
"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."
 

Pricing and Cost Advice

"We are using the open-source version of InfluxDB."
"The tool is an open-source product."
"InfluxDB is open-source, but there are additional costs for scaling."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
10%
Comms Service Provider
9%
Construction Company
9%
Construction Company
23%
Computer Software Company
10%
Financial Services Firm
10%
Outsourcing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise5
Large Enterprise9
No data available
 

Questions from the Community

What needs improvement with InfluxDB?
If the dashboarding facility can be improved in terms of the visualization parameters and the amount of support available from the community, as well as having smarter alerts to send those alerts t...
See all answers
What is your primary use case for InfluxDB?
My main use case for InfluxDB is to inject all my performance data and visualize it as a data source into Grafana. My data comes from JMeter from a plugin, which is inserting data to InfluxDB, and ...
See all answers
What advice do you have for others considering InfluxDB?
It is good to start with InfluxDB to stabilize your data, visualize your data, and have the data stored on a time-series basis. I would recommend everyone to get into InfluxDB and start using it. T...
See all answers
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Comparisons

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Compared 6% of the time
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Compared 6% of the time
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Compared 6% of the time
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Compared 17% of the time
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Compared 12% of the time
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Compared 11% of the time
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Compared 10% of the time
DX Unified Infrastructure Management vs Loom Systems Logo
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Compared 9% of the time
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Product Reports

Buyer's Guide
InfluxDB
June 2026
InfluxDB reportDownload InfluxDB product report
Buyer's Guide
IT Infrastructure Monitoring
June 2026
Loom Systems reportDownload 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
June 2026
Free Report: InfluxDB vs. Loom Systems
Find out what your peers are saying about InfluxDB vs. Loom Systems and other solutions. Updated: June 2026.
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