InfluxDB vs Milvus comparison

InfluxData and The Milvus Project are both solutions in the Open Source Databases category. InfluxData is ranked #7 with an average rating of 8.2, while The Milvus Project is ranked #11 with an average rating of 7.0. InfluxData holds a 5.0% mindshare in OSD, compared to The Milvus Project’s 4.8% mindshare. Additionally, 100% of InfluxData users are willing to recommend the solution, compared to 100% of The Milvus Project users who would recommend it.

InfluxDB

Read 20 InfluxDB reviews

6,493 Views
2,597 Comparison Views

100% willing to recommend

Milvus

Read 5 Milvus reviews

4,393 Views
2,636 Comparison Views

100% willing to recommend

InfluxDB

Milvus

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 23, 2025

InfluxDB and Milvus compete in the data management space, specializing in time-series and vector data, respectively. InfluxDB has the upper hand in time-series processing, while Milvus excels in vector data management, which is critical for AI applications.

Features: InfluxDB provides efficient time-series data handling, high-performance read and write capabilities, and a powerful query language optimized for time-series operations. Milvus offers innovative vector and similarity search functionalities, essential for AI and machine learning.

Room for Improvement: InfluxDB could improve by offering better integration with non-time-series databases, enhancing user interface customization, and expanding its analytics capabilities. Milvus might benefit from a more user-friendly interface, better documentation for beginners, and additional support for non-programmers.

Ease of Deployment and Customer Service: InfluxDB offers diverse deployment options, including cloud, hybrid, and on-premises, emphasizing scalability in time-sensitive applications. Milvus provides a straightforward Kubernetes-based deployment process optimized for AI workloads, along with easy integration with existing ML frameworks.

Pricing and ROI: InfluxDB provides a competitive pricing structure with flexible subscription models for cost-effective time-series solutions. Milvus, being open-source, often results in lower initial setup costs, focusing on advanced vector search capabilities with potential high ROI in AI and machine learning.

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

Buyer's Guide

InfluxDB vs. Milvus

June 2026

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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 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)

Milvus

Ranking in Open Source Databases

11th

Average Rating

7.4

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Vector Databases (11th)

Mindshare comparison

As of July 2026, in the Open Source Databases category, the mindshare of InfluxDB is 5.0%, up from 4.1% compared to the previous year. The mindshare of Milvus is 4.8%, down from 5.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases Mindshare Distribution
Product	Mindshare (%)
InfluxDB	5.0%
Milvus	4.8%
Other	90.2%

Open Source Databases

Featured Reviews

Mugeesh Husain

Team Lead, Software at Energybox

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

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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reviewer2395743

Data Scientist at a tech services company with 1,001-5,000 employees

Helps convert text and other data into a vector space but could provide detailed insights

Milvus is an open-source vector database designed for efficiently handling large-scale, high-dimensional data. It supports various types of data sources and can be deployed on your own premises, which is crucial for maintaining data security. Milvus offers multiple methods for calculating similarities or distances between vectors, such as L2 norm and cosine similarity. These methods help in comparing different vectors based on specific use cases. For instance, in our use case, we find that the L2 distance works best, but you can experiment with different methods to find the most suitable one for your needs. Milvus also includes its own user interface, known as the Milvus Dashboard, which allows you to visualize and manage your data, including embeddings and metadata. You can filter your data based on various criteria, including metadata and file names, which provides flexibility in data management.

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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

"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana."

"The most valuable features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."

"In our case, it started with a necessity to fill the gap that we had in monitoring. We had very reactive monitoring without trend analysis and without some advanced features. We were able to implement them by using a time series database. We are able to have all the data from applications, logs, and systems, and we can use a simple query language to correlate all the data and make things happen, especially with monitoring. We could more proactively monitor our systems and our players' trends."

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

"Because of reduced downtime, we benefit greatly from receiving alerts in advance."

"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."

"As a time series database, it is very powerful and lightweight, and it can deal with heavy workloads very easily."

"InfluxDB has played a key role in enhancing system reliability and supporting our goal of delivering a seamless, high-quality product."

More InfluxDB pros

"The solution is well containerized, and since containerization is quick and easy for me, I can scale it up quickly."

"Milvus has good accuracy and performance."

"Milvus offers multiple methods for calculating similarities or distances between vectors, such as L2 norm and cosine similarity. These methods help in comparing different vectors based on specific use cases. For instance, in our use case, we find that the L2 distance works best, but you can experiment with different methods to find the most suitable one for your needs."

