Pinecone vs Redis comparison

Pinecone and RedisLabs are both solutions in the Vector Databases category. Pinecone is ranked #6 with an average rating of 8.0, while RedisLabs is ranked #4 with an average rating of 8.8. Pinecone holds a 8.6% mindshare in VD, compared to RedisLabs’s 5.7% 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

1,732 Views
1,585 Comparison Views

100% willing to recommend

Redis

Read 21 Redis reviews

1,168 Views
1,047 Comparison Views

100% willing to recommend

Pinecone

Redis

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Pinecone and Redis based on real PeerSpot user reviews.

Find out in this report how the two Vector Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Pinecone vs. Redis Report (Updated: December 2024).

Buyer's Guide

Pinecone vs. Redis

December 2024

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Helped 831,020 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

6th

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Redis

Ranking in Vector Databases

4th

Average Rating

8.8

Reviews Sentiment

8.1

Number of Reviews

Ranking in other categories

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

Mindshare comparison

As of January 2025, in the Vector Databases category, the mindshare of Pinecone is 8.6%, up from 8.0% compared to the previous year. The mindshare of Redis is 5.7%, down from 7.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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.

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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 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."

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

"The semantic search capability is very good."

"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."

"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."

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

"Redis is good for distributed caching management."

"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."

"It is particularly efficient for cloud-based storage and operations."

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

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

"The ability to fetch and save data quickly is valuable."

More Redis pros

Cons

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

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

"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."

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

"Pinecone can be made more budget-friendly."

"Onboarding could be better and smoother."

"The solution's pricing for a local installation is very expensive."

"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."

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

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

"It's actually quite expensive."

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

"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."

"For the PubSub feature, we had to create our own tools to monitor the events."

More Redis cons

Pricing and Cost Advice

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

"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."

"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."

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

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

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

"Redis is an open-source product."

"Redis is not an overpriced solution."

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Top Industries

By visitors reading reviews

Computer Software Company

17%

Financial Services Firm

10%

Comms Service Provider

Educational Organization

Financial Services Firm

21%

Computer Software Company

16%

Educational Organization

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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?

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. Additionally, better documentation is neede...

See all answers

What is your primary use case for Redis?

I use Redis as a tool in building projects, specifically for in-memory caching. My backend API uses Redis to cache information retrieved from the database.

See all answers

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Compared 37% of the time

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Compared 10% of the time

Microsoft Azure Cosmos DB vs Pinecone

Compared 4% of the time

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Compared 13% of the time

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Compared 8% of the time

OpenSearch vs Redis

Compared 7% of the time

Red Hat Data Grid vs Redis

Compared 4% of the time

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Also Known As

No data available

Redis Enterprise

Learn More

Pinecone

RedisLabs

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.

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.

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 2024

Free Report: Pinecone vs. Redis

Find out what your peers are saying about Pinecone vs. Redis and other solutions. Updated: December 2024.

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