Pinecone background blur-sm
Pinecone Logo
Pinecone
4.6

( 22 )

Why Findstack is free?
Findstack is free for users because vendors pay us when they receive web traffic and sales opportunities. Findstack directories list all vendors — not just those that pay us so that you can make the best-informed purchase decision possible.
Findstack offers objective and comprehensive comparisons to help you find the best software. We may earn a referral fee when you visit a vendor through our links. Learn more

Pinecone Reviews & Product Details

Pinecone Overview
What is Pinecone?

Pinecone is a managed vector database designed specifically for handling vector embeddings in machine learning applications, enabling efficient similarity search at scale. It provides a simple API for storing and querying vectors, making it easier to build and deploy AI-powered applications that require fast and accurate vector similarity matching, such as recommendation systems, image retrieval, and natural language processing tasks.

Company Pinecone Systems Inc.
Year founded 2020
Company size 11-50 employees
Headquarters San Francisco, California, United States
Social Media
Pinecone Categories on Findstack
Crevio Logo
Crevio
Sponsored
5.0

( 1 )

$29.00/month
Crevio is a platform for creators to sell digital products, services, courses and access to other 3rd-... Learn more about Crevio
Ask Questions about Pinecone
What Pinecone is best for?
How does Pinecone compare to PG Vector?
What are the pros and cons of Pinecone?
Pinecone Product Details
Capabilities
AI
API
CLI
Segment
Small Business
Mid Market
Freelancer
Enterprise
Deployment Cloud / SaaS / Web-Based
Support Chat, Email/Help Desk, FAQs/Forum, Knowledge Base
Training Documentation, Videos, Webinars
Languages English
Pinecone Features
ACID Compliance
Access Controls
Backup and Restore
Cloud Deployment Options
Customizable Dashboards
Data Compression
Data Import/Export
Data Sharding
Developer Tools
Distributed Architecture
Fault Tolerance
Full-text Search
Geospatial Data Handling
High Availability
Hybrid Deployment
Indexing
Integration APIs
Low Latency
Machine Learning Integration
Monitoring and Alerts
Multi-Model Support
On-Premises Deployment
Performance Metrics
Query Optimization
Real-time Data Processing
Replication
Scalability
Security and Encryption
Support for Vector Operations
User Management
Pinecone Media
Pinecone - Pinecone Homepage
Pinecone Screenshots
Pinecone Homepage
Pinecone Homepage
Disclaimer
Our research is curated from diverse authoritative sources and meant to offer general advice. We don’t guarantee that our suggestions will work best for each use-case, so consider your unique needs when choosing products and services. Feel free to share your feedback.
Last updated: September 05, 2025
Pinecone Logo
22 Pinecone Reviews
4.6 out of 5
Small Business (50 or fewer emp.)
Dec 04, 2023
 Source
Overall Rating:
5.0
VJ
Val J.
Founder
Share
"Using Pinecone for Semantic Search"
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. Theirservice is faster and more stable than some open-source alternatives that we considered.

What do you dislike about Pinecone?

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.

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

We use PineCone to accelerate vector search and cachine for nearly all our AI services. It reduces both speed and cost by reducing the need to recompute embeddings,

Small Business (50 or fewer emp.)
Nov 19, 2023
 Source
Overall Rating:
5.0
NG
Nikodem G.
Founder
Share
"Easy and Dependable Vector Database"
What do you like best about Pinecone?

I really appreciate how Pinecone makes it easy to integrate vector search into applications. Its cloud-native setup and simple API mean I don't have to worry about infrastructure issues. Also, the performance is fantastic, even with massive amounts of data, and the low latency is a huge plus.

What do you dislike about Pinecone?

Being relatively new, it lacks some features and integrations compared to more established databases. And, there's a bit of a learning curve to fully leverage its capabilities. Additionally, there are some limitations regarding customization and exportability of vectors outside of Pinecone.

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

Semantic Search: Pinecone excels in understanding the context and meaning of queries, which is essential for accurately retrieving relevant information during meetings. Recommendation Systems: Its ability to handle complex data makes it suitable for suggesting relevant topics or actions based on the meeting's context.