"I like the accuracy and usability."

"The best feature of Milvus was finding the closest chunk from a huge amount of data."

Cons

"Customer support is fair enough but can be improved."

"InfluxDB can be improved in several ways. The Flux query language needs to be learned, but if there were something similar to SQL or previous options, it would be much easier for users without imposing a learning curve."

"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."

"I chose an 8 out of 10 because there is room for improvement, such as regarding backups and enhanced security through other types of authentication or encrypted data in TLS."

"Sometimes, when we write too much data within a minute, the data count becomes excessive, reaching perhaps 100,000 or 500,000 data points, and InfluxDB gives a timeout exception, which we must handle in our application."

"The interface of InfluxDB is so complex and should be made easier for non-technical people."

"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."

"The solution doesn't have much of a user interface."

More InfluxDB cons

"I've heard that when we store too much data in Milvus, it becomes slow and does not work properly."

"Milvus could make it simpler. Simplifying the requirements and making it more accessible. It could be more user-friendly."

"Milvus' documentation is not very user-friendly and doesn't help me get started quickly."

"Milvus has higher resource consumption, which introduces complexity in implementation."

Pricing and Cost Advice

"We are using the open-source version of InfluxDB."

"InfluxDB is open-source, but there are additional costs for scaling."

"The tool is an open-source product."

"Milvus is an open-source solution."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Manufacturing Company

10%

Comms Service Provider

Construction Company

Computer Software Company

13%

Financial Services Firm

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	9

No data available

Questions from the Community

What needs improvement with InfluxDB?

If the dashboarding facility can be improved in terms of the visualization parameters and the amount of support available from the community, as well as having smarter alerts to send those alerts t...

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What is your primary use case for InfluxDB?

My main use case for InfluxDB is to inject all my performance data and visualize it as a data source into Grafana. My data comes from JMeter from a plugin, which is inserting data to InfluxDB, and ...

See all answers

What advice do you have for others considering InfluxDB?

It is good to start with InfluxDB to stabilize your data, visualize your data, and have the data stored on a time-series basis. I would recommend everyone to get into InfluxDB and start using it. T...

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What needs improvement with Milvus?

Milvus could be improved how it could automatically generate insights from the data it holds. Milvus maintains embedding information and knows the relationships between data points. It would be use...

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What is your primary use case for Milvus?

Milvus is primarily used in RAG, which involves retrieving relevant documents or data to augment the generation of new content. Milvus helps convert text and other data into a vector space, and the...

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What advice do you have for others considering Milvus?

Milvus works well for various use cases and is quite flexible in terms of deployment. For on-premises deployment, you can use the open-source version with Docker. The system requirements are relati...

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Product Reports

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InfluxDB

June 2026

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Buyer's Guide

Open Source Databases

June 2026

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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

Milvus is a powerful tool for efficiently storing and retrieving large-scale vectors or embeddings. It is widely used in applications such as similarity search, recommendation systems, image and video retrieval, and natural language processing.

With its fast and accurate search capabilities, scalability, and support for multiple programming languages, Milvus is suitable for a wide range of industries and use cases.

Users appreciate its efficient search capabilities, ability to handle large-scale data, support for various data types, and user-friendly interface.

Milvus enables easy retrieval of information from vast datasets, regardless of the data format, and is praised for its high performance and scalability. The intuitive and easy-to-use interface is also highlighted as a valuable aspect of the platform.

The Milvus Project

Sample Customers

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

1. Alibaba Group 2. Tencent 3. Baidu 4. JD.com 5. Meituan 6. Xiaomi 7. Didi Chuxing 8. ByteDance 9. Huawei 10. ZTE 11. Lenovo 12. Haier 13. China Mobile 14. China Telecom 15. China Unicom 16. Ping An Insurance 17. China Life Insurance 18. Industrial and Commercial Bank of China 19. Bank of China 20. Agricultural Bank of China 21. China Construction Bank 22. PetroChina 23. Sinopec 24. China National Offshore Oil Corporation 25. China Southern Airlines 26. Air China 27. China Eastern Airlines 28. China Railway Group 29. China Railway Construction Corporation 30. China Communications Construction Company 31. China Merchants Group 32. China Evergrande Group

Buyer's Guide

InfluxDB vs. Milvus

June 2026

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