Pinecone vs Redis comparison

Pinecone and Redis are both solutions in the Vector Databases category. Pinecone is ranked #6 with an average rating of 8.3, while Redis is ranked #3 with an average rating of 8.8. Pinecone holds a 7.3% mindshare in VD, compared to Redis’s 5.4% mindshare. Additionally, 100% of Pinecone users are willing to recommend the solution, compared to 100% of Redis users who would recommend it.

Pinecone

Read 9 Pinecone reviews

3,250 Views
3,153 Comparison Views

100% willing to recommend

Redis

Read 23 Redis reviews

5,005 Views
2,052 Comparison Views

100% willing to recommend

Pinecone

Redis

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 14, 2025

Redis and Pinecone are database solutions used in different scenarios. Users often favor Redis due to its cost-effectiveness, while Pinecone is preferred for its advanced features like vector searches, which justify its higher price for many users.

Features: Redis is known for its in-memory architecture, which enhances speed and ease of use for real-time data access. It supports a variety of data structures like strings, lists, and sets for efficient operations. Also, Redis offers caching capabilities that reduce access times for frequently requested data. Pinecone, on the other hand, offers managed services that include semantic search and vector database functionalities, suitable for complex data handling. It also supports serverless architecture, providing flexibility and reducing infrastructure management costs.

Room for Improvement: For Redis, users suggest improvements to beginner documentation, better cluster management, and enhanced GUI options. Additionally, there is a desire for improved scalability and support for complex data models. Pinecone users point to the need for better metadata search functionality, more efficient handling of feedback on data deletions, and a pricing model that better aligns with budgets.

Ease of Deployment and Customer Service: Redis is commonly deployed on public and hybrid clouds, with mixed experiences regarding customer support quality, ranging from excellent to limited. Pinecone is also deployed mainly in public clouds and is praised for seamless integration processes. Its technical support is generally well-rated but lacks detailed support interaction specifics.

Pricing and ROI: Redis is open-source, making it cost-effective, especially in self-managed scenarios, with perceived ROI coming from performance enhancements and increased productivity. Pinecone follows a pay-as-you-go model, which some find costly, though its advanced vector database features justify the cost for certain users. Pinecone's ROI benefits include its ability to handle complex data processing and flexible pricing relative to competitors.

To learn more, read our detailed Pinecone vs. Redis Report (Updated: December 2025).

Buyer's Guide

Pinecone vs. Redis

December 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

Pinecone

Ranking in Vector Databases

6th

Average Rating

8.4

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

AI Data Analysis (14th), AI Content Creation (3rd)

Redis

Ranking in Vector Databases

3rd

Average Rating

8.8

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

NoSQL Databases (5th), Managed NoSQL Databases (9th), In-Memory Data Store Services (1st), AI Software Development (17th)

Mindshare comparison

As of January 2026, in the Vector Databases category, the mindshare of Pinecone is 7.3%, down from 8.3% compared to the previous year. The mindshare of Redis is 5.4%, up from 5.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Market Share Distribution
Product	Market Share (%)
Redis	5.4%
Pinecone	7.3%
Other	87.3%

Vector Databases

Featured Reviews

Pradeep Gudipati

Chief Technology Advisor at Kovaad technologies Pvt Ltd

Faced challenges with metadata filtering but have achieved reliable long-term memory for chat applications

We were looking at multiple options for a vector database, and we found Pinecone to be the easiest to integrate into our solution. Plus, it has a very generous free tier, which helps us as a startup. The best features Pinecone offers are quick setup and good indexing for us. The retrieval mechanisms are fast, and the integration with Python as with JavaScript and TypeScript libraries that Pinecone provides are very robust. Authentication is also very good. The namespaces feature allows us to break down or store data for each user separately, reducing interference and maintaining privacy as an important feature. Pinecone has positively impacted our organization by enhancing efficiency for the team, and the long-term effect has been that the chats have become much more personalized due to the memory added through a vector database. We are seeing that the trainees getting trained on the platform are more satisfied with the results or messages generated by AI.

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reviewer2005650

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

Optimize AI projects with reliable data processing while addressing scaling challenges

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 systems. Data persistence and recovery face issues with compatibility across major versions, making upgrades possible but downgrades not active. There's a need for better migration tools to support data movements in a hybrid environment. Concerns exist about licensing and community engagement due to changes in Redis and its forks.

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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

"Pinecone has positively impacted our organization by enhancing efficiency for the team, and the long-term effect has been that the chats have become much more personalized due to the memory added through a vector database."

"The best thing about Pinecone is its private local host feature. It displays all the maintenance parameters and lets us view the data sent to the database. We can also see the status of the CD and which application it corresponds to."

"The semantic search capability is very good."

"The most valuable feature of Pinecone is its managed service aspect. There are many vector databases available, but Pinecone stands out in the market. It is very flexible, allowing us to input any kind of data dimensions into the platform. This makes it easy to use for both technical and non-technical users."

"The product's setup phase was easy."

