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. 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

1,553 Views
1,431 Comparison Views

100% willing to recommend

Redis

Read 17 Redis reviews

1,076 Views
956 Comparison Views

100% willing to recommend

Pinecone

Redis

Comparison Buyer's Guide

Download the report

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: October 2024).

Buyer's Guide

Pinecone vs. Redis

October 2024

Download the complete report

Helped 815,854 peers since 2012

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

Number of Reviews

Ranking in other categories

NoSQL Databases (8th), In-Memory Data Store Services (1st)

Featured Reviews

Aakash Kushwaha

SDE at Alphablocks

May 20, 2024

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.

Read full review

Chethan Rao S

Software Engineer at Medflix

Apr 17, 2024

Performs much better than traditional databases, integrates well and lot of learning resources available

It improved the performance. For example, data structures like hashmaps in Redis make it a very fast database – much faster than traditional SQL databases. It can perform at significantly higher speeds. Latencies are very low. Our primary focus wasn't on saving money but on improving performance for that specific feature. So, performance has been the key improvement. Every calculation happened in real time. It improved the performance 10X. In our company, we have limited resources, so we can't manage the database ourselves. We use services from Azure for that. So, Redis integrates well with those services. We use Azure Cache for Redis.

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."

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

"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."

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

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

"The product offers fast access to my database."

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

"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."

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

"The most valuable features of Redis are its ease of use and speed. It does not have access to the disc and it is fast."

"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."

"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."

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."

"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."

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

"Pinecone can be made more budget-friendly."

"Onboarding could be better and smoother."

"In future releases, I would like Redis to provide its users with an option like schema validation. Currently, the solution lacks to offer such functionality."

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

"It's actually quite expensive."

"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 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."

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

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

More Redis cons

Pricing and Cost Advice

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

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

"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."

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

"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."

See which vendors are best for you

Use our free recommendation engine to learn which Vector Databases solutions are best for your needs.

See recommendations

815,854 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

17%

Educational Organization

Financial Services Firm

Comms Service Provider

Financial Services Firm

20%

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 improve its efficiency in handling locally stored data, not just Amazon Cloud or Google Cloud. It would be helpful if Redis could provide a one-stop solution for all data varieties, whi...

See all answers

What is your primary use case for Redis?

I used Redis for a one-time implementation while working on a college project. I implemented it locally on a machine and used it for a vector search.

See all answers

Comparisons

OpenSearch vs Pinecone

Compared 37% of the time

Faiss vs Pinecone

Compared 15% of the time

Elastic Search vs Pinecone

Compared 13% of the time

LanceDB vs Pinecone

Compared 9% of the time

Microsoft Azure Cosmos DB vs Pinecone

Compared 2% of the time

More Pinecone Competitors

Amazon SQS vs Redis

Compared 16% of the time

Chroma vs Redis

Compared 13% of the time

OpenSearch vs Redis

Compared 8% of the time

Faiss vs Redis

Compared 7% of the time

Milvus vs Redis

Compared 5% of the time

More Redis Competitors

Product Reports

Buyer's Guide

Pinecone

November 2024

Download Pinecone product report

Buyer's Guide

Oracle Coherence vs. Redis

October 2024

Download Redis product report

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

October 2024

Free Report: Pinecone vs. Redis

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

DOWNLOAD NOW

815,854 professionals have used our research since 2012.

See our Pinecone vs. Redis report.

See our list of best Vector Databases vendors.

We monitor all Vector Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.