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    Pinecone Vector Database - Pay As You Go Pricing

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    Sold by: Pinecone 
    Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. The Pinecone Vector Database combines state-of-the-art vector search libraries, advanced features such as filtering, and distributed infrastructure to provide high performance and reliability at any scale. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search.
    Listing Thumbnail

    Pinecone Vector Database - Pay As You Go Pricing

     Info
    Sold by: Pinecone 

    Overview

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    Pinecone serverless is the most popular vector database, used by engineering teams to solve two of the biggest challenges in deploying GenAI solutions - data security and hallucinations - by allowing them to store, search, and find the most relevant information from company data and send only that context to Large Language Models (LLMs) with every query.

    This workflow is called Retrieval Augmented Generation (RAG), and with the Pinecone vector database, it aids in providing relevant, accurate, and fast responses from search or GenAI applications to end users.

    Vector databases are purpose-built for storing and searching through vector embeddings, AI representations of data. This method of information retrieval (IR) is called vector search. Vector search is the new standard for finding the most relevant data for GenAI applications or any kind of search application.

    Pinecone Vector Database Usage-based Billing: Charges are calculated by pod price multiplied by pod count. Invoices reflect total index runtime, rounded to 15-minute increments.

    Learn more about pricing at pinecone.io/pricing

    Highlights

    • The Pinecone serverless vector database is the developer-favorite vector database that is easy to use at any scale, with a large user community. Fully managed vector database with intuitive API, console, and SDKs.
    • The Pinecone serverless vector database provides best-in-class performance with 50x lower cost at any scale. Pinecone delivers fast vector search with filtering, live index updates, and keyword boosting (hybrid search).
    • Pinecone is the most popular vector database for AI search, recommenders, and Retrieval Augmented Generation (RAG) applications. <br><br> Enterprise-grade security and compliance: SOC 2 Type II and HIPAA certified and built to keep data from your Vector Database secure

    Details

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    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Pinecone Vector Database - Pay As You Go Pricing

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.

    Usage costs (1)

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    Dimension
    Cost/unit
    Pinecone Billing Unit
    $0.01

    Vendor refund policy

    Please contact support@pinecone.io 

    Custom pricing options

    Find a fit for enterprise or unique needs with a private offer.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    After creating your organization through the AWS Marketplace and signing into Pinecone, you may need to switch to your new organization. You can do so via the Switch Organization toggle in the left-side panel of the Pinecone console, directly above Settings.

    After accessing your organization, you must create a new project if you wish to create non-starter indexes (docs.pinