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
12th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
10
Ranking in other categories
Non-Relational Databases (3rd), Network Monitoring Software (53rd), IT Infrastructure Monitoring (46th), NoSQL Databases (5th)
Milvus
Ranking in Open Source Databases
9th
Average Rating
7.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Vector Databases (6th)
 

Mindshare comparison

As of May 2025, in the Open Source Databases category, the mindshare of InfluxDB is 3.8%, up from 3.2% compared to the previous year. The mindshare of Milvus is 5.9%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases
 

Featured Reviews

PedroCampos - PeerSpot reviewer
A powerful, lightweight time series database with a simple query language and easy setup
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.
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

"The user interface is well-designed and easy to use. It provides a clear overview of the data, making it simple to understand the information at hand."
"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana."
"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 of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."
"InfluxDB's best feature is that it's a cloud offering. Other good features include its time-series DB, fast time-bulk queries, and window operations."
"The most valuable feature of the solution is we can use InfluxDB to integrate with and plug into any other tools."
"The solution is very powerful."
"The most valuable features are aggregating the data and integration with Graphana for monitoring."
"The best feature of Milvus was finding the closest chunk from a huge amount of data."
"I like the accuracy and usability."
"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 solution is well containerized, and since containerization is quick and easy for me, I can scale it up quickly."
 

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."
"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've tried both on-premises and cloud-based deployments, and each has its limitations."
"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."
"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."
"One area for improvement is the querying language. InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying."
"Milvus has higher resource consumption, which introduces complexity in implementation."
"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 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."
"InfluxDB recently increased its price. It is very expensive now."
"The tool is an open-source product."
"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.
850,028 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
13%
Manufacturing Company
9%
Comms Service Provider
7%
Computer Software Company
21%
Financial Services Firm
10%
Manufacturing Company
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?
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 coll...
What is your primary use case for InfluxDB?
I use the solution to store and manage data from various sensors in a production environment. I have developed a system where data from these sensors is communicated through an OPC UA receiver and ...
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: April 2025.
850,028 professionals have used our research since 2012.