Milvus vs. Pinecone

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Milvus
Score 0.0 out of 10
N/A
Milvus is an open source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility.N/A
Pinecone
Score 8.7 out of 10
N/A
Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. It combines state-of-the-art vector search libraries, advanced features such as filtering, and distributed infrastructure to provide high performance and reliability at any scale.
$0.01
per hour
Pricing
MilvusPinecone
Editions & Modules
No answers on this topic
Enterprise
$0.01
per hour
Offerings
Pricing Offerings
MilvusPinecone
Free Trial
NoNo
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
MilvusPinecone
Considered Both Products
Milvus

No answer on this topic

Pinecone
Features
MilvusPinecone
Vector Database
Comparison of Vector Database features of Product A and Product B
Milvus
-
Ratings
Pinecone
7.5
Ratings
5% below category average
Vector Data Connection00 Ratings10.00 Ratings
Attribute Management00 Ratings10.00 Ratings
Data Import/Export00 Ratings5.00 Ratings
Data Sharing and Collaboration00 Ratings5.00 Ratings
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User Ratings
MilvusPinecone
Likelihood to Recommend
-
(0 ratings)
10.0
(0 ratings)
Usability
-
(0 ratings)
9.0
(0 ratings)
User Testimonials
MilvusPinecone
Likelihood to Recommend
No answers on this topic
Similarity search and ranking are fundamental capabilities, and Pinecone just has this nailed. Almost every application, especially those that talk to LLMs, can use this feature, and there is no reason to reinvent it or use anything more complicated or "full stack" than Pinecone. Pinecone is a powerful tool in this space.
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Pros
No answers on this topic
  • Adding a vector (of course) and we are able to add arbitrary metadata with it.
  • Similarity search, ranking and metadata retrieval.
  • The webui/console tools are nice when debugging/confirming something. Above-average tooling in this regard.
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Cons
No answers on this topic
  • Pinecone has come a long way (we have been using it for years). While the tooling used to have some rough edges, I can't really complain these days.
  • Migrating an entire database from one AWS zone to another basically required a full data dump and reload. That could be improved. I have not tried AWS=>GCP=>Azure replications/migrations, but suspect they are not yet well supported, and that would be helpful.
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Usability
No answers on this topic
It is lean and covers all the bases. I am sure there are one or two things that could be better, so 9 instead of 10.
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Alternatives Considered
No answers on this topic
We selected Pinecone because they had much more startup-friendly pricing.
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Return on Investment
No answers on this topic
  • When our product had a primitive search, we were lambasted by users, and we embraced Pinecone to fill an urgent need for something better. Over the years, it has become a wired-in foundation for more than a few product features.
  • The money we didn't spend creating and maintaining something "like" Pinecone has been one of our best investments.
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ScreenShots

Pinecone Screenshots

Screenshot of Pinecone App