InfluxDB vs MariaDB comparison

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InfluxDB

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Executive SummaryUpdated on Jan 23, 2025

InfluxDB and MariaDB compete in database technology with InfluxDB focusing on time-series data and MariaDB on relational databases. InfluxDB is preferred for time-series performance, while MariaDB is favored for its advanced features.

Features: InfluxDB efficiently manages time-series data, supports high write throughput, and provides downsampling. Its query language is SQL-like, making it accessible. InfluxDB's fast query performance and lightweight nature are beneficial for handling large datasets. In contrast, MariaDB offers robust transaction processing, SQL standard compatibility, and advanced replication. With a powerful community ecosystem, MariaDB supports various plugins and has a user-friendly interface, combining flexibility with strong analytics capabilities.

Room for Improvement: InfluxDB could benefit from expanding its feature set beyond time-series to be more versatile. Integration with more third-party tools could also enhance its usability. Additionally, simplifying complex queries would improve user experience. MariaDB could enhance its documentation for complex configurations. Greater support for time-series data might broaden its applicability. Simplifying advanced replication set-up could make it more accessible for less experienced users.

Ease of Deployment and Customer Service: InfluxDB is known for its simple deployment with minimal setup, making it ideal for swift time-series implementations. Its customer service is efficient for basic user needs. Conversely, MariaDB supports complex configurations and scales well for large enterprises. Its customer service is comprehensive, making it suitable for intricate deployments.

Pricing and ROI: InfluxDB offers competitive pricing that appeals to budget-conscious customers, providing a quick ROI for time-series solutions. MariaDB's pricing may be higher due to its extensive feature set, but provides good ROI through its enhanced functionality and enterprise-level support. While InfluxDB attracts those looking for cost-effective time-series databases, MariaDB's pricing is justified by its robust capabilities.

To learn more, read our detailed InfluxDB vs. MariaDB Report (Updated: April 2026).

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InfluxDB vs. MariaDB

April 2026

Helped 893,244 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

ROI

Sentiment score

5.6

InfluxDB enhances efficiency with real-time monitoring automation, reducing manual work and boosting system reliability and uptime.

Sentiment score

6.3

MariaDB users experience varied ROI, with savings and efficiency gains, plus benefits like support, flexibility, and open-source enhancements.

These improvements translated into both cost savings and better service reliability, directly impacting business outcomes.

Senior Data Engineer at a university with 201-500 employees

It simplifies processes and reduces the need for additional employees.

For more quotes and insights, download the InfluxDB report

Team Lead, Software at Energybox

InfluxDB reduced my time to show data without any interruption, also reducing the number of people needed to manage the project; it is very good to have InfluxDB in my project.

Btece Lodi

Student at a educational organization with 1,001-5,000 employees

No quotes available

For more quotes and insights, download the MariaDB report

Customer Service

Sentiment score

5.8

InfluxDB's customer service is efficient with enterprise licenses, yet response times vary; knowledgeable support aids complex issues.

Sentiment score

6.3

MariaDB offers responsive support, but users often rely on in-house teams and community resources due to strong documentation.

They get on a call, resolve issues, and handle everything efficiently.

Manas Kashyap

DevOps Engineer at Elevenxcapital

The InfluxDB support team was knowledgeable and helped us troubleshoot complex problems efficiently.

Senior Data Engineer at a university with 201-500 employees

Obtaining that quantity of data directly from InfluxDB is quite challenging, and that is why we ask for help from the InfluxDB team to retrieve the data to avoid timeouts and those kinds of issues.

For more quotes and insights, download the InfluxDB report

Team Lead, Software at Energybox

They came and tuned our queries with one-to-one assistance.

Prabhat-Ranjan

Architect at LTIMindtree

Compared to MongoDB, there are some platform deficiencies, but the support team shouldn't bear that burden.

For more quotes and insights, download the MariaDB report

Co-Founder at Vsigma IT Labs Pvt Ltd

Scalability Issues

Sentiment score

7.0

InfluxDB is valued for scalability in handling large data volumes, with enterprise features supporting extensive scale despite variable costs.

Sentiment score

6.9

MariaDB is scalable, reliable for various applications, but may require configuration and enhancements for large datasets and cloud integration.

The main challenge with InfluxDB, which is common with all databases, was handling very high throughput systems and high throughput message flow.

Sayak Roy

Deployment Engineer at Derq

It can handle large volumes of time-series data and with high ingestion rates, making it suitable for enterprise-scale deployments.

