InfluxDB Reviews

Name: InfluxDB
Brand: InfluxData
Rating: 4.0 (20 reviews)

Vendor: InfluxData

4.0 out of 5

20 reviews
100% willing to recommend

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What is InfluxDB?

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.

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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 47% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 12% of all views.

Helped 890,124 peers since 2012

Featured InfluxDB reviews

Mugeesh Husain

Team Lead, Software at Energybox

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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reviewer2804886

Senior Data Engineer at a university with 201-500 employees

One thing I appreciate about InfluxDB is its balance between performance and ease of use, especially with Flux making complex queries accessible. However, I do wish the documentation and community resources around Flux were more extensive and beginner-friendly. Additionally, InfluxDB handles time-series data well, but deeper native support for anomaly detection or machine learning integrations would be great. Overall, it is a strong platform, and these enhancements could really make it even more powerful for data-driven teams. InfluxDB is a strong platform, but there are a few areas where it could improve to better serve users and businesses. I would start with expanding and simplifying the documentation and community resources around its query language. It would help new users onboard faster and use the tool more effectively. Secondly, deeper native support for advanced analytics through machine learning integrations would add significant value by automating insights. The next thing I see is that enhancing the user experience around alerting, making it more intuitive and customizable, could really improve operational responsiveness. Lastly, better multi-tenant and role-based access control would really help organizations manage their security and collaboration more effectively. These improvements would make InfluxDB even more powerful and user-friendly for diverse teams. From a performance perspective, enhancing InfluxDB scalability for very high cardinality data sets would be beneficial as some use cases generate massive volumes of unique time-series. Improving the query optimization to reduce latency on complex queries would also help maintain responsiveness. On the integration side, expanding the native connectors to popular cloud platforms and data tools such as AWS services, BI platforms, and machine learning would be great. These improvements would make InfluxDB more adaptable and performant.

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Henning Jansen

Senior System Developer at Norled

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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InfluxDB mindshare

Product category:

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
Product	Mindshare (%)
InfluxDB	4.9%
PostgreSQL	13.5%
Firebird SQL	11.0%
Other	70.6%

Open Source Databases

PeerResearch reports based on InfluxDB reviews

Type	Title	Date
Category	Open Source Databases	Apr 27, 2026	Download
Product	Reviews, tips, and advice from real users	Apr 27, 2026	Download
Comparison	InfluxDB vs PostgreSQL	Apr 27, 2026	Download
Comparison	InfluxDB vs MySQL	Apr 27, 2026	Download
Comparison	InfluxDB vs ClickHouse	Apr 27, 2026	Download

Valuable Features

InfluxDB's most valuable features include fast data writes, an optimized storage engine, efficient data compression, and low latency, supporting high-performance engines. Users appreciate its SQL-like query language, real-time alerting, and time-series capabilities. Integrations with Grafana, Kapacitor, and robust community support enhance its functionality, while the cloud offering and seamless integration options boost its appeal. Overall, InfluxDB provides excellent performance, stability, and simplicity for monitoring and telemetry-driven projects.

"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

Users suggest improvements for InfluxDB in areas like its query language, scalability, and pricing. They mention a need for features such as clustering in community versions, better Chronograf integration, and documentation enhancement. Other areas for improvement include UI friendliness, backup capabilities, error logging, high cardinality data handling, multi-tenant control, and support for machine learning integrations. A SQL-like query syntax is desired, and concerns about frequent version changes and cloud-specific limitations are noted.

"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 offers high availability and efficient alerts, ensuring no downtime while scaling. It enhances operational efficiency by automating monitoring and alerting, reducing issue detection time by 40% and manual monitoring efforts by 20%. Users benefit from streamlined processes, allowing for fewer employees and increased focus on valuable tasks. While some did not note monetary savings or reductions in workforce, time efficiency was a significant advantage for many. Operational-focused companies did not measure benefits.

