Redis vs Supabase Vector comparison

RedisLabs and Supabase are both solutions in the Vector Databases category. RedisLabs is ranked #4 with an average rating of 8.8, while Supabase is ranked #14 with an average rating of 8.5. RedisLabs holds a 4.9% mindshare in VD, compared to Supabase’s 4.9% mindshare. Additionally, 100% of RedisLabs users are willing to recommend the solution, compared to 100% of Supabase users who would recommend it.

Redis

Read 22 Redis reviews

1,447 Views
1,274 Comparison Views

100% willing to recommend

Supabase Vector

Read 2 Supabase Vector reviews

960 Views
878 Comparison Views

100% willing to recommend

Redis

Supabase Vector

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Executive SummaryUpdated on Mar 5, 2025

Redis and Supabase Vector compete in data management and querying solutions. In performance and scalability, Redis takes the lead with its robustness in high-volume data processing. Features-wise, Supabase Vector appeals more to users who need flexibility and comprehensive support.

Features: Redis's in-memory data storage ensures fast data retrieval, supporting real-time analytics. It excels in advanced caching and speed, reducing latency in applications. Supabase Vector offers vector data management, real-time synchronization, and SQL integration, which increase development versatility and efficiency.

Ease of Deployment and Customer Service: Redis supports cloud-based deployment with managed solutions facilitating scaling, backed by reliable customer service. Supabase Vector requires a broader setup due to its extensive feature set but offers managed services that simplify deployment. It emphasizes ease of integration and personalized customer support.

Pricing and ROI: Redis is cost-competitive, delivering a strong return on investment with its efficient handling of large datasets. Supabase Vector may have a higher initial cost owing to its extensive features, but it provides long-term benefits through enhanced developer productivity and functionality. Redis attracts those focusing on cost and speed, while Supabase Vector justifies its price with its comprehensive offerings.

To learn more, read our detailed Redis vs. Supabase Vector Report (Updated: April 2025).

Buyer's Guide

Redis vs. Supabase Vector

April 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

Redis

Ranking in Vector Databases

4th

Average Rating

8.8

Reviews Sentiment

8.0

Number of Reviews

Ranking in other categories

NoSQL Databases (7th), In-Memory Data Store Services (1st)

Supabase Vector

Ranking in Vector Databases

14th

Average Rating

8.6

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Vector Databases category, the mindshare of Redis is 4.9%, down from 6.5% compared to the previous year. The mindshare of Supabase Vector is 4.9%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases

Featured Reviews

Yaseer Arafat

.Net Developer at Freelance

Unmatched Performance and Scalability for Modern Applications

Redis has room for improvement in a few areas. Enhanced tools for managing and monitoring clusters would be beneficial, as would built-in security mechanisms like advanced encryption and granular access controls. Simplifying setup and configuration could make Redis more accessible to new users. Introducing more enterprise-grade features, such as better multi-tenancy support and improved backup and restore capabilities, would also be advantageous. For the next release, it would be great to see enhanced cluster management tools, native multi-region supports for better data redundancy, integrated analytics for deeper insights, AI and ML integration features, and improved developer experience through enhanced SDKs and tools.

Read full review

Kaustubh Sule

Co-Founder • Full Stack Developer at Padhakoo

Easy to use, and there is no need to get involved in any tedious deployment process

If you are a business building a social media app, there will be thousands of users for every such app. Each user will have a post or something. When multiple users try to hit the like button on your post or try to comment on your post, each of them would be an API request, and Supabase Vector does not charge for them like. The API requests are kind of unlimited. If you compare Supabase Vector to any of the other services like Firebase, AWS, or Azure, all the tools charge per request. From a scalability standpoint, if you are a small-scale startup and you have around 1,00,000 or 2,00,000 users, then Supabase Vector is a perfect choice for you. I have never heard about any scalability issues in the product. Scalability-wise, I rate the solution a ten of ten.

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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 solution's technical support team is good...The solution's initial setup process was straightforward."

"The best thing about Redis is its ability to handle large amounts of data without frequently hitting the database. You can store data in temporary memory, especially for high-volume data."

"The most valuable features of Redis are its ease of use and speed. It does not have access to the disc and it is fast."

"Redis acts as an in-memory search tool that improves the speed of operations."

"Redis is good for distributed caching management."

"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."

"The in-memory data makes it fast."

"The performance of Redis is very fast."

More Redis pros

"The platform's role-level security feature is quite effective for spatial data management."

"The tool is easy to use."

Cons

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

"The tool should improve by increasing its size limits and handling dynamic data better. We use the client ID or associate it with a key for static content. The solution will not be easy for a beginner. Unless you understand SQL data, it will be difficult to understand and use Redis. It also needs to be user-friendly."