Senior Data Engineer at a university with 201-500 employees

We’ve scaled on volume with seven years of continuous data without performance degradation.

For more quotes and insights, download the InfluxDB report

Senior System Developer at Norled

No quotes available

For more quotes and insights, download the MariaDB report

Stability Issues

Sentiment score

8.0

InfluxDB is generally stable, with some crash reports; praised support, but monitoring metrics is recommended for mission-critical use.

Sentiment score

7.8

MariaDB is highly rated for stability, handling thousands without downtime, needing minimal maintenance but precise tuning for large instances.

It serves as the backbone of our application, and its stability is crucial.

Senior System Developer at Norled

We have used it to support mission-critical systems with continuous data ingestion and real-time analytics.

For more quotes and insights, download the InfluxDB report

Senior Data Engineer at a university with 201-500 employees

It is very stable, with no reliability or downtime in InfluxDB.

Btece Lodi

Student at a educational organization with 1,001-5,000 employees

We haven't found issues with the stability of MariaDB.

For more quotes and insights, download the MariaDB report

Co-Founder at Vsigma IT Labs Pvt Ltd

Room For Improvement

InfluxDB should enhance its query language, scalability, documentation, and integration while improving performance, security, and pricing flexibility.

MariaDB needs better integration, scalability, UI, stability, support, replication, compatibility, and cost-effective licensing to enhance enterprise functionality.

InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying.

Milan Predic

Chief Technology Officer at Presta Agency

Having a SQL abstraction in InfluxDB could be beneficial, making it more accessible for teams that prefer querying with SQL-style syntax.

For more quotes and insights, download the InfluxDB report

Senior System Developer at Norled

It could include automated backup and a monitoring solution for InfluxDB or a script developed by a REST API.

reviewer2778060

Network engineer at a energy/utilities company with 10,001+ employees

MariaDB is scalable and easy to scale.

For more quotes and insights, download the MariaDB report

Co-Founder at Vsigma IT Labs Pvt Ltd

Oracle is very advanced compared to MariaDB, and those advanced features are not available in MariaDB.

Prabhat-Ranjan

Architect at LTIMindtree

Setup Cost

InfluxDB provides cost-effective scalability for enterprises, but requires careful cost planning due to increasing subscription prices.

Enterprise buyers praise MariaDB for its cost-effectiveness and flexibility, often choosing the free version to avoid licensing fees.

We use the open-source version of InfluxDB, so it is free.

Senior System Developer at Norled

I find the cloud version pricing of InfluxDB reasonable, and for the on-premises solution we use in our service, we need to purchase licenses.

Team Lead, Software at Energybox

Pricing is based on data volume, retention, and features, which really makes it scalable but requires careful planning to avoid unexpected costs.

For more quotes and insights, download the InfluxDB report

Senior Data Engineer at a university with 201-500 employees

MariaDB is in the pricey range, especially for huge databases handling terabytes of data.

For more quotes and insights, download the MariaDB report

Co-Founder at Vsigma IT Labs Pvt Ltd

Valuable Features

InfluxDB excels in fast writes, real-time analytics, seamless integration, scalability, and ease of use, enhancing organizational decision-making.

MariaDB is a reliable, scalable open-source database excelling in performance, compatibility, and support for diverse environments and analytics.

The most important feature for us is low latency, which is crucial in building a high-performance engine for day trading.

Milan Predic

Chief Technology Officer at Presta Agency

InfluxDB’s core functionality is crucial as it allows us to store our data and execute queries with excellent response times.

For more quotes and insights, download the InfluxDB report

Senior System Developer at Norled

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.

reviewer2761710

Solutions Engineer at a tech vendor with 51-200 employees

Encryption is available in MariaDB, so we are secure for transmitting data without concern about moving over networks.

Prabhat-Ranjan

Architect at LTIMindtree

Configuration, setup, and schema design are good features in MariaDB.

