PostgreSQL vs Redis comparison

PostgreSQL and Redis are both solutions in the Vector Databases category. PostgreSQL is ranked #6 with an average rating of 8.0, while Redis is ranked #4 with an average rating of 8.8. PostgreSQL holds a 7.9% mindshare in VD, compared to Redis’s 5.7% mindshare. Additionally, 96% of PostgreSQL users are willing to recommend the solution, compared to 100% of Redis users who would recommend it.

PostgreSQL

Read 127 PostgreSQL reviews

10,667 Views
3,840 Comparison Views

96% willing to recommend

Redis

Read 26 Redis reviews

7,107 Views
2,416 Comparison Views

100% willing to recommend

PostgreSQL

Redis

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 15, 2026

PostgreSQL and Redis both compete in the database management systems category, with PostgreSQL having the upper hand due to its comprehensive feature set and versatility.

Features: PostgreSQL stands out with robust indexing, exceptional query optimization, and extensive documentation. It excels in (geo)spatial support, full-text search, and MVCC, making it suitable for a wide range of applications. Redis is highly regarded for its simplicity and speed, offering efficient caching, low latency, and support for simple data types, ideal for real-time applications and session management.

Room for Improvement: PostgreSQL could enhance its NoSQL capabilities and improve distributed replication and user-friendly tools. It also has room for optimization in performance and scalability. Redis, meanwhile, could improve cluster management tools and provide more enterprise-grade features. Enhanced documentation on scalability and high availability options in the noncommercial version are needed.

Ease of Deployment and Customer Service: PostgreSQL provides flexibility with on-premises, hybrid, and cloud deployments, with community-based support. Redis benefits from ease of deployment in public and hybrid cloud environments, leveraging its simplicity, though official customer service varies with the provider.

Pricing and ROI: PostgreSQL's open-source nature eliminates licensing costs, offering significant savings and a high ROI, particularly for startups. Redis is also open-source but can incur higher infrastructure costs due to high RAM usage, yet it remains cost-effective compared to SQL solutions.

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

Buyer's Guide

PostgreSQL vs. Redis

April 2026

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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

7.0

PostgreSQL's open-source nature offers cost savings, quick ROI, and improved performance, beneficial for both startups and growing enterprises.

Sentiment score

7.2

Redis enhances ROI by improving performance, reducing costs, increasing productivity, and ensuring reliable, scalable, and efficient service.

No quotes available

For more quotes and insights, download the PostgreSQL report

It improved API latency from two seconds to 450 milliseconds for P99.

Varuns Ug

Senior software developer at Makemytrip

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 NSIT

SDE 2 at Virtusa

For more quotes and insights, download the Redis report

Customer Service

Sentiment score

6.7

PostgreSQL support is community-driven, with robust third-party services and comprehensive documentation, but lacks centralized official support.

Sentiment score

5.8

Redis is stable and reliable, with helpful support, strong documentation, and often minimal need for direct assistance.

If PostgreSQL is hosted on cloud services such as Amazon RDS or Google Cloud SQL, the support is handled by the cloud provider, who provides automated backups, monitoring, infrastructure management, and technical support tickets.

Ece Ece

Software developer at Student

Overall, we have a very small customer service team and a good engineering team with no overburden or bandwidth issues.

Shobhit Goel

Data Science Architect at publicis Sapient

For more quotes and insights, download the PostgreSQL report

The documentation and community support for Redis are very strong, making troubleshooting quicker.

Varuns Ug

Senior software developer at Makemytrip

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

Rituraj NSIT

SDE 2 at Virtusa

For more quotes and insights, download the Redis report

Scalability Issues

Sentiment score

7.5

PostgreSQL effectively manages scalability with high transaction volumes, excelling in cloud environments and benefiting from cost-effective open-source expansion.

Sentiment score

7.8

Redis excels in horizontal and vertical scaling, offering clustering, sharding, and compatibility with Azure and AWS for enterprise adaptability.

Now, we are doing the same level of transactions in PostgreSQL, around 100,000 transactions, and we are getting good throughput with no latency.

Shobhit Goel

Data Science Architect at publicis Sapient

For more quotes and insights, download the PostgreSQL report

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

I scale Redis horizontally using clustering and sharding, where data is distributed across multiple nodes to handle higher traffic and larger data sets.

Varuns Ug

Senior software developer at Makemytrip

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

Rituraj NSIT

SDE 2 at Virtusa

For more quotes and insights, download the Redis report

Stability Issues

Sentiment score

8.0

PostgreSQL is praised for stability and reliability, outperforming MySQL and often preferred over Oracle for dependable performance.

Sentiment score

7.8

Redis is stable, handles heavy loads, offers high availability, and uses persistence mechanisms, making it a trusted choice.