Small Business (50 or fewer emp.)
Nov 17, 2023
 Source
Overall Rating:
5.0
Aleksey S. avatar
Aleksey S.
Backend Team Lead
Share
"Vector database that just works"
What do you like best about Pinecone?

We did a lot of research on vector databases at Refsee.com and tried many things: embedded db into the docker image served at AWS Lambda (believe me, that's not what you want), Milvus, Pinecone etc. We always had problems and necessity of extra tuning before, both with self-hosted OSS dbs and managed ones, but Pinecone really did the trick! It just works!

What do you dislike about Pinecone?

As usual, if you choose managed solution you get a vendor lock. Probably can be costly if you scale and no option for on-prem installation

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

We do vector search over our own datasets – basically a "google images" on our own data

Small Business (50 or fewer emp.)
Nov 16, 2023
 Source
Overall Rating:
5.0
AG
Verified Reviewer
Founder
Share
"A Reliable and Consistent Performance"
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.

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.

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.

Small Business (50 or fewer emp.)
Nov 16, 2023
 Source
Overall Rating:
5.0
YC
Yash C.
Founder
Share
"The fastest in production VectorDB yet"
What do you like best about Pinecone?

The speed. Hands down. QPS and the throughput is just the best in the industry. Easiest to get started with. Good support for parallel processing and batching.

What do you dislike about Pinecone?

Nothing, just could release more complex document related retrieval systems.

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

Semantic search is hands down a new way to search which is extremely efficient. Pinecone does a great job at not only providing the vector DBMS but giving the oppurtunity for scale.

Small Business (50 or fewer emp.)
Nov 16, 2023
 Source
Overall Rating:
5.0
JY
Joseph Y.
Founder
Share
"Ease to use and implementation"
What do you like best about Pinecone?

Quick to signup and implement and use it as daily basis. Performance is stable and very good.

What do you dislike about Pinecone?

I don't have anything bad about Pinecone.

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

We are building the RAG application.

Small Business (50 or fewer emp.)
Nov 15, 2023
 Source
Overall Rating:
5.0
AG
Verified Reviewer
Founder
Share
"Great vector database that has the necessary compliance"
What do you like best about Pinecone?

It's very reliable, easy to set up and has both SOC 2 and HIPAA compliance.

What do you dislike about Pinecone?

No way to see the list of all the IDs in your collection.

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

Handling similarity searches

Small Business (50 or fewer emp.)
Nov 15, 2023
 Source
Overall Rating:
5.0
Jimmie A. avatar
Jimmie A.
Founder & Ceo
Share
"Efficient and user-friendly, Ideal for vector database newcomers"
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.

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.

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.

Small Business (50 or fewer emp.)
Nov 15, 2023
 Source
Overall Rating:
5.0
RD
Rich D.
Founder
Share
"I couldn't be more pleased"
What do you like best about Pinecone?

I have a Pinecone index that I've had to double in size three times now to handle the nearly 10 million vectors I have stored. Despite the increase in size, the search speed has remained constant, and upsert speed has actually increased.

What do you dislike about Pinecone?

This may not be unique to Pinecone, but you need to make sure you figure out your data schema up front because it requires some work to change records at scale if you want to add or modify metadata.

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

Fast speed and fully managed. I don't have to worry about anything other than paying the bill.

Small Business (50 or fewer emp.)
Nov 15, 2023
 Source
Overall Rating:
5.0
James Kwon L. avatar
James Kwon L.
Founder
Share
"User and Developer-friendly Vector Database that has helped our company scale"
What do you like best about Pinecone?

Pinecone has helped our company, fevr.io, scale our semantic chat functionality across three key regional markets. The responsiveness and ease of implementation has been a huge plus for our developers. The documentation has been very helpful as well, especially in terms of integrations with products like OpenAI and Langchain. Add to that, the customer support has been tremendously useful.

What do you dislike about Pinecone?

While not necessarily a negative feedback, having even more research data on how different dimensions and pods affect various responses would be a helpful resource to have as a reference.

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

Storing embeddings of documents is quite costly and difficult to manage. Pinecone solves this with solutions that are easy to implement with OpenAI's API. It allows for rapid prototyping of custom chat models.