Redis vs Supabase comparison

Why PeerSpot?

Redis and Supabase are both solutions in the Vector Databases category. Redis is ranked #4 with an average rating of 8.9, while Supabase is ranked #3 with an average rating of 8.5. Redis holds a 6.8% mindshare in VD, compared to Supabase’s 5.1% mindshare. Additionally, 100% of Redis users are willing to recommend the solution, compared to 100% of Supabase users who would recommend it.

Redis

Read 26 Redis reviews

10,759 Views
3,658 Comparison Views

100% willing to recommend

Supabase

Read 14 Supabase reviews

3,999 Views
3,999 Comparison Views

100% willing to recommend

Redis

Supabase

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 22, 2026

Redis and Supabase Vector operate in the database management category, addressing various niche requirements. Redis excels with its low latency and high throughput in-memory design, making it ideal for caching and real-time applications, while Supabase Vector stands out by integrating SQL with vector search, seamlessly blending traditional and advanced search techniques.

Features: Redis's features include extremely low latency, high throughput due to its in-memory architecture, and robust data structures like strings and hashes. It's known for TTL expiry, which allows automatic cache clearing, and atomic operations that ensure reliable transaction execution. Supabase Vector integrates SQL with vector search, supports PostgreSQL, and offers a structured platform advantageous for complex search queries and efficient handling of both relational and vector data.

Room for Improvement: Redis could enhance its cache invalidation processes, refine memory management, and reduce scaling complexity to minimize reliance on external monitoring tools. Supabase Vector could address its row-level security debugging issues, refine hybrid search capabilities, and provide better documentation for large-scale deployments.

Ease of Deployment and Customer Service: Redis is versatile in hybrid and cloud deployments but often lacks in direct customer service, relying on community support. Conversely, Supabase operates smoothly in both public and private cloud environments, offering structured customer service and streamlined integrations with multiple services.

Pricing and ROI: Redis offers cost-effective open-source deployment but incurs extra costs for managed services based on memory and cluster size. Its free model maximizes performance cost-effectively, achieving strong ROI through scalability. Supabase Vector provides a competitive tier-based pricing model beneficial for startups, with reasonable costs and ROI driven by its ease of use and simplified data management processes.

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

Buyer's Guide

Redis vs. Supabase

August 2026

Download the complete report

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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:

ROI

Sentiment score

7.3

Redis boosts performance and reduces costs, enhancing API latency and productivity while allowing focus on feature development.

Sentiment score

5.3

Supabase Vector boosts efficiency and profitability with faster development, better user engagement, reduced costs, and higher conversion rates.

We reduced the database read load by around 30 to 40 percent and improved API response time by 20 to 30 percent, specifically for frequently accessed endpoints.

RituRaj

SDE 2 at Virtusa

We have seen a positive return on investment from using Redis, mainly through improved application performance, reduced database load, and lower operational overhead.

reviewer2870445

Senior Software Engineer at a consultancy with 1-10 employees

For more quotes and insights, download the Redis report

The dashboard's management made access straightforward for users and super easy to maintain, resulting in very few errors.

Samir Patil

Co-Founder & CTO at Mango Giraffe

We notice significant improvements when measuring metrics such as average response times, which have shifted from 800 milliseconds to 2.5 seconds down to around 200 milliseconds to 800 milliseconds, with click-through rates for recommendations improving by 45 to 70%.

reviewer2848647

Product Engineer at a tech vendor with 11-50 employees

The use of these technologies definitely impacts reducing the time and cost of implementation or deployment.

Alberto Hidalgo

Co-Founder at a tech services company with 1-10 employees

For more quotes and insights, download the Supabase report

Customer Service

Sentiment score

6.4

Redis users rarely need support due to stability, relying on documentation and community, with mixed experiences reported.

Sentiment score

5.4

Supabase users find customer service satisfactory with efficient support and resources, enhancing their platform experience with minimal direct assistance.

By simply referring to their documentation, we have been able to fix our bugs and general issues.

reviewer2870445

Senior Software Engineer at a consultancy with 1-10 employees

Since Redis is quite stable and well-documented, we have not needed much support, but when required, the response has been helpful.

RituRaj

SDE 2 at Virtusa

For more quotes and insights, download the Redis report

I would rate the customer support a nine since they replied quickly and answered my questions properly, which helped me a lot.

Samir Patil

Co-Founder & CTO at Mango Giraffe

I have always been able to solve it out with the help of my community or sometimes YouTube.

FavourEmosivbe

Automation Specialist at a consultancy with 11-50 employees

Community support from helpful developers and engineers provides fast responses on GitHub issues and community forums.

Boya Uday Kumar

Ai Research Enthusiast And Developer at ADP

For more quotes and insights, download the Supabase report

Scalability Issues

Sentiment score

7.8

Redis excels in scalability and efficiency, handling high traffic with clustering and sharding, benefiting enterprise application demands.

Sentiment score

5.6

Supabase excels in small to medium applications but requires optimization for larger scales; free tier benefits startups.

The in-memory architecture provides consistently low-latency access even as data access patterns and request volume increase.

reviewer2870445

Senior Software Engineer at a consultancy with 1-10 employees

Data migration and changes to application-side configurations are challenging due to the lack of automatic migration tools in a non-clustered legacy system.

reviewer2005650

Data Engineer at a photography company with 1,001-5,000 employees

With features such as clustering and replication, it can handle high traffic and a large database very effectively.

RituRaj

SDE 2 at Virtusa

For more quotes and insights, download the Redis report

As we move toward larger scales, such as multi-million vectors, it requires careful engineering to maintain predictable performance.

reviewer2848647

Product Engineer at a tech vendor with 11-50 employees

I have basically used it for small teams, not large teams that need to cover thousands of users.

FavourEmosivbe

Automation Specialist at a consultancy with 11-50 employees

Supabase Vector is highly scalable for small to medium to large scale applications.

Boya Uday Kumar

Ai Research Enthusiast And Developer at ADP

For more quotes and insights, download the Supabase report

Stability Issues

Sentiment score

7.9

Redis is lauded for its stability, reliable caching performance, and robust architecture, supported by strong community and managed services.

Sentiment score

7.6

Supabase Vector is stable and reliable, with occasional downtime in India, mainly due to coding errors, not the platform.

Redis has consistently provided fast and predictable performance, particularly for caching and high-frequency data access scenarios.

reviewer2870445

Senior Software Engineer at a consultancy with 1-10 employees

Redis is fairly stable.

reviewer2005650

Data Engineer at a photography company with 1,001-5,000 employees

For more quotes and insights, download the Redis report

From my experience, Supabase Vector is stable.

Alberto Hidalgo

Co-Founder at a tech services company with 1-10 employees

Achieving the best performance at higher scales depends largely on optimization of queries and indexes.

reviewer2848647

Product Engineer at a tech vendor with 11-50 employees

I basically use it for my web-coded apps and for the RAG agent and it does all of the needs that I want it to do for my project and for my client's project.

FavourEmosivbe

Automation Specialist at a consultancy with 11-50 employees

For more quotes and insights, download the Supabase report

Room For Improvement

Redis users seek improvements in cache management, user interface, observability, scalability, security setup, and cloud integrations for enhanced usability.

Supabase Vector needs improved documentation and support, better performance, scalability, indexing, and enhanced tool integration and language support.

Making security features and enterprise governance capabilities easier to configure out of the box would help organizations adopt Redis more confidently for larger and more critical workloads.

reviewer2870445

Senior Software Engineer at a consultancy with 1-10 employees

Data persistence and recovery face issues with compatibility across major versions, making upgrades possible but downgrades not active.

reviewer2005650

Data Engineer at a photography company with 1,001-5,000 employees

Redis is very reliable, but it could be improved in areas such as monitoring, debugging, and feasibility into memory use.

RituRaj

SDE 2 at Virtusa

For more quotes and insights, download the Redis report

Better query debugging tools and built-in evaluation toolkits for vector search would be incredibly helpful for developers.

reviewer2848647

Product Engineer at a tech vendor with 11-50 employees

If they could make the debugging process clearer to prevent the error messages, that will make development faster for web-coded apps.

FavourEmosivbe

Automation Specialist at a consultancy with 11-50 employees

For index optimization guidance, clearer instructions on when to use IVFFlat versus HNSW indexes would be helpful.

Boya Uday Kumar

Ai Research Enthusiast And Developer at ADP

For more quotes and insights, download the Supabase report

Setup Cost

Enterprise Redis costs vary by deployment model, with self-managed being cost-effective and cloud services charging for memory usage.

Supabase provides flexible pricing with a free tier and paid plans, ensuring scalability and cost efficiency for various projects.

The main value comes from the performance improvements, reduced database load, and increased scalability that Redis provides.

reviewer2870445

Senior Software Engineer at a consultancy with 1-10 employees

Since we use an open-source version of Redis, we do not experience any setup costs or licensing expenses.

reviewer2005650

Data Engineer at a photography company with 1,001-5,000 employees

The pricing is reasonable for the performance provided.

RituRaj

SDE 2 at Virtusa

For more quotes and insights, download the Redis report

It was amazing to be able to create all this technology for free, without the need to pay additional costs to use those technologies, apart from the embeddings ones from Google.

Alberto Hidalgo

Co-Founder at a tech services company with 1-10 employees

For now, I think the pricing is perfect because every business person can afford it and a developer can afford that price.

FavourEmosivbe

Automation Specialist at a consultancy with 11-50 employees

I utilize the free tier, which includes a 500 MB database with vector support at no cost, allowing support for millions of embeddings.

Boya Uday Kumar

Ai Research Enthusiast And Developer at ADP

For more quotes and insights, download the Supabase report

Valuable Features

Redis is preferred for speed and reliability, offering low latency, high throughput, and efficient scaling with minimal configuration.

Supabase Vector offers easy setup, cost-efficiency, PostgreSQL, SQL with vector search, improving database operations through streamlined, secure features.

It functions similarly to a foundational building block in a larger system, enabling native integration and high functionality in core data processes.

reviewer2005650

Data Engineer at a photography company with 1,001-5,000 employees

By offloading frequent reads from the database and enabling fast in-memory cache access, it reduced latency, improved throughput, and helped maintain stability during peak loads.

RituRaj

SDE 2 at Virtusa

The most valuable features include high-speed in-memory data access, flexible data structures, caching capabilities, data expiration and time-to-live management, high availability and scalability, and atomic operations.

reviewer2870445

Senior Software Engineer at a consultancy with 1-10 employees

For more quotes and insights, download the Redis report

We have Supabase basically as the host of most of our business relational database and user data, so since the client's applications are migrating to language model-empowered features, it is very useful, and we do not need to register for other database types.

Daniel Pan

Director at a tech services company with 1-10 employees

Supabase Vector is a managed service, so I do not need to worry about scaling the database and managing the infrastructure.

reviewer2849445

Senior Full Stack Engineer at a tech vendor with 11-50 employees

Supabase Vector has positively impacted my organization by significantly reducing our testing time.

Samir Patil

Co-Founder & CTO at Mango Giraffe

For more quotes and insights, download the Supabase report

Categories and Ranking

Redis

Ranking in Vector Databases

4th

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)

Supabase

Ranking in Vector Databases

3rd

Average Rating

8.6

Reviews Sentiment

5.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the Vector Databases category, the mindshare of Redis is 6.8%, up from 4.8% compared to the previous year. The mindshare of Supabase is 5.1%, down from 9.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Mindshare Distribution
Product	Mindshare (%)
Supabase	5.1%
Redis	6.8%
Other	88.1%

Vector Databases

Featured Reviews

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.

Read full review

Boya Uday Kumar

Ai Research Enthusiast And Developer at ADP

Semantic search has transformed client sites and drives faster projects with higher conversions

Adapting to Supabase Vector was relatively smooth, but there was definitely a moderate learning curve at the start. The SQL foundation, REST API, documentation, and integration with all the AI tools made it easier. However, understanding embeddings, index types, similarity metrics, and how SQL and vector hybrid queries work, as well as the RLS policies for vectors, required some time to learn. I do not have many things to point out, but a couple of areas for improvement come to mind. For index optimization guidance, clearer instructions on when to use IVFFlat versus HNSW indexes would be helpful. Additionally, having a built-in embedding generation capability would simplify the workflow, as currently, I use external services such as OpenAI or Hugging Face for that purpose.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

23%

Computer Software Company

Comms Service Provider

University

Comms Service Provider

13%

Manufacturing Company

10%

Outsourcing Company

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	1
Large Enterprise	8

Questions from the Community

What needs improvement with Redis?

Making management easier, especially for teams operating large Redis clusters, would be helpful. More advanced built-in observability, performance insights, and automated recommendations would help...

See all answers

What is your primary use case for Redis?

Redis is used primarily as a caching layer to provide a high-performance caching solution that improves application response times and reduces load on backend services and databases. We use it main...

See all answers

What advice do you have for others considering Redis?

There are a couple of things to consider when using Redis. It is a supporting layer, not a main database. Identifying specific use cases where Redis can provide the most value, such as caching, ses...

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

In this basic implementation or proof of concept project, I use the basic Supabase project available in the free trial. I am not sure which one of those options it falls under, but I use the free S...

See all answers

What needs improvement with Supabase Vector?

When setting up a database, a PostgreSQL instance, which is the most popular use of Supabase, instead of having to go and write and run an SQL line to create a pgvector on Supabase, it would be nic...

See all answers

What is your primary use case for Supabase Vector?

As an AI Engineer, my primary use case of Supabase Vector is for storing vector databases that I use at retrieval and inference in my AI agent and RAG pipelines. I have been working with RAG soluti...

See all answers

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Product Reports

Buyer's Guide

Redis

August 2026

Download Redis product report

Buyer's Guide

Supabase

August 2026

Download Supabase product report

Also Known As

Redis Enterprise

No data available

Overview

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.

Redis

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

August 2026

Free Report: Redis vs. Supabase

Find out what your peers are saying about Redis vs. Supabase and other solutions. Updated: August 2026.

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