Pricing

InfluxDB offers an open-source version with no initial licensing costs, but users report additional expenses for scaling infrastructure, particularly for server resources like CPU. While some find cloud and on-premises pricing reasonable, acknowledging increased per-month pricing, others emphasize the need for a well-planned cost strategy due to expenses based on data volume, retention, and features. The flexible licensing terms can accommodate growth, but detailed monitoring of data usage is essential to control costs.

"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 time-series data management across diverse environments. Users employ it for sensor data storage, server metrics, Kubernetes monitoring, application performance, casino stack analysis, and trading platforms. Its integration with tools like Grafana facilitates visualization. InfluxDB supports high-frequency metric ingestion, supports IoT deployments, and enables comprehensive monitoring of system health and network data. It manages logs, optimizes API response times, and serves enterprise-scale streaming applications effectively.

Service and Support

InfluxDB's customer service is rated highly by those with enterprise licenses, offering quick issue resolution and helpful support. Forums and documentation are effective resources for many, enabling issue resolution without direct support contact. While some experience slow responses and need premium support for urgent help, the community is praised for its activity and assistance. Premium support offers direct expert access, beneficial for complex problems and large-scale deployments.

Deployment

Users found InfluxDB's initial setup to be straightforward and efficient, often completing deployment in hours or minutes. While some experienced a learning curve, especially with cluster setups, many appreciated the ease of installation using available repositories and Docker images. The setup process is likened to installing an app, with most operating systems supported. Initial challenges were noted, but the platform's auto-scalability and ease of ongoing management were highly valued.

Scalability

InfluxDB is known for impressive scalability, especially in its enterprise version. Many have utilized it for extensive monitoring and analytics capabilities without significant performance issues. Costs may rise for enterprise scaling, but its features like high ingestion rates and retention policies support large volumes of data effectively. Some have incorporated Kafka for handling high throughput, while others maintain consistent performance with scalable environments, utilizing time-series data management, ensuring efficient query handling even in enterprise-scale deployments.

Stability

InfluxDB is generally stable with most users reporting no issues. It handles mission-critical systems and supports continuous data ingestion well. Some users integrate Kafka for better stability when processing large data volumes. Despite occasional outages linked to external factors like AWS downtime, stability remains high. Users in regions lacking official support, like Azure China, manage installations with technical assistance. Monitoring and support aid in maintaining performance, although some data loss incidents have been reported.

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 Size	Count
Small Business	7
Midsize Enterprise	4
Large Enterprise	7

By reviewers

By visitors reading reviews
Company Size	Count
Small Business	144
Midsize Enterprise	77
Large Enterprise	199

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

12%

Manufacturing Company

10%

Comms Service Provider

Construction Company

University

Computer Software Company

Outsourcing Company

Healthcare Company

Energy/Utilities Company

Transportation Company

Educational Organization

Government

Non Profit

Hospitality Company

Wholesaler/Distributor

Insurance Company

Marketing Services Firm

Performing Arts

Real Estate/Law Firm

Retailer

Recreational Facilities/Services Company

Aerospace/Defense Firm

Logistics Company

Media Company

Religious Institution

Compare InfluxDB with alternative products

Learn more about InfluxDB

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.

InfluxDB customers

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

Title	Rating	Mindshare	Recommending
Datadog	4.3	N/A	97%	208 interviews Add to research
Zabbix	4.2	N/A	95%	108 interviews Add to research

Author info	Rating	Review Summary
Team Lead, Software at Energybox	3.5	I 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 employees	4.0	InfluxDB 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 Norled	5.0	I 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 Derq	4.0	I 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 Elevenxcapital	3.5	I 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+ employees	4.0	I 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 Elevenxcapital	3.5	I 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 employees	3.5	I 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.

InfluxDB Reviews

What is InfluxDB?

Featured InfluxDB reviews

InfluxDB mindshare

PeerResearch reports based on InfluxDB reviews

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

Top industries

Compare InfluxDB with alternative products

Learn more about InfluxDB

InfluxDB customers

Related questions

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