Pinecone vs Redis comparison

Pinecone and RedisLabs are both solutions in the Vector Databases category. Pinecone is ranked #7 with an average rating of 8.0, while RedisLabs is ranked #4 with an average rating of 8.7. Pinecone holds a 7.6% mindshare in VD, compared to RedisLabs’s 4.8% mindshare. Additionally, 100% of Pinecone users are willing to recommend the solution, compared to 100% of RedisLabs users who would recommend it.

Pinecone

Read 6 Pinecone reviews

2,939 Views
2,939 Comparison Views

100% willing to recommend

Redis

Read 23 Redis reviews

4,801 Views
1,824 Comparison Views

100% willing to recommend

Pinecone

Redis

Comparison Buyer's Guide

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Executive SummaryUpdated on Sep 11, 2025

Redis and Pinecone are competitors in the database services category. Redis holds an advantage in real-time application performance, while Pinecone excels in handling high-dimensional data for semantic searches.

Features: Redis is known for its high-speed access due to its in-memory data store, making it ideal for applications needing real-time data retrieval. It provides various data structures like strings, lists, and hashes, enhancing application efficiency. Redis also offers robust options for data persistence, ensuring reliability. Pinecone stands out with its managed services and high-dimensional data support, suitable for semantic search applications. It is flexible, accepting a wide range of data inputs and is easy for both technical and non-technical users.

Room for Improvement: Redis could benefit from improved documentation and better scalability solutions, such as enhanced cluster management. It also needs advanced security features and multi-tenancy support. Pinecone could become more budget-friendly and improve the speed of search response and feedback mechanisms. A more intuitive onboarding process would also help new users acclimate more easily.

Ease of Deployment and Customer Service: Redis offers various deployment options across clouds and on-premises environments, but its customer support could be improved for better engagement. Pinecone, while also flexible in deployment choices, may need improved navigation support despite receiving positive feedback for its customer service.

Pricing and ROI: Redis is cost-effective, especially as an open-source solution, leading to potential productivity gains and cost savings. Its managed services offer predictable costs while providing scalability. Pinecone employs a pay-as-you-go model, making it competitive among vector databases, though initial costs may be higher. Despite this, Pinecone is seen as valuable for specific use cases due to its tailored options.

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

Buyer's Guide

Pinecone vs. Redis

July 2025

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Helped 867,349 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

Pinecone

Ranking in Vector Databases

7th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Redis

Ranking in Vector Databases

4th

Average Rating

8.8

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

NoSQL Databases (7th), Managed NoSQL Databases (9th), In-Memory Data Store Services (1st)

Mindshare comparison

As of September 2025, in the Vector Databases category, the mindshare of Pinecone is 7.6%, down from 8.8% compared to the previous year. The mindshare of Redis is 4.8%, down from 5.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Market Share Distribution
Product	Market Share (%)
Redis	4.8%
Pinecone	7.6%
Other	87.6%

Vector Databases

Featured Reviews

Aakash Kushwaha

SDE at Alphablocks

Helps retrieve data, relatively cheaper, and provides useful documentation

Suppose I want to delete a vector from Pinecone or a multi-vector from a single document. Pinecone does not provide feedback on whether a document is deleted or not. In SQL and NoSQL databases, if we delete something, we get a response that it is deleted. The tool does not confirm whether a file is deleted or not. I have raised the issue with support. If we have 10,000 vectors in our index and do not use a metadata tag, it will take one to three seconds to complete a search. When I try to search using a metadata tag, the speed is still the same. The search speed must be much faster because I specify which vectors I need the data from.

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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

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"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."

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

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

"The product's setup phase was easy."

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

"The performance of Redis is very fast."

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

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

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

"The in-memory data makes it fast."

More Redis pros

Cons

"Onboarding could be better and smoother."

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

"Pinecone can be made more budget-friendly."

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

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

"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."

"It's actually quite expensive."

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

"The only thing is the lack of a GUI application. There was a time when we needed to resolve an issue in production. If we had a GUI, it would have been easier."

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

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

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

"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."

More Redis cons

Pricing and Cost Advice

"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 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."

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

"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."

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

"Redis is not an overpriced solution."

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Top Industries

By visitors reading reviews

Computer Software Company

16%

Financial Services Firm

Manufacturing Company

Comms Service Provider

Financial Services Firm

24%

Computer Software Company

13%

Educational Organization

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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 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.

See all answers

What is your primary use case for Pinecone?

I've used Pinecone to streamline token generation for my chatbot's functionality. Specifically, I used it for the OpenNeeam Building.

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 27% of the time

OpenSearch vs Pinecone

Compared 22% of the time

Microsoft Azure Cosmos DB vs Pinecone

Compared 13% of the time

LanceDB vs Pinecone

Compared 8% of the time

DataStax Enterprise vs Pinecone

Compared 4% of the time

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Red Hat Data Grid vs Redis

Compared 11% of the time

Oracle Coherence vs Redis

Compared 10% of the time

Chroma vs Redis

Compared 9% of the time

ScyllaDB vs Redis

Compared 6% of the time

InfluxDB vs Redis

Compared 3% of the time

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Product Reports

Buyer's Guide

Pinecone

August 2025

Download Pinecone product report

Buyer's Guide

Redis

August 2025

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.

RedisLabs

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

July 2025

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