"Redis could be improved by introducing a GUI to display key-value pair database information, as it is currently a CLI tool with no visual representation."

"There is a lack of documentation on the scalability of the solution."

"There are some features from MongoDB that I would like to see included in Redis to enhance its overall efficiency, such as the ability to perform remote behaviour. MongoDB is more efficient in handling updates than deletions and is quicker in processing updates, but it can be slower regarding deletions. This can sometimes pose a challenge, especially when dealing with large datasets or frequent data manipulations that involve deletions. In such cases, I often rewrite columns or update values instead of directly deleting data, as it can be more efficient."

"Sometimes, we use Redis as a cluster, and the clusters can sometimes suffer some issues and bring some downtime to your application."

"In future releases, I would like Redis to provide its users with an option like schema validation. Currently, the solution lacks to offer such functionality."

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

More Redis cons

"One area for the solution improvement is the inclusion of more sample code in various programming languages, particularly PHP."

"The support for React Native CLI is an area with certain shortcomings where improvements are required."

Pricing and Cost Advice

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

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

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

"Redis is not an overpriced solution."

"Redis is an open-source product."

"As per the product's regular pricing plans, the tools are available to users for 20 to 25 USD per month."

"The solution's cost is reasonable compared to other solutions."

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

15%

Educational Organization

Manufacturing Company

Comms Service Provider

17%

Computer Software Company

10%

Retailer

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Redis?

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 u...

See all answers

What needs improvement with Redis?

There are a few areas where Redis could improve. The pub-sub capabilities could be optimized to handle network sessions better, as there are challenges with maintaining sessions between clients and...

See all answers

What is your primary use case for Redis?

We use Redis ( /products/redis-reviews ) for several purposes, including ranking, counting, saving, sharing, caching, and setting time-to-live notifications. These functionalities are employed acro...

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What is your experience regarding pricing and costs for Supabase Vector?

The solution's cost is reasonable compared to other solutions. We currently use the standard plan, which costs about $480 annually, and may switch to a full data plan depending on project needs. I ...

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What needs improvement with Supabase Vector?

One area for the solution improvement is the inclusion of more sample code in various programming languages, particularly PHP. Expanding the support for complex transactional queries and enhancing ...

See all answers

What is your primary use case for Supabase Vector?

We use the product primarily to handle data models and API integrations. It simplifies security setup, API documentation generation, and database management.

See all answers

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Compared 5% of the time

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Compared 47% of the time

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Compared 10% of the time

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Compared 10% of the time

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Compared 8% of the time

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Compared 7% of the time

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Product Reports

Buyer's Guide

Redis

April 2025

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Buyer's Guide

Vector Databases

April 2025

Download Supabase Vector product report

Also Known As

Redis Enterprise

No data available

Overview

Redis is a high-performance, scalable, and easy-to-use caching solution that improves application performance. It is also used for session management, real-time analytics, and as a message broker.

Redis's valuable features include its ability to handle large amounts of data quickly, its simplicity and straightforward setup process, and its support for various data structures, providing flexibility for different use cases.

RedisLabs

Supabase Vector offers an efficient way to manage and query vector embeddings, catering to the needs of developers and data scientists seeking scalable solutions for vector-based data handling.

Supabase Vector is designed to streamline the process of storing, managing, and querying vector embeddings, essential for applications like machine learning algorithms and personalized recommendations. Its intuitive API and integration capabilities make it a preferred choice for tech professionals seeking a reliable backend for their vector data requirements. With flexible storage options and robust querying features, it accommodates the dynamic demands of AI-driven projects.

What are its key features?

Seamless Integration: Connects effortlessly with databases, making it simple to incorporate into existing projects.
Scalable Storage: Allows for efficient storage of large volumes of vector data, accommodating growth in usage.
Flexible Queries: Supports complex queries, facilitating advanced data analysis and insights.
Real-Time Updates: Ensures that data remains current with instantaneous updates.
Developer-Friendly: Comes with comprehensive documentation and an intuitive API for ease of use.

What benefits or ROI should users look for?

Increased Efficiency: Streamlines data management, reducing time spent on backend development.
Cost Effectiveness: Offers scalable options that can save on infrastructure and maintenance costs.
Enhanced Accuracy: Delivers precise query results, improving decision-making processes.
Improved Developer Productivity: Simplifies complex tasks, allowing developers to focus on more critical activities.

Supabase Vector can be particularly beneficial in industries such as e-commerce for personalized product recommendations, in finance for fraud detection through pattern analysis, and in healthcare for patient data insights. Its capability to handle diverse sets of embeddings makes it versatile across different sectors needing robust data processing tools.

Supabase

Sample Customers

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

Information Not Available

Buyer's Guide

Redis vs. Supabase Vector

April 2025

Free Report: Redis vs. Supabase Vector

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