InfluxDB vs Milvus comparison

InfluxData and The Milvus Project are both solutions in the Open Source Databases category. InfluxData is ranked #9 with an average rating of 9.0, while The Milvus Project is ranked #10 with an average rating of 7.4. InfluxData holds a 4.2% mindshare in OSD, compared to The Milvus Project’s 5.9% 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 11 InfluxDB reviews

3,043 Views
1,613 Comparison Views

100% willing to recommend

Milvus

Read 5 Milvus reviews

3,163 Views
1,835 Comparison Views

100% willing to recommend

InfluxDB

Milvus

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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: July 2025).

Buyer's Guide

InfluxDB vs. Milvus

July 2025

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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

9th

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Non-Relational Databases (1st), Network Monitoring Software (22nd), IT Infrastructure Monitoring (26th), NoSQL Databases (4th)

Milvus

Ranking in Open Source Databases

10th

Average Rating

7.4

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Vector Databases (9th)

Mindshare comparison

As of August 2025, in the Open Source Databases category, the mindshare of InfluxDB is 4.2%, up from 3.1% compared to the previous year. The mindshare of Milvus is 5.9%, up from 3.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases

Featured Reviews

DeepakR

Site Reliability Engineer(Observability) at Sapiens

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.

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Sameer Bhangale

Leader, Data Science Practice at a computer software company with 5,001-10,000 employees

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.

Read full review

Quotes from Members

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

Pros

"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 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."

"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 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."

"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."

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

More InfluxDB pros

"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

"One area for improvement is the querying language. InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying."

"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."

"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."

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

"The error logging capability can be improved because the logs are not very informative."

"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."

"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."

More InfluxDB cons

"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."

"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."

"InfluxDB recently increased its price. It is very expensive now."

"Milvus is an open-source solution."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

11%

Comms Service Provider

Manufacturing Company

Computer Software Company

20%

Manufacturing Company

10%

Financial Services Firm

10%

University

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 ...

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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...

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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...

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What do you like most about Milvus?

I like the accuracy and usability.

See all answers

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...

See all answers

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...

See all answers

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Compared 24% of the time

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Compared 17% of the time

PostgreSQL vs InfluxDB

Compared 6% of the time

SQLite vs InfluxDB

Compared 5% of the time

Cassandra vs InfluxDB

Compared 5% of the time

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LanceDB vs Milvus

Compared 16% of the time

Elastic Search vs Milvus

Compared 13% of the time

Supabase Vector vs Milvus

Compared 9% of the time

MongoDB Enterprise Advanced vs Milvus

Compared 9% of the time

OpenSearch vs Milvus

Compared 8% of the time

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Product Reports

Buyer's Guide

InfluxDB

August 2025

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Buyer's Guide

Open Source Databases

July 2025

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Overview

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.

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.”

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

July 2025

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