Maybe some extra features would be nice, and some more clarity into its AKNN algo, which is hidden from the user Review collected by and hosted on G2.com.

Satwik L.

Freelancer

Small-Business (50 or fewer emp.)

9/10/2024

"Pinecone assistant beta user"

5/5

What do you like best about Pinecone?

I have been using pinecone for embeddings and it is cheaper and reliable compared to other embedding services. Review collected by and hosted on G2.com.

What do you dislike about Pinecone?

I dislike the overall feel which feels lightweighed for the product service documentation. I love to see pinecone assistant in deployable version because it is powerful yet it is in the beta version only for testing not for production Review collected by and hosted on G2.com.

Akhil G.

Freelancer

Small-Business (50 or fewer emp.)

9/11/2024

"God of creating embeddings"

4/5

What do you like best about Pinecone?

when iam creating embeddings,compared to other products,it feels hassle free& cheap. Review collected by and hosted on G2.com.

What do you dislike about Pinecone?

I am the beta tester of pinecone AI assiatant,it is not production ready so it feels like only for testing,i am expecting for the production ready version. Review collected by and hosted on G2.com.

Alejandro S.

Software Engineering Manager

Mid-Market (51-1000 emp.)

3/27/2024

"A fast service that allowed us to implement RAGs in a brink"

4.5/5

What do you like best about Pinecone?

I like their pace of innovation because they allowed us to start testing RAGs since the beginning and they have been enabling new use cases since. This is a team that grows with our platform and that keeps us up to date. Review collected by and hosted on G2.com.

What do you dislike about Pinecone?

One thing we had to do is add additional destinations to our internal systems, and building the synchronization flows was the most difficult part of it. Review collected by and hosted on G2.com.

Alok K.

Co-Founder

Small-Business (50 or fewer emp.)

4/22/2024

"Best and affordable vector database"

5/5

What do you like best about Pinecone?

Pinecone's new serverless pricing is very affordable for small startups. It supports large embedding sizes, sparse & dense embedding, and fast queries. It suited my needs. Review collected by and hosted on G2.com.

What do you dislike about Pinecone?

It has a 10,000 namespace limit on serverless instance. It should be increased. Review collected by and hosted on G2.com.

Val J.

Small-Business (50 or fewer emp.)

12/4/2023

"Using Pinecone for Semantic Search"

5/5

What do you like best about Pinecone?

Pinecone made it easy for my team to significantly accelerate our AI services through vector search. While vector databases have become more commonplace, they continue to introduce new features to stay on the cutting edge and add support new applications. The service is easy to setup and maintain. Their service is faster and more stable than some open-source alternatives that we considered. Review collected by and hosted on G2.com.

What do you dislike about Pinecone?

While Pinecone can be hosted on both GCP and AWS, it would be great if they also supported Azure. We have tested both and had the highest uptime when running PineCone on AWS. Review collected by and hosted on G2.com.

Itamar N.

CTO

Small-Business (50 or fewer emp.)

3/27/2024

"I really like the product and satisfied from the ease-of-use and performance"

4.5/5

What do you like best about Pinecone?

I like the ease-of-use. Super easy to build index, populate with data and test it. Review collected by and hosted on G2.com.

What do you dislike about Pinecone?

Some security-related features are missing.

We need VPC peering in GCP, in order to unlock deals with companies that require this feature.

Also, Serverless in GCP is missing. Review collected by and hosted on G2.com.

Verified User in Computer Software

Small-Business (50 or fewer emp.)

11/16/2023

"A Reliable and Consistent Performance"

5/5

What do you like best about Pinecone?

Pinecone has been a game-changer for our company, especially in the realm of vector embeddings. What stands out the most is its robust performance and reliability. Over the six months of our usage, we have not encountered any downtime, which is crucial for our operations. The consistency in performance has been remarkable, ensuring that our data-driven processes run smoothly and efficiently. Its seamless integration have made it an indispensable tool in our tech stack. Review collected by and hosted on G2.com.

What do you dislike about Pinecone?

As of now, we haven't encountered any significant issues or drawbacks with Pinecone. It has met all our expectations and requirements efficiently. However, we are always on the lookout for new features and improvements that can further enhance our experience and capabilities with the platform. Review collected by and hosted on G2.com.

What problems is Pinecone solving and how is that benefiting you?

Pinecone has been instrumental in efficiently managing vector embeddings, a critical component in our applications like similarity search and recommendation systems. Its scalability and consistent performance, coupled with zero downtime, have significantly improved our operational efficiency and user experience. By simplifying infrastructure management and enabling rapid integration, Pinecone has allowed us to focus on core business functions, accelerating development cycles and enhancing overall service quality. This reliability and efficiency have been key to maintaining high service levels and staying competitive in our market. Review collected by and hosted on G2.com.

Jimmie A.

Founder & CEO

Small-Business (50 or fewer emp.)

11/15/2023

"Efficient and user-friendly, Ideal for vector database newcomers"

5/5

What do you like best about Pinecone?

I recently started using Pinecone and was impressed with how user-friendly it is, especially for someone new to vector databases. Its standout feature is its focus on doing one thing exceptionally well. The documentation is clear and easy to follow, making the setup process smooth. Both indexing and query times are impressively fast, which significantly enhances efficiency. I chose Pinecone over other options because it supports larger vector sizes, a key requirement for my needs. Highly recommend Pinecone for its simplicity, speed, and capabilities. Review collected by and hosted on G2.com.

What do you dislike about Pinecone?

There are a couple of areas where Pinecone could improve. First, the options for datacenter hosting are limited. For instance, if using AWS, it currently only supports the us-east-1 region, which can be restrictive. Second, the console lacks robust security measures for critical actions. Adding a Multi-Factor Authentication (MFA) verification for deleting indexes and projects would enhance security and prevent accidental data loss. Review collected by and hosted on G2.com.

What problems is Pinecone solving and how is that benefiting you?

Pinecone plays a crucial role in our workflow by efficiently storing vectors from OpenAI Embeddings. This capability allows us to effectively identify and link related content across various features of our platform. The result is a more cohesive and intuitive user experience, as we can seamlessly connect relevant information and offerings. This not only enhances our platform's functionality but also significantly improves user engagement and satisfaction. Review collected by and hosted on G2.com.

Cristian V.

Data Scientist

Small-Business (50 or fewer emp.)

11/16/2023

"fast and easy to setup vector database"

4.5/5

What do you like best about Pinecone?

The things I mostly like are:

- that is easy to set up by following the docs

- fast for loading and updating embeddings in the index

- easy to scale if needed Review collected by and hosted on G2.com.

What do you dislike about Pinecone?

- that is not open source

- I cannot query the full list of ids from an index (I needed to build a database and a script to track what products I have inside the index)

- customer support by mail takes too much time Review collected by and hosted on G2.com.

What problems is Pinecone solving and how is that benefiting you?

I built a deep learning model for product matching in the ecommerce industry. One of the steps for the system is to find candidates that are potential matches for the searched product. Because of this, I needed a vector database to store the embeddings (texts and image) for the products for doing a similarity search as a first step of the product matching system. Review collected by and hosted on G2.com.