InfluxDB vs Loom Systems comparison

InfluxData and ServiceNow are both solutions in the IT Infrastructure Monitoring category. InfluxData is ranked #24 with an average rating of 9.0, while ServiceNow is ranked #62. InfluxData holds a 0.6% mindshare in IM, compared to ServiceNow’s 0.3% mindshare. Additionally, 100% of InfluxData users are willing to recommend the solution, compared to 80% of ServiceNow users who would recommend it.

InfluxDB

Read 11 InfluxDB reviews

531 Views
50 Comparison Views

100% willing to recommend

Loom Systems

Read 4 Loom Systems reviews

342 Views
68 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: June 2025).

Buyer's Guide

InfluxDB vs. Loom Systems

June 2025

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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

24th

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Non-Relational Databases (2nd), Open Source Databases (9th), Network Monitoring Software (23rd), NoSQL Databases (3rd)

Loom Systems

Ranking in IT Infrastructure Monitoring

62nd

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (2nd)

Mindshare comparison

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

IT Infrastructure Monitoring

Featured Reviews

DeepakR

Site Reliability Engineer(Observability) at Sapiens

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.

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Keerthi Kumar Sangaraju

Technology Manager at FIS

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

"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."

"The most valuable features are aggregating the data and integration with Graphana for monitoring."

"The solution is very powerful."

"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."

"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with 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 most valuable features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."

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

More InfluxDB pros

"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."

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

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

Cons

"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."

"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."

"I've tried both on-premises and cloud-based deployments, and each has its limitations."

"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."

"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."

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

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

"The tool is an open-source product."

"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."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Comms Service Provider

Computer Software Company

23%

Financial Services Firm

13%

Real Estate/Law Firm

11%

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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?

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...

See all answers

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...

See all answers

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Comparisons

ClickHouse vs InfluxDB

Compared 25% of the time

MongoDB vs InfluxDB

Compared 17% of the time

PostgreSQL vs InfluxDB

Compared 6% of the time

ScyllaDB vs InfluxDB

Compared 5% of the time

SQLite vs InfluxDB

Compared 5% of the time

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SolarWinds NPM vs Loom Systems

Compared 50% of the time

Huawei eSight vs Loom Systems

Compared 50% of the time

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Product Reports

Buyer's Guide

InfluxDB

June 2025

Download InfluxDB product report

Buyer's Guide

IT Infrastructure Monitoring

June 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

June 2025

Free Report: InfluxDB vs. Loom Systems

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