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InfluxDB Reviews

Vendor: InfluxData
4.0 out of 5
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What is InfluxDB?

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.

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InfluxDB is the #1 ranked solution in top Non-Relational Databases, #6 ranked solution in top NoSQL Databases, #7 ranked solution in top Open Source Databases, #13 ranked solution in best Network Monitoring Tools, and #15 ranked solution in Infrastructure Monitoring tools. PeerSpot users give InfluxDB an average rating of 8.0 out of 10. InfluxDB is most commonly compared to Datadog: InfluxDB vs Datadog. InfluxDB is popular among the large enterprise segment, accounting for 48% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 13% of all views.
Buyer's Guide
InfluxDB
April 2026
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InfluxDB mindshare

Product category:
Open Source Databases
As of April 2026, the mindshare of InfluxDB in the Open Source Databases category stands at 4.9%, up from 3.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
InfluxDB4.9%
PostgreSQL13.5%
Firebird SQL11.0%
Other70.6%
Open Source Databases

PeerResearch reports based on InfluxDB reviews

TypeTitleDate
CategoryOpen Source DatabasesApr 15, 2026Download
ProductReviews, tips, and advice from real usersApr 15, 2026Download
ComparisonInfluxDB vs PostgreSQLApr 15, 2026Download
ComparisonInfluxDB vs MySQLApr 15, 2026Download
ComparisonInfluxDB vs ClickHouseApr 15, 2026Download
Suggested products
TitleRatingMindshareRecommending
Datadog4.3N/A97%208 interviewsAdd to research
Zabbix4.2N/A95%108 interviewsAdd to research
 
 
Key learnings from peers
Last updated Apr 15, 2026

Valuable Features

InfluxDB offers powerful data aggregation, seamless Grafana integration, and SQL-like queries. Its high-performance time-series capabilities and excellent UI enhance data visualization and real-time monitoring. Users appreciate its lightweight nature, fast queries, and robust cloud features. Kapacitor and Telegraf components efficiently manage data workflows. Complex analytics, scalability, and comprehensive documentation further boost its value. Organizations report significant positive impact on network monitoring, low latency in trading, and improved operational efficiency through proactive alerts and customizable dashboards.
  • "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."
  • "I recommend going with the cloud version of InfluxDB, as it's very cheap and effective."
  • "As a time series database, it is very powerful and lightweight, and it can deal with heavy workloads very easily."

Room for Improvement

InfluxDB lacks a user-friendly interface and struggles with integration, documentation, and error logging. It needs improved query compatibility, clustering, authentication in the community version, and data backup options. Migration to new versions is burdensome for users. There is demand for high availability, high cardinality data handling, enhanced query optimization, SQL-like language support, and better multi-tenant access control. Machine learning integrations and support for diverse cloud platforms are desired. Security and alerting enhancements are also needed.
  • "InfluxDB can be improved by addressing issues such as performance drops, queries being more difficult to understand, and its high memory usage."
  • "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."
  • "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."

ROI

InfluxDB often improves operational efficiency through time savings and process simplification. Many reported enhanced data display times and fewer personnel requirements. It facilitates better system monitoring and alerting, leading to quicker incident responses and reduced downtime. Companies experienced automation benefits, lowering manual monitoring efforts and allowing teams to focus on more valuable tasks. However, not all observed financial gains or reduced staffing needs but noted improved service reliability and client satisfaction.

Pricing

Enterprise users of InfluxDB find varying experiences with pricing and licensing. While many utilize the open-source version, requiring minimal direct costs, others note increased expenses for scaling and transitioning to a subscription model. Costs are influenced by data volume, retention, and additional server resources like CPU. Some find the cloud version pricing reasonable, with on-premises requiring separate licenses. A strategic approach to data management and monitoring proves vital in maximizing ROI and controlling expenses.
  • "The tool is an open-source product."
  • "InfluxDB recently increased its price. It is very expensive now."
  • "InfluxDB is open-source, but there are additional costs for scaling."

Popular Use Cases

InfluxDB is primarily used for monitoring, data storage, and analysis across various sectors. Organizations utilize it for tasks such as log aggregation, metric and trend analysis, managing sensor data in IoT environments, crypto market real-time data collection, maritime vessel tracking, and Kubernetes monitoring. It serves as a backbone for systems demanding high-frequency, time-series data ingestion, offering seamless integration with tools like Grafana and Prometheus, supporting enterprise-scale applications in cloud and on-premise infrastructures.