"The most valuable features of the solution are similarity search and maximal marginal relevance search for retrieval purposes."

"We chose Pinecone because it covers most of the use cases."

More Pinecone pros

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

"I use Redis mostly to cache repeated data that is required."

"Redis has multiple valuable features such as being a free and reliable open-source tool."

"The online interface is very fast and easy to use."

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

"The solution is fast, provides good performance, and is not too expensive."

"It makes operations more efficient. The information processing is very fast, and very responsive. It's all about the technology."

"Redis is a simple, powerful, and fast solution."

More Redis pros

Cons

"I want to suggest that Pinecone requires a login and API key, but I would prefer not to have a login system and to use the environment directly."

"Onboarding could be better and smoother."

"The tool does not confirm whether a file is deleted or not."

"If Pinecone gave us RAG as a service, we'd be more than happy to use that."

"Pinecone can be made more budget-friendly."

"The product fails to offer a serverless type of storage capacity."

"One major issue I have noticed with Pinecone is that it does not allow me to search based on metadata."

"For testing purposes, the product should offer support locally as it is one area where the tool has shortcomings."

More Pinecone cons

"If we use a lot of data, it will eventually cost us a lot."

"I would prefer it if there was more information available about Redis. That would make it easier for new beginners. Currently, there is a lack of resources."

"The initial setup took some time as our technical team needed to familiarize themselves with Redis."

"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."

"It's actually quite expensive."

"The initial setup of Redis was difficult, with a rating of two or three out of ten."

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

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

More Redis cons

Pricing and Cost Advice

"I have experience with the tool's free version."

"The solution is relatively cheaper than other vector DBs in the market."

"I think Pinecone is cheaper to use than other options I've explored. However, I also remember that they offer a paid version."

"Pinecone is not cheap; it's actually quite expensive. We find that using Pinecone can raise our budget significantly. On the other hand, using open-source options is more budget-friendly."

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

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

"Redis is an open-source product."

"Redis is not an overpriced solution."

"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

14%

Financial Services Firm

Manufacturing Company

University

Financial Services Firm

26%

Computer Software Company

11%

Comms Service Provider

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	3
Large Enterprise	8

Questions from the Community

What do you like most about Pinecone?

We chose Pinecone because it covers most of the use cases.

See all answers

What needs improvement with Pinecone?

I give Pinecone a nine out of ten because I hope it provides an end-to-end agentic solution, but currently, it doesn't have those agentic capabilities, meaning I have to create a Streamlit applicat...

See all answers

What is your primary use case for Pinecone?

My main use case for Pinecone is creating vector indexes for GenAI applications. A specific example of how I use Pinecone in one of my projects is utilizing a RAG pipeline where I take text from PD...

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...

See all answers

What needs improvement with Redis?

The disadvantage of Redis is that it's a little bit hard to have too many clusters or too many nodes and create the clusters. The sync between the nodes is easier to implement with Couchbase, for e...

See all answers

What is your primary use case for Redis?

Redis is used for a part of a booking engine for travel, specifically for the front part to get some sessions and information about the sessions. If a customer or user is using the sites in differe...

See all answers

Comparisons

Supabase Vector vs Pinecone

Compared 31% of the time

Microsoft Azure Cosmos DB vs Pinecone

Compared 13% of the time

OpenSearch vs Pinecone

Compared 12% of the time

LanceDB vs Pinecone

Compared 7% of the time

Elastic Search vs Pinecone

Compared 5% of the time

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Oracle Coherence vs Redis

Compared 8% of the time

Red Hat Data Grid vs Redis

Compared 7% of the time

Upstash vs Redis

Compared 7% of the time

Chroma vs Redis

Compared 6% of the time

Microsoft Azure Cosmos DB vs Redis

Compared 2% of the time

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Product Reports

Buyer's Guide

Pinecone

January 2026

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Buyer's Guide

Redis

January 2026

Download Redis product report

Also Known As

No data available

Redis Enterprise

Overview

Pinecone is a powerful tool for efficiently storing and retrieving vector embeddings. It is highly praised for its scalability, speed, and ease of integration with existing workflows.

Users find it particularly useful for similarity search, recommendation systems, and natural language processing.

Its efficient search capabilities, seamless integration with existing systems, and ability to handle large-scale datasets make it a valuable tool for data analysis and retrieval.

Pinecone

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. Airbnb 2. DoorDash 3. Instacart 4. Lyft 5. Pinterest 6. Reddit 7. Slack 8. Snapchat 9. Spotify 10. TikTok 11. Twitter 12. Uber 13. Zoom 14. Adobe 15. Amazon 16. Apple 17. Facebook 18. Google 19. IBM 20. Microsoft 21. Netflix 22. Salesforce 23. Shopify 24. Square 25. Tesla 26. TikTok 27. Twitch 28. Uber Eats 29. WhatsApp 30. Yelp 31. Zillow 32. Zynga

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

Pinecone vs. Redis

December 2025

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