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Reviews from AWS customer

27 AWS reviews

External reviews

42 reviews
from and

External reviews are not included in the AWS star rating for the product.


    Carlos Ocanto

Great and simple solution

  • November 15, 2023
  • Review from a verified AWS customer

At one point we tried using OpenSearch since our application is solely hosted in AWS, but we found it to be too expensive and troublesome to setup and maintain. Pinecone was a great help for us since everything is quite easy, the latency is good (less than one second to do vector comparisons, our dataset has millions of observations), and is less expensive than Opensearch (also the pricing is more straight-forward).

There are some extra functionalities we would like to have in pinecone, like getting all results from a query that are above a certain threshold (and not just top_k) but that is minor. I think it is a pretty solid option for vector search applications.


    Nick

Quick setup, fast vector queries

  • November 15, 2023
  • Review from a verified AWS customer

The setup process was quick and easy to follow, and being able to manage billing through our existing AWS account is a bonus. We have found Pinecone easy to use and very performant.


    Anil

Pinecone AWS Marketplace review

  • November 15, 2023
  • Review from a verified AWS customer

Pinecone API is straightforward and well-documented, making it easy to get started with. Pinecone can handle large-scale vector search tasks while maintaining speed and accuracy. Pinecone has a great developer community which helps in getting support for any major issues quickly

Integration into AWS marketplace makes it easy for us to keep all the billing systems in one place


    Perfect vector database

Great vector database

  • November 15, 2023
  • Review from a verified AWS customer

We've been exploring a perfect, scalable and high-performance vector database for months. Our search finally ended when we came across Pinecone. Pinecone was able to meet our expectations and our business needs.


    Nhat

Easy to setup and maintain

  • November 15, 2023
  • Review from a verified AWS customer

I would highly recommend Pinecone to those who want to have a vtdb solution for your application. Very straight forward
1) easy to setup and maintain
2) Low Latency Experience (gRPC)
3) hybird search is good to improve performance
4) good documentation and youtube tutorials for those who are knew


    ebvjr

One of the good vector database

  • November 14, 2023
  • Review from a verified AWS customer

Pinecone is one easy-to-use vector database right now and currently using it on production. just create a project and it will create the vector database. my only suggestion is VPC peering or a private link and more locations on AWS since right now you can only deploy it on us-east-1.


    Mario Rodrigues

All the needed features

  • November 14, 2023
  • Review from a verified AWS customer

We've been using Pinecone as your vector DB solution for several months now. It has served us well. The setup was smooth and we were able to implement their API is a very short time. As our AI usage has grown, Pinecone has scaled well for us and continue to benefit our use-case greatly. Highly recommend.


    Matt T

Blazing Fast

  • November 14, 2023
  • Review from a verified AWS customer

I like PInecone because it's relatively easy to use compared to its competitors and its a fully-managed vector database solution, so you can use it in production without worry. The API is not difficult. It returns similarity scores extremely fast, which has relieved us of the need to do it in our code (which is much slower).


    Santhosh

Fast VectorDB and Easy to Use

  • November 14, 2023
  • Review from a verified AWS customer

We are using pinecone since a couple of months, we found its fast, easy to use, it has great client library. Ingestion and retrieval speed is great. Collections are great way to backup vector dbs .


    Matteo

Easy, powerful and so far unique

  • November 14, 2023
  • Review from a verified AWS customer

We've been using Pinecone as primary store for sparse / dense vectors in several business cases since some months.
We also did a direct comparison with other solutions but so far Pinecone stands as our selection of choice.

PROs
- Cloud-base managed "as a service" solution: zero installation/maintenance effort
- Easy to implement thanks to outstanding documentation
- Best in class performances
- So far "unique" hybrid search proposition (dense=semantic and sparse=keyword vectors support)

CONs
- Management tools still not mature/complete and evolving
- Basic access control / profiling mechanisms
- Basic logging tools
- Base price for smallest index still a little high for small business cases

Generally speaking you cannot expect to find in a vector DB (which is a quite recent class of tools) the same maturity of a RDBMS, in terms of completeness of the solutions and availability of tools.
Said that, Pinecone sticks to its core job and does it smoothly, no complains so far from our side.
A pleasant plus is the huge and very comprehensive documentation available, which covers a lot of background theory as well.

We are not giving the 5th star since the product is still young, but the direction it the correct one!