For more quotes and insights, download the MariaDB report

Co-Founder at Vsigma IT Labs Pvt Ltd

Categories and Ranking

InfluxDB

Ranking in Open Source Databases

7th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Non-Relational Databases (1st), Network Monitoring Software (13th), IT Infrastructure Monitoring (14th), NoSQL Databases (6th)

MariaDB

Ranking in Open Source Databases

8th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Relational Databases Tools (8th)

Mindshare comparison

As of May 2026, in the Open Source Databases category, the mindshare of InfluxDB is 5.0%, up from 3.9% compared to the previous year. The mindshare of MariaDB is 5.8%, down from 6.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases Mindshare Distribution
Product	Mindshare (%)
InfluxDB	5.0%
MariaDB	5.8%
Other	89.2%

Open Source Databases

Featured Reviews

Time series data has been managed efficiently for IoT sensors but reporting still needs improvement

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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Has supported web application data needs but requires design adjustments to manage complex queries efficiently

Co-Founder at Vsigma IT Labs Pvt Ltd

Complex queries in MariaDB where the query needs to parse thousands of lines or data values face some performance issues. For small and medium-size volume, it is pretty good. If it goes beyond certain data and complex queries, we see performance issues. We tried the advanced replication feature between different regions, replicating data specifically residing on MariaDB to two different regions of MariaDB data, and there were some technical snags in terms of slowness and longer processing time. Point-in-time recovery in MariaDB is good for small databases. When data volume increases beyond 5 GB or 10 GB per day or runs into double-digit GBs, we found some performance issues. For data below 10 GB, it works fine. Performance is the primary focus area for MariaDB, particularly during transactions or complex query jobs where slow performance is observed. MariaDB is scalable and easy to scale.

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893,244 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

12%

Manufacturing Company

10%

Comms Service Provider

Construction Company

Computer Software Company

11%

Comms Service Provider

10%

Financial Services Firm

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	27
Midsize Enterprise	12
Large Enterprise	26

Questions from the Community

What needs improvement with InfluxDB?

InfluxDB can be improved by addressing issues such as performance drops, queries being more difficult to understand, and its high memory usage. InfluxDB is not suitable for relational databases lik...

What is your primary use case for InfluxDB?

My main use case for InfluxDB is storing a time series database and analyzing data changes over time. I use InfluxDB to store my infrastructure and application metrics, logs, events, and data, and ...

What advice do you have for others considering InfluxDB?

I would advise others looking into using InfluxDB that if they want to store a time series database for monitoring, logging, and event-based tasks, and also want long-term retention of the database...

What do you like most about MariaDB?

The integration with other products is seamless.

What is your experience regarding pricing and costs for MariaDB?

MariaDB is in the pricey range, especially for huge databases handling terabytes of data. The cost depends on the volume of data and different features enabled during configuration, such as backup ...

What needs improvement with MariaDB?

Sometimes, complex queries that were supported in Oracle are not available in MariaDB. Advanced indexing is not available. Oracle is very advanced compared to MariaDB, and those advanced features a...

MongoDB Enterprise Advanced vs InfluxDB

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Compared 13% of the time

PostgreSQL vs MariaDB

Compared 11% of the time

MySQL vs MariaDB

Compared 10% of the time

SQL Server vs MariaDB

Compared 10% of the time

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Compared 3% of the time

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Product Reports

Download InfluxDB product report

InfluxDB

May 2026

Download MariaDB product report

April 2026

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

MariaDB is a robust database solution known for its scalability, speed, and user-friendliness. It supports seamless integration and provides reliable performance in handling large datasets, offering strong community backing alongside its open-source nature.

MariaDB is renowned for efficiently managing large databases and complex relationships while being stable and easy to integrate. With advanced features like replication, encryption, and SQL compatibility, it offers fast query processing. Its straightforward installation and management processes facilitate seamless enterprise integrations and ensure high performance in real-time data scenarios. However, enhancements in enterprise integration, clustering, and scalability are necessary. Addressing challenges with complex queries, security, and user experience would be advantageous, alongside offering robust technical support and a competitive pricing model.

What are the key features of MariaDB?

Scalability: Handles large databases and complex relationships effectively.
User-Friendliness: Offers easy integration and management.
Speed: Provides fast query processing using multi-core processing efficiently.
Advanced Features: Includes replication, encryption, and SQL compatibility.
Open-Source: Encourages strong community support and continuous improvement.

What benefits should users consider when evaluating MariaDB?

Performance: High performance in real-time data processing.
Integration: Seamless integration with enterprise systems and SaaS applications.
Community Support: Strong open-source community for troubleshooting and development.
Cost-Effectiveness: Competitive pricing compared to proprietary databases.
Compatibility: MySQL compatibility for easier transitions and migrations.

MariaDB is extensively utilized in backend support for cloud telephony platforms, ERP systems, and financial software, being crucial for web application development and data storage. Entities favor its compatibility with MySQL for complex join queries and its support for structured data management in SaaS applications.

Sample Customers

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

Google, Wikipedia, Tencent, Verizon, DBS Bank, Deutsche Bank, Telefónica, Huatai Securities