Try our new research platform with insights from 80,000+ expert users

InfluxDB vs Milvus comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 23, 2025

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
9th
Average Rating
8.2
Reviews Sentiment
6.6
Number of Reviews
11
Ranking in other categories
Non-Relational Databases (2nd), Network Monitoring Software (24th), IT Infrastructure Monitoring (23rd), NoSQL Databases (3rd)
Milvus
Ranking in Open Source Databases
10th
Average Rating
7.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Vector Databases (8th)
 

Mindshare comparison

As of June 2025, in the Open Source Databases category, the mindshare of InfluxDB is 4.0%, up from 3.2% compared to the previous year. The mindshare of Milvus is 5.8%, up from 2.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases
 

Featured Reviews

DeepakR - PeerSpot reviewer
An open-source database that can be used to insert data
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.
Sameer Bhangale - PeerSpot reviewer
Provides quick and easy containerization, but documentation is not very user-friendly
Milvus' documentation is not very user-friendly and doesn't help me get started quickly. Chroma DB provides super user-friendly documentation, enabling new users to get started quickly. Chroma DB's setup doesn't have many dependencies, whereas Milvus usually comes with some dependencies because of the way it needs to be deployed. Unlike Milvus, it's very easy to do POCs with Chroma DB.

Quotes from Members

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

Pros

"InfluxDB works as expected with excellent scalability and stability, which is critical for our application."
"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana."
"The most valuable feature of the solution is we can use InfluxDB to integrate with and plug into any other tools."
"InfluxDB works as expected with excellent scalability and stability, which is critical for our application."
"The most valuable features are aggregating the data and integration with Graphana for monitoring."
"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."
"The most valuable features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."
"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."
"I like the accuracy and usability."
"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."
"The best feature of Milvus was finding the closest chunk from a huge amount of data."
 

Cons

"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."
"I've tried both on-premises and cloud-based deployments, and each has its limitations."
"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."
"The solution doesn't have much of a user interface."
"The error logging capability can be improved because the logs are not very informative."
"The solution's UI can be more user-friendly."
"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."
"I've heard that when we store too much data in Milvus, it becomes slow and does not work properly."
"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."
"Milvus could make it simpler. Simplifying the requirements and making it more accessible. It could be more user-friendly."
 

Pricing and Cost Advice

"We are using the open-source version of InfluxDB."
"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."
"Milvus is an open-source solution."
"Milvus is an open-source solution."
report
Use our free recommendation engine to learn which Open Source Databases solutions are best for your needs.
859,129 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
13%
Manufacturing Company
9%
Comms Service Provider
7%
Computer Software Company
21%
Manufacturing Company
9%
Financial Services Firm
9%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about InfluxDB?
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 ...
What needs improvement with InfluxDB?
It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster. Replicating data for on-prem development and testing is difficult. Having a SQL abstrac...
What is your primary use case for InfluxDB?
InfluxDB is the main component in our large enterprise-scale streaming data application for maritime vessels. We collect position data from vessels around the coast once per second, put it on a Kaf...
What do you like most about Milvus?
I like the accuracy and usability.
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...
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...
 

Comparisons

 

Overview

 

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
Find out what your peers are saying about InfluxDB vs. Milvus and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.