Senior Engineer at a outsourcing company with 1,001-5,000 employees
Real User
Top 10
Dec 2, 2025
Pinecone perfectly fits my organization's needs based on our use case. The market for vector databases is broad right now, offering many options; however, I don't have experience with other tools and technologies. I would give Pinecone a rating of nine out of ten overall.
Chief Technology Advisor at Kovaad technologies Pvt Ltd
Real User
Top 5
Oct 10, 2025
I would suggest that Pinecone is one of the best options available. I would rank it in the top three for vector databases and qualify it as number one in the market. There are many others such as Weaviate and Milvus, but they come with certain issues such as lacking a free tier or having a very low one. Moreover, solutions like Milvus and FAISS are on-prem, which makes setup and stability a pain, primarily catering to big enterprises. For startups, Pinecone is indeed the best. We are just a client of Pinecone; we do not have any other business relationship. Rating: 4/5
Data Science Trainee at a consultancy with 11-50 employees
Real User
Top 10
May 29, 2024
Pinecone is easy for new users to learn, and I would rate it around eight out of ten. This is because other databases do not have a login system and are not as user-friendly.
As per my advice, assess your data requirements. If you're working with PDF files and do not have much data, you could use other databases because they are similar to Pinecone. However, if you have a huge amount of data, I would suggest using Pinecone as it handles large datasets more efficiently. Pinecone offers a rich UI and managed services, making it easy to use and visualize data, which is a big advantage. However, if the client has a limited budget, I would recommend open-source models and databases instead. I would rate Pinecone an eight out of ten because of its functionality and ease of use despite the cost.
Pinecone and Weaviate are both good choices. If we want to use the solution, we must know how a vector DB works theoretically. Then, we will be able to work with it easily. If we do not know how vector DBs work, we must refer to the documents to insert and get data. Having a basic understanding of vector DBs is helpful. If a beginner goes through the documents, it is very easy to use the product. Overall, I rate the product an eight out of ten.
Everything is good in the solution, including its user interface. Pinecone provides its best facilities for beginners to be able to learn the product, so I think it is an easy and good product to use. I would recommend the product to others, and I would also suggest that it is very important to learn on how things work in Pinecone, especially areas like automation, integrations and secrets detection engine. It is easy to learn about the product since all the information related to the solution is provided to users. Users just need to read the information provided by Pinecone and implement them. I rate the tool an eight out of ten.
The main issue arises when our team members join, and we must guide them, especially those unfamiliar with Pinecone. We assign them a small project to explore the software independently. This helps them overcome any hurdles and gain a deeper understanding of how to utilize Pinecone effectively. However, despite its overall positive aspects, there's room for improvement, particularly in making it more minimalistic and simplifying access to various options. Like many SaaS products, setting it up can be time-consuming. It should provide clear instructions or a step-by-step guide for undertaking small projects independently. Real-time data retrieval is good. However, it used to drop in a while. Overall, it was reliable. We don't require a lot of maintenance on the project. It's a small-scale project, and the scope is specific and small. There haven't been any issues. Two to Three people are enough for the solution's maintenance. I recommend the solution and advise you to explore the documentation and tutorials. It's easy to pick up and integrate. Overall, I rate the solution an eight out of ten.
Full-stack Engineer at a security firm with 201-500 employees
Real User
Top 10
Feb 1, 2024
My company has integrated Pinecone into our machine-learning workflow by using LangChain. My company also uses an OCR feature to detect PDF files, which we added to Pinecone. A chatbot application is the specific AI application for which Pinecone is used in our organization since it provides us with a source of knowledge through RAG. I am unsure if Pinecone's similar search capabilities have enhanced our data analysis since my company is still in the middle of the tool's production phase. If I measure Pinecone's impact on our company's system performance and scalability, I would rate it at an eight on a scale of one to ten. I rate the overall tool an eight out of ten.
Pinecone is a powerful tool for efficiently storing and retrieving vector embeddings. It is highly praised for its scalability, speed, and ease of integration with existing workflows.
Users find it particularly useful for similarity search, recommendation systems, and natural language processing.
Its efficient search capabilities, seamless integration with existing systems, and ability to handle large-scale datasets make it a valuable tool for data analysis and retrieval.
Pinecone perfectly fits my organization's needs based on our use case. The market for vector databases is broad right now, offering many options; however, I don't have experience with other tools and technologies. I would give Pinecone a rating of nine out of ten overall.
I would suggest that Pinecone is one of the best options available. I would rank it in the top three for vector databases and qualify it as number one in the market. There are many others such as Weaviate and Milvus, but they come with certain issues such as lacking a free tier or having a very low one. Moreover, solutions like Milvus and FAISS are on-prem, which makes setup and stability a pain, primarily catering to big enterprises. For startups, Pinecone is indeed the best. We are just a client of Pinecone; we do not have any other business relationship. Rating: 4/5
Pinecone is easy for new users to learn, and I would rate it around eight out of ten. This is because other databases do not have a login system and are not as user-friendly.
As per my advice, assess your data requirements. If you're working with PDF files and do not have much data, you could use other databases because they are similar to Pinecone. However, if you have a huge amount of data, I would suggest using Pinecone as it handles large datasets more efficiently. Pinecone offers a rich UI and managed services, making it easy to use and visualize data, which is a big advantage. However, if the client has a limited budget, I would recommend open-source models and databases instead. I would rate Pinecone an eight out of ten because of its functionality and ease of use despite the cost.
Pinecone and Weaviate are both good choices. If we want to use the solution, we must know how a vector DB works theoretically. Then, we will be able to work with it easily. If we do not know how vector DBs work, we must refer to the documents to insert and get data. Having a basic understanding of vector DBs is helpful. If a beginner goes through the documents, it is very easy to use the product. Overall, I rate the product an eight out of ten.
Everything is good in the solution, including its user interface. Pinecone provides its best facilities for beginners to be able to learn the product, so I think it is an easy and good product to use. I would recommend the product to others, and I would also suggest that it is very important to learn on how things work in Pinecone, especially areas like automation, integrations and secrets detection engine. It is easy to learn about the product since all the information related to the solution is provided to users. Users just need to read the information provided by Pinecone and implement them. I rate the tool an eight out of ten.
The main issue arises when our team members join, and we must guide them, especially those unfamiliar with Pinecone. We assign them a small project to explore the software independently. This helps them overcome any hurdles and gain a deeper understanding of how to utilize Pinecone effectively. However, despite its overall positive aspects, there's room for improvement, particularly in making it more minimalistic and simplifying access to various options. Like many SaaS products, setting it up can be time-consuming. It should provide clear instructions or a step-by-step guide for undertaking small projects independently. Real-time data retrieval is good. However, it used to drop in a while. Overall, it was reliable. We don't require a lot of maintenance on the project. It's a small-scale project, and the scope is specific and small. There haven't been any issues. Two to Three people are enough for the solution's maintenance. I recommend the solution and advise you to explore the documentation and tutorials. It's easy to pick up and integrate. Overall, I rate the solution an eight out of ten.
My company has integrated Pinecone into our machine-learning workflow by using LangChain. My company also uses an OCR feature to detect PDF files, which we added to Pinecone. A chatbot application is the specific AI application for which Pinecone is used in our organization since it provides us with a source of knowledge through RAG. I am unsure if Pinecone's similar search capabilities have enhanced our data analysis since my company is still in the middle of the tool's production phase. If I measure Pinecone's impact on our company's system performance and scalability, I would rate it at an eight on a scale of one to ten. I rate the overall tool an eight out of ten.