Milvus vs Redis comparison

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Milvus

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Executive SummaryUpdated on Mar 15, 2026

Redis and Milvus are competing products in the data management category. Milvus has the upper hand due to its robust features catering to AI applications, despite Redis excelling in pricing and support.

Features:Redis is renowned for high-speed data retrieval, simple data structures, and its effective caching capabilities, making it a preferred choice for real-time applications. Milvus excels in vector data processing, offers powerful vector similarity search, and is designed for AI and machine learning applications, making it suited for complex data analysis tasks.

Room for Improvement:Redis could improve its capabilities in handling complex data structures and enhance its disk access features for better data persistence. Additionally, expanding beyond single-thread limitations could address concurrency management in more demanding environments. Milvus may benefit from refining its deployment procedures to shorten setup times, improve documentation clarity for beginners, and minimize the learning curve associated with vector data operations.

Ease of Deployment and Customer Service:Redis has a straightforward deployment model with thorough documentation and community support, enabling seamless setup. Milvus offers flexible deployment in cloud-native environments with robust support, making it adaptable to various infrastructure needs. Milvus provides an edge in deployment flexibility and support.

Pricing and ROI:Redis offers competitive setup costs, leading to quick ROI in resource-constrained environments. Milvus requires a higher initial investment but justifies this with significant ROI through its advanced handling of large-scale vector data, making it suitable for AI-focused businesses.

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

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Milvus vs. Redis

June 2026

Helped 907,768 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:

Categories and Ranking

Milvus

Ranking in Vector Databases

14th

Average Rating

7.4

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Open Source Databases (14th)

Redis

Ranking in Vector Databases

3rd

Average Rating

8.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

NoSQL Databases (3rd), Managed NoSQL Databases (5th), In-Memory Data Store Services (1st), AI Software Development (9th)

Mindshare comparison

As of August 2026, in the Vector Databases category, the mindshare of Milvus is 7.0%, down from 8.1% compared to the previous year. The mindshare of Redis is 6.8%, up from 4.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Mindshare Distribution
Product	Mindshare (%)
Redis	6.8%
Milvus	7.0%
Other	86.2%

Vector Databases

Featured Reviews

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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RituRaj

SDE 2 at Virtusa

Caching has improved response times and reduces database load for high-traffic applications

Redis is very reliable, but it could be improved in areas such as monitoring, debugging, and feasibility into memory use. Better built-in tools for observability would help teams manage it more effectively at scale. Managing memory efficiently and troubleshooting issues can sometimes require additional tooling, so these areas can also be improved.One practical challenge I experienced is managing memory efficiently. Since Redis is in-memory, we need to carefully configure eviction policies and monitor usage. Debugging cache-related issues such as stale data or cache invalidation can sometimes be tricky. Additionally, tuning memory usage and eviction policies needs to be planned very carefully.

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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

"I like the accuracy and usability."

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

"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 has good accuracy and performance."

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

"The performance of Redis is very fast."

"Redis is better tested and is used by large companies. I haven't found a direct alternative to what Redis offers. Plus, there are a lot of support and learning resources available, which help you use Redis efficiently."

"Redis acts as an in-memory search tool that improves the speed of operations, allowing for quicker data retrieval and enhancing the performance of applications."

"The in-memory data makes it fast."

"Redis is a simple service that does what it promises."

"What I like best about Redis is its fast and easy use. It has interesting algorithms like HyperLogLog and provides useful features. It's also good for implementing scalable rate limiting."

"Redis provides an easy setup and operation process, allowing users to quickly connect and use it without hassle."

"It is particularly efficient for cloud-based storage and operations."

More Redis pros

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."

"For the PubSub feature, we had to create our own tools to monitor the events."

"Making management easier, especially for teams operating large Redis clusters, would be helpful."

"Redis presents a single point of failure and lacks fault tolerance."

"The development of clusters could improve. Additionally, it would be helpful if it was integrated with Amazon AWS or Google Cloud."

"The solution's pricing for a local installation is very expensive."

"There is room for AWS to provide more options for server types or a way to configure more or less memory for them."

"Redis could improve its efficiency in handling locally stored data, not just Amazon Cloud or Google Cloud."

"Redis should have an option to operate without Docker on a local PC."

More Redis cons

Pricing and Cost Advice

"Milvus is an open-source solution."

"Redis is an open-source product."

"Redis is an open-source solution. There are not any hidden fees."

"Redis is not an overpriced solution."

"The tool is open-source. There are no additional costs."

"We saw an ROI. It made the processing of our transactions faster."

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Top Industries

By visitors reading reviews

Computer Software Company

13%

Financial Services Firm

Manufacturing Company

University

Financial Services Firm

23%

Computer Software Company

10%

Comms Service Provider

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	6
Large Enterprise	10

Questions from the Community

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...

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...

What needs improvement with Redis?

I have faced a few challenges and limitations with Redis. Although it is extremely powerful, there are challenges and areas for improvement depending on the use case. The first challenge is memory ...

What is your primary use case for Redis?

The main use case for Redis is caching. Caching is the primary purpose of using Redis for my organization, as I use it to cache frequently accessed data to improve application performance and reduc...

What advice do you have for others considering Redis?

If somebody is looking to use Redis, it is much easier and more scalable for making most database queries faster, especially for repeated pages while fetching data. It helps tremendously in handlin...

MongoDB Enterprise Advanced vs Milvus

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Product Reports

Download Milvus product report

Open Source Databases

July 2026

Download Redis product report

July 2026

Also Known As

No data available

Redis Enterprise

Overview

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

Redis offers high-speed, in-memory storage, renowned for real-time performance. It supports quick data retrieval and is used commonly in applications like analytics and gaming.

Renowned for real-time performance, Redis delivers high-speed in-memory storage, making it a favorite for applications needing quick data retrieval. Its diverse data structures and caching capabilities support a broad array of use cases, including analytics and gaming. Redis ensures robust scalability with master-slave replication and clustering, while its publish/subscribe pattern renders it reliable for event-driven applications. The solution integrates smoothly with existing systems, minimizing performance tuning needs. Although documentation on scalability and security could be improved, Redis remains cost-effective and stable, commonly utilized in cloud environments. Enhancing integration with cloud services like AWS and Google Cloud and refining GUI may improve usability.

What are the key features of Redis?

High Speed: In-memory data storage for swift access.
Scalability: Master-slave replication and clustering for growth.
Data Structures: Supports diverse types for varied uses.
Persistence: RDB snapshots and AOF logs ensure durability.
Integration: Seamless integration reduces tuning efforts.

What should users look for in Redis reviews?

Performance: Real-time data retrieval boosts efficiency.
Cost-Effectiveness: Stable, budget-friendly implementation.
Versatility: Suitable for diverse environments and platforms.
Reliability: Ensures data persistence and high availability.

Redis finds application across industries for tasks like caching to improve application performance and speed, minimizing database load. It enables real-time processing for session storage, push notifications, and analytics. As a messaging platform, Redis handles high traffic and supports replication and clustering for cross-platform scalability.

Sample Customers

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

1. Twitter 2. GitHub 3. StackOverflow 4. Pinterest 5. Snapchat 6. Craigslist 7. Digg 8. Weibo 9. Airbnb 10. Uber 11. Slack 12. Trello 13. Shopify 14. Coursera 15. Medium 16. Twitch 17. Foursquare 18. Meetup 19. Kickstarter 20. Docker 21. Heroku 22. Bitbucket 23. Groupon 24. Flipboard 25. SoundCloud 26. BuzzFeed 27. Disqus 28. The New York Times 29. Walmart 30. Nike 31. Sony 32. Philips