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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.


    Shane P

Hands down the best managed Vector DB solution.

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

Beautiful and easy to use interface. Easy provisioning. An awesome python SDK that makes integration a breeze. Pinecone is hands down the easiest way to leverage Vector DBs in your application. We are using it as a knowledge base to power an LLM integration, but it truly is a more powerful and NLQ-based search index, and I'd use it as a replacement for OpenSearch or ElasticSearch too, not just for LLM apps.


    Lucien

Nice and easy to use

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

I am using Pinecone for my LLM-based app and switching to the Pay As You Go worked seamlessly. It's actually cheaper than hosting the solution.


    Mikkel

Vector DB startup done right.

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

Pinecone is not the cheapest vector DB, but it is the easiest and they work with conviction towards improving developer experience and in the last 8 months I've used them strides has been made. Their python SDK has in many ways been plug and play for us when building out our MVP. Pinecone has been vital in adding features to our site fast and will be integral for us in our continuous development of future features.


    Sharmila Shaik

Exceptional Performance and Scalability - A Review of Pinecone on the AWS Marketplace

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

Pinecone is an exceptional vector database that has exceeded my expectations in terms of performance, scalability, and ease of use. The integration with AWS has been seamless, making it incredibly easy to set up and get started with Pinecone. The documentation is clear and concise, and the support team is always available to answer any questions that I have.

One of the standout features of Pinecone is its ability to handle large-scale, high-dimensional vector datasets without compromising on speed or accuracy. The indexing and search capabilities are lightning-fast, allowing me to retrieve results in real-time and make quick, data-driven decisions.

Overall, I highly recommend Pinecone to anyone looking for a powerful and reliable vector database solution. It has certainly helped me streamline my workflow and improve the efficiency of my data-driven projects.


    Bryan Marin- Balloon

Speed and Ease of Use

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

I’ve tried a few different vector database services and they were all much much more difficult to get started on and didn’t provide the speed that Pinecone has. Docs are extremely easy to follow and api is well designed.


    Review

Feedback about Pinecone

  • November 08, 2023
  • Review from a verified AWS customer

Performance is quite good for vector storage and retrieval. I feel that cost is bit at higher side. We need to know have better visibility of new features coming into future releases.


    Rajan G.

Best vector DB

  • October 26, 2023
  • Review provided by G2

What do you like best about the product?
- Its retrieval process is good compared to other vector DB
- We can visualize it in UI
What do you dislike about the product?
It could have been open source which can make it easily usable with high demand.
What problems is the product solving and how is that benefiting you?
Doc search and embedding storage and text retrival


    Jay

Product Doesn't Complete Registration

  • September 06, 2023
  • Review from a verified AWS customer

You can subscribe to the product, but when you click the register link to continue setting up the product, it just errors with a "registration token missing" error. I tried in multiple accounts, no luck. Also, the cost is very vague.


    Prashanth D.

Vector Database

  • August 05, 2023
  • Review provided by G2

What do you like best about the product?
Pinecone used for indexing or searching of duplicate documents or similarity search score with our query. It helps to detect the anamolies easily. Mostly i liked this database to store my data as a vector form.
What do you dislike about the product?
Pinecone premium subscription for various indexes and pods control.
What problems is the product solving and how is that benefiting you?
Helps me to easily upsert vectorized data to pinecone vector Db.