Pinecone vs Zilliz Cloud comparison

Pinecone and Zilliz are both solutions in the Vector Databases category. Pinecone is ranked #6 with an average rating of 8.0, while Zilliz is ranked #22. Additionally, 100% of Pinecone users are willing to recommend the solution.

Pinecone

Read 6 Pinecone reviews

1,553 Views
1,431 Comparison Views

100% willing to recommend

Zilliz Cloud

46 Views
39 Comparison Views

Pinecone

Zilliz Cloud

Comparison Buyer's Guide

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Executive Summary

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

Find out what your peers are saying about Elastic, Chroma, Meta and others in Vector Databases.

To learn more, read our detailed Vector Databases Report (Updated: November 2024).

Buyer's Guide

Vector Databases

November 2024

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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

Zilliz Cloud

Ranking in Vector Databases

22nd

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

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.

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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:

Pricing and Cost Advice

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

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

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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

No data available

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.

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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.

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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.

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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

More Pinecone Competitors

No data available

Product Reports

Buyer's Guide

Pinecone

November 2024

Download Pinecone product report

Buyer's Guide

Vector Databases

November 2024

Download Zilliz Cloud product report

Learn More

Pinecone

Zilliz

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.

A fully managed vector database and data services, empowering you to unlock the full potential of unstructured data for your AI applications. We have re-engineered Milvus for better performance, lower TCO, and greater accessibility. Run applications anywhere with global and multi-cloud reach, starting with built-in data security and high resilience. Connect and transform your unstructured data with a single platform that is well-integrated into the data and AI ecosystem.

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

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Find out what your peers are saying about Elastic, Chroma, Meta and others in Vector Databases. Updated: November 2024.

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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.