Service and Support

InfluxDB customer service is praised for being responsive and helpful, especially for enterprise users with premium support and dedicated consultants. Community forums and documentation are highly valued by many for troubleshooting. Some find support lacking, experiencing slow response times or challenges in retrieving data. Many have resolved issues without contacting support. Users find the forums active and solutions accessible, although some might face limitations if deviating from official documentation.

Deployment

InfluxDB's initial setup is often straightforward and efficient, with many users finding it quick to deploy, especially with existing repositories for most operating systems. However, some encountered complexity, particularly with cluster setup and initial learning curves. Utilizing tools like Kubernetes and Docker simplifies installation, while newcomers may need time for understanding. Despite challenges, once familiar, the setup is streamlined, requiring minimal ongoing maintenance. Setup duration varies, ranging from minutes to a few hours or days.

Scalability

InfluxDB is described as scalable and capable of handling large volumes of time-series data with high ingestion rates, making it suitable for enterprise environments. Many organizations use it for monitoring, reporting, and data acquisition without significant scaling challenges. Some mention needing additional resources for enterprise-level scaling, while others highlight automated systems managing extensive data. Its scalability is enhanced by features like retention policies and high availability but may require additional tools for very high throughput systems.

Stability

InfluxDB is praised for its stability, with many users not facing any issues or experiencing downtime. Some mention it serves as a critical component in their applications. However, a few have encountered incidents involving data loss or outages, particularly during large data parsing or cloud provider issues. Despite these challenges, integration with other tools like Kafka helps mitigate problems, ensuring InfluxDB remains stable 99% of the time. Performance is also noted as generally good.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our InfluxDB Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company SizeCount
Small Business7
Midsize Enterprise4
Large Enterprise7
By reviewers
By visitors reading reviews
Company SizeCount
Small Business140
Midsize Enterprise76
Large Enterprise202
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
10%
Comms Service Provider
9%
University
8%
Construction Company
7%
Computer Software Company
7%
Outsourcing Company
5%
Healthcare Company
5%
Energy/Utilities Company
5%
Transportation Company
3%
Educational Organization
3%
Government
3%
Hospitality Company
2%
Non Profit
2%
Wholesaler/Distributor
2%
Insurance Company
2%
Marketing Services Firm
2%
Performing Arts
2%
Real Estate/Law Firm
2%
Retailer
2%
Recreational Facilities/Services Company
1%
Logistics Company
1%
Aerospace/Defense Firm
1%
Media Company
1%
Religious Institution
1%

Compare InfluxDB with alternative products

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Learn more about InfluxDB

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.”

InfluxDB customers

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

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Product Categories

Product Categories
Open Source Databases
Non-Relational Databases
Network Monitoring Software
IT Infrastructure Monitoring
NoSQL Databases

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InfluxDB Reviews Summary
Author infoRatingReview Summary
Team Lead, Software at Energybox3.5I use InfluxDB Cloud for high-volume IoT sensor data, appreciating its time-series capabilities and managed service. Still, lack of China cloud support, frequent version changes, and query timeouts are drawbacks, leading to my 7/10 rating.
Senior Data Engineer at a university with 201-500 employees4.0InfluxDB is excellent for my real-time monitoring and anomaly detection needs, with its scalable time-series storage and powerful query language boosting system reliability and operational efficiency. I wish for better Flux documentation and advanced analytics.
Senior System Developer at Norled5.0I use InfluxDB for continuous vessel tracking, finding it extremely stable and scalable over seven years. Its core functionality is critical, though backups in Azure Kubernetes and data replication pose challenges.
Deployment Engineer at Derq4.0I used InfluxDB for real-time LEO satellite KPI monitoring, valuing its time-series performance and integration. While it's economical and stable with Kafka, I found integration documentation insufficient and desired a NoSQL option.
DevOps Engineer at Elevenxcapital3.5I value InfluxDB for its extremely fast writes, alerts, and reduced downtime for monitoring. Though stable, its Flux query language has a learning curve, and essential scaling features are costly enterprise-only options.
Network engineer at a energy/utilities company with 10,001+ employees4.0I use InfluxDB for monitoring Cisco devices with Prometheus and Grafana, finding it stable and easy to use, saving time. It's a great solution, though I'd like automated backups and enhanced security features.
DevOps Engineer at Elevenxcapital3.5I use InfluxDB for log monitoring and SRE analytics, valuing its long-term data series, open-source nature, and scalability. While stable and time-saving, I wish it handled metrics better, similar to Prometheus, and consolidated data sources.
Student at a educational organization with 1,001-5,000 employees3.5I use InfluxDB for greenhouse sensor data visualization, valuing its stability and Excel-like organization. While it reduced project time, I find its interface complex and require Grafana for better visualization, leading to a 7/10 rating.