Pinecone is great for super simple vector storage, and with the new serverless option the choice is really a no-brainer. I've been using them for over a year now in production, and their Sparse-Dense offering made a huge impact on the quality of retrieval (domain-heavy lexicon). The tutorials and content on site are both extremely well-thought out and presented, and the one or two times I reached out to support they cleared up my misunderstandings in a courteous and quick manner. But seriously, with serverless now, I'm able to offer insane features to users that were cost-prohibitive before. Review collected by and hosted on G2.com.

I can tell you what used to be challenging: which was cost monitoring and the web interface, both issues which have been drastically improved in the recent months. The web interface is still a bit cumbersome to use, but that's only because vector storage/search is not what you would expect coming from other "content" management systems. There isn't a lot of hand-holding like you might find elsewhere, but really—if you're in this space, you do have to do a lot of work on your own anyways. Hard to find something to dislike when it "just works." Review collected by and hosted on G2.com.

It is specialised in AI driven use cases with real time and low latency search giving seamless integration into machine learning workflows with scalable infrastruture optimized for unstructured and semi-structured data in AI applications. Review collected by and hosted on G2.com.

It has limited focus that is related only with the vector data with no major focus on Business intelligence in data transformation tool.

Also it's use case is little complex with lack of ecosystem integration. Review collected by and hosted on G2.com.

Easy to use. very reliable and fast. Competitive price Review collected by and hosted on G2.com.

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.

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.

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.

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

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.

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.

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

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

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

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. Theirservice is faster and more stable than some open-source alternatives that we considered. Review collected by and hosted on G2.com.

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

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.

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.

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.

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.