I have never seen any performance issue in PostgreSQL.

Shobhit Goel

Data Science Architect at publicis Sapient

For more quotes and insights, download the PostgreSQL report

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

Room For Improvement

Users want improved PostgreSQL user-friendliness, query optimization, BI integration, scalability, multi-master replication, and enhanced documentation.

Redis users face challenges with scalability, GUI, documentation, security, and seek enhancements in monitoring, analytics, and multi-tenancy features.

Query optimization improves slow queries by using proper indexes, avoiding unnecessary joins, and using EXPLAIN ANALYZE to inspect query plans.

Ece Ece

Software developer at Student

If I need to increase the dimension to 3,000 or 5,000, that option should be available.

Shobhit Goel

Data Science Architect at publicis Sapient

For more quotes and insights, download the PostgreSQL report

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 itself does not enforce consistency with the primary database, so developers need to carefully design cache invalidation strategies.

Ravi Raushan Kumar

Software Engineer at ValueMomentum

One issue is cache invalidation. Keeping cache data consistent with the source of truth can be tricky, especially in distributed systems.

Varuns Ug

Senior software developer at Makemytrip

For more quotes and insights, download the Redis report

Setup Cost

PostgreSQL is a cost-effective, open-source database offering flexibility, scalability, and optional support, ideal for businesses with budget constraints.

Redis pricing depends on memory, cluster size, and infrastructure, with higher costs than SQL due to RAM usage.

Even with doing 100,000 transactions right now within PostgreSQL, we are happy with PostgreSQL and not seeing that it is expensive or going out of budget.

Shobhit Goel

Data Science Architect at publicis Sapient

For more quotes and insights, download the PostgreSQL report

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 costs are primarily driven by memory consumption and cluster size, since Redis operates in-memory.

Varuns Ug

Senior software developer at Makemytrip

The pricing is reasonable for the performance provided.

Rituraj NSIT

SDE 2 at Virtusa

For more quotes and insights, download the Redis report

Valuable Features

PostgreSQL offers robust geospatial support, extensibility, performance, scalability, and diverse features, making it a highly valued open-source database.

Redis offers low latency, high throughput, and scalability with rich data structures, ideal for real-time applications and caching.

PostgreSQL improves reliability, performance, and scalability in production. Since it is ACID compliant, it ensures that database transactions are safe and consistent, preventing partial data updates, maintaining data integrity, and allowing multiple users to read or write data simultaneously using MVCC.

Ece Ece

Software developer at Student

The best feature is performance, because of which I decided on PostgreSQL.

Shobhit Goel

Data Science Architect at publicis Sapient

For more quotes and insights, download the PostgreSQL report

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

First is its in-memory preference, as Redis is extremely fast, making it ideal for caching and session management where low latency is critical.

Ravi Raushan Kumar

Software Engineer at ValueMomentum

Real API latency improved from around two seconds to approximately 450 milliseconds for P99.

Varuns Ug

Senior software developer at Makemytrip

For more quotes and insights, download the Redis report

Categories and Ranking

PostgreSQL

Ranking in Vector Databases

6th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

127

Ranking in other categories

Open Source Databases (1st)

Redis

Ranking in Vector Databases

4th

Average Rating

8.8

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

NoSQL Databases (4th), Managed NoSQL Databases (6th), In-Memory Data Store Services (1st), AI Software Development (13th)

Mindshare comparison

As of May 2026, in the Vector Databases category, the mindshare of PostgreSQL is 7.9%, up from 4.9% compared to the previous year. The mindshare of Redis is 5.7%, up from 4.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Mindshare Distribution
Product	Mindshare (%)
Redis	5.7%
PostgreSQL	7.9%
Other	86.4%

Vector Databases

Featured Reviews

Shobhit Goel

Data Science Architect at publicis Sapient

High-volume transactions have reduced failures and improve customer service efficiency

The best feature is performance, because of which I decided on PostgreSQL. I have also enabled the PG vector plugin on top of PostgreSQL. I have the opportunity to use two different features and two different flavors in a single product, which is the best thing about PostgreSQL. Initially, we had some hiccups around the performance part, but later we did indexing in PostgreSQL and now it is working very well. Even when we are doing 100,000 transactions in a day, PostgreSQL is working excellently. The interface is another best feature. If I need to do any query, I simply install the plugin on my local, which is pgAdmin. Through pgAdmin, I am able to communicate with PostgreSQL and execute all my SQL queries. I am getting a better UI with PostgreSQL as the backend, which is also one of the best options. PG vector is also very strong from PostgreSQL where I have implemented RAG and on a daily basis, I inject thousands of pages of PDF. More than 100 PDFs are coming into my system and one PDF is around 1,000 pages. We are injecting them into PostgreSQL and converting them into dimensions and inserting them into PG vector. The level of transactions we are doing on a daily basis is substantial, and we are getting very good throughput and low latency from PostgreSQL. When we were doing more than 50,000 transactions in a minute with the previous database, we were getting a lot of latency issues with threads getting blocked and abruptly closed unwantedly. After doing extensive research, we decided to move to PostgreSQL. Now, we are doing around 100,000 transactions in PostgreSQL and we are getting good throughput with no latency.

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Varuns Ug

Senior software developer at Makemytrip

Caching has accelerated complex workflows and delivers low latency for high-traffic microservices

A few features of Redis that I use on a day-to-day basis and feel are among the best are extremely low latency and high throughput. Since Redis is in-memory, it makes it ideal for cases such as caching and rate limiting where response time is critical. TTL expiry support is very useful in Redis as it allows me to automatically evict stale data without manual cleanup, which is something I use heavily in my caching strategy. Another point I can mention is that the rich data structures such as strings, hashes, and even sorted sets are very powerful. I have used strings for caching responses and counters, whereas I have used hashes for storing structured objects. One more feature I can tell you about is atomic operations. Redis guarantees atomicity for operations such as incrementing a counter, which is very useful for rate limiting and avoiding race conditions in distributed systems. Finally, I want to emphasize that Redis is easy to scale and integrate, whether through clustering or using a distributed cache across microservices. Redis has impacted my organization positively by providing default support that is very useful. For metrics, in one of my core systems, introducing Redis as a distributed cache helped me achieve around an 80% cache hit rate, which reduced repeated downstream services. Real API latency also improved from around two seconds to approximately 450 milliseconds for P99. It also helped reduce the load on dependent services and databases, which improved overall system reliability.

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Computer Software Company

11%

Comms Service Provider

10%

Manufacturing Company

Financial Services Firm

24%

Computer Software Company

10%

Comms Service Provider

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	57
Midsize Enterprise	27
Large Enterprise	47

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	6
Large Enterprise	10

Questions from the Community

How does Firebird SQL compare with PostgreSQL?

PostgreSQL was designed in a way that provides you with not only a high degree of flexibility but also offers you a cheap and easy-to-use solution. It gives you the ability to redesign and audit yo...

See all answers

What do you like most about PostgreSQL?

It's a transactional database, so we use Postgres for most of our reporting. That's where it's helping.

See all answers

What is your experience regarding pricing and costs for PostgreSQL?

I purchased from the marketplace, so licensing and pricing cost is acceptable. To be honest, there is a separate team who handles the cost of licensing everything. I have admin access on Azure and ...

See all answers

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...

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What needs improvement with Redis?

Overall, Redis is a powerful and reliable tool, but there are a few areas for improvement. One limitation is that Redis is memory-based, so scaling can become expensive compared to disk-based syste...

See all answers

What is your primary use case for Redis?

My main use case for Redis is caching frequently accessed data to improve performance and reduce database load. For example, I cache API responses and user-related data so that repeated requests ca...

See all answers

Comparisons

Firebird SQL vs PostgreSQL

Compared 16% of the time

MySQL vs PostgreSQL

Compared 8% of the time

MariaDB vs PostgreSQL

Compared 6% of the time

LanceDB vs PostgreSQL

Compared 5% of the time

Chroma vs PostgreSQL

Compared 5% of the time

Product Reports

Buyer's Guide

PostgreSQL

April 2026

Download PostgreSQL product report

Buyer's Guide

Redis

April 2026

Download Redis product report

Also Known As

No data available

Redis Enterprise

Overview

PostgreSQL is a versatile and reliable database management system commonly used for web development, data analysis, and building scalable databases.

It offers advanced features like indexing, replication, and transaction management. Users appreciate its flexibility, performance, and ability to handle large amounts of data efficiently. Its robustness, scalability, and support for complex queries make it highly valuable.

Additionally, PostgreSQL's extensibility, flexibility, community support, and frequent updates contribute to its ongoing improvement and stability.

PostgreSQL

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

Sample Customers

1. Apple 2. Cisco 3. Fujitsu 4. Instagram 5. Netflix 6. Red Hat 7. Sony 8. Uber 9. Cisco Systems 10. Skype 11. LinkedIn 12. Etsy 13. Yelp 14. Reddit 15. Dropbox 16. Slack 17. Twitch 18. WhatsApp 19. Snapchat 20. Shazam 21. SoundCloud 22. The New York Times 23. Cisco WebEx 24. Atlassian 25. Cisco Meraki 26. Heroku 27. GitLab 28. Zalando 29. OpenTable 30. Trello 31. Square Enix 32. Bloomberg

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

Buyer's Guide

PostgreSQL vs. Redis

April 2026

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