InfluxDB Reviews

Name: InfluxDB
Brand: InfluxData
Rating: 4.1 (11 reviews)

4.1 out of 5

11 reviews
100% willing to recommend

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 #2 ranked solution in top Non-Relational Databases, #3 ranked solution in top NoSQL Databases, #9 ranked solution in top Open Source Databases, #23 ranked solution in best Network Monitoring Tools, and #24 ranked solution in Infrastructure Monitoring tools. PeerSpot users give InfluxDB an average rating of 8.2 out of 10. InfluxDB is most commonly compared to Datadog: InfluxDB vs Datadog. InfluxDB is popular among the large enterprise segment, accounting for 62% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 14% of all views.

Helped 861,390 peers since 2012

Featured InfluxDB reviews

DeepakR

Site Reliability Engineer(Observability) at Sapiens

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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BhupendraSharma

Cloud and DevOps Engineer at Betaque

There were concerns about data loss due to infrastructure limitations. We couldn't back up data locally if we were using the InfluxDB cloud, which was a major drawback. So, InfluxDB could improve its data backup capabilities. Having a backup option would allow us to save data and avoid relying solely on cloud infrastructure. We've experienced data loss incidents in the past, so backup is crucial. I've tried both on-premises and cloud-based deployments, and each has its limitations.

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PedroCampos

Senior DevOps at Light And Wonder

Influx has TICK Stack, which contains multiple services and multiple products that work together. InfluxDB is just a time series database, and it works really well. I haven't yet had the time to look into the new stack based on Influx 2.0, but currently, as a time series database, InfluxDB is working the way it is supposed to work. 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. I would also like to have high availability features, such as replication, active-active, etc. If they can put an extra plugin or service on top of it, it would be something interesting. I am not sure if they have high availability to make it data center-aware for clustering. For example, I am not sure whether you can have it at different locations with big clusters that are location-aware. Even in their documentation or presentation, they talk too little about high availability and extended clusters with different locations. They might already have it in the newer versions. We have Influx 1.8 in our production in the stage and internal workloads environments. The other products in their ecosystem, such as Chronograf, can be improved. Chronograf is a dashboarding or visualization layer product, and that, for sure, can be improved.

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InfluxDB mindshare

Product category:

As of July 2025, the mindshare of InfluxDB in the Open Source Databases category stands at 4.0%, up from 3.2% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Open Source Databases

PeerResearch reports based on InfluxDB reviews

Type	Title	Date
Category	Open Source Databases	Jul 11, 2025	Download
Product	Reviews, tips, and advice from real users	Jul 11, 2025	Download
Comparison	InfluxDB vs Firebird SQL	Jul 11, 2025	Download
Comparison	InfluxDB vs MySQL	Jul 11, 2025	Download
Comparison	InfluxDB vs PostgreSQL	Jul 11, 2025	Download

Title	Rating	Mindshare	Recommending
Datadog	4.3	N/A	97%	187 interviews Add to research
Zabbix	4.2	N/A	95%	106 interviews Add to research

Valuable Features

InfluxDB is praised for its powerful features, ease of use, and strong integration with Grafana. Its aggregation capabilities, robust performance, and good documentation are valuable. Users appreciate its SQL-like query language, fast time-series processing, and lightweight nature. The cloud offering and seamless integration with various tools are highlighted. Its ability to handle heavy workloads, provide low latency, and manage time series data effectively is essential for diverse use cases. The user interface is intuitive and efficient.

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

Room for Improvement

InfluxDB lacks a user-friendly interface and has complex setup processes. The integration with Chronograf and Capacitor requires enhancement. Its error logging is insufficiently informative, and the deprecation of FluxQL is an issue. Data backup on the cloud is limited, and high availability features like clustering are missing in the community version. InfluxDB struggles with high-cardinality data and lacks comprehensive documentation. Querying language development and better configuration management are imperative for improvement.

"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."
"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."
"One area for improvement is the querying language. InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying."

Pricing

InfluxDB users report diverse pricing experiences. Some utilize the open-source version at no cost, while others encounter additional expenses for scaling. Recent changes shifted from an annual to a monthly subscription model, leading to perceptions of increased pricing. The open-source nature remains appealing, yet scaling demands can introduce unforeseen 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

Users utilize InfluxDB for diverse applications including database storage, log aggregation, and monitoring. They employ it in casino applications for metrics and trend analysis, and manage it via private cloud and on-premise setups. It supports querying based on time ranges, operations for sensors data in production, and enables customized alerts and visualizations. InfluxDB aids in a trading agent for crypto market adaptation and serves a maritime streaming data application, collecting time-series data.

Service and Support

InfluxDB's community forums are highly praised for being helpful and active. However, the response from their support may be slow, with longer delays for feature-related inquiries. Users occasionally mention reliance on internal teams and documentation to resolve issues. While premium support offers immediate access to experts, some mention challenges when deviating from official documentation. Despite some dissatisfaction, the community aspect is consistently appreciated.

Deployment

InfluxDB's initial setup is generally straightforward, taking from a few minutes to a few hours. While some find it easy with one-command installs, clusters can pose challenges, especially when logs lack detail. Some have noted a learning curve, but installations often proceed smoothly once familiar. Kubernetes deployments or using scripts can further simplify the process. Users find installations resembling app setups, though understanding requirements initially may take a bit of time.

Scalability

Many users find InfluxDB scalable with varying experiences. Some scale it easily, benefiting from automated processes and extensive use in large teams, while others face challenges or costs at enterprise levels. Scalability is praised for supporting long-term data tracking, but stability concerns like data backup issues are noted. Usage varies with some leveraging it for real-time data, while others use it extensively across departments for monitoring and reporting.

Stability

InfluxDB is praised for its robust reliability by many, serving as a crucial component of applications. Users appreciate its dependable nature, with no significant errors or disruptions reported. Some users mention the importance of monitoring volume metrics to maintain efficiency. Although a few instances of data loss were noted, the majority find it stable and effective. Its proven track record makes it a recommended choice among professionals who rely on its consistent performance.

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

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Comms Service Provider

University

Healthcare Company

Government

Educational Organization

Energy/Utilities Company

Outsourcing Company

Hospitality Company

Transportation Company

Retailer

Construction Company

Recreational Facilities/Services Company

Media Company

Non Profit

Performing Arts

Real Estate/Law Firm

Aerospace/Defense Firm

Logistics Company

Wholesaler/Distributor

Insurance Company

Pharma/Biotech Company

Legal Firm

Engineering Company

Compare InfluxDB with alternative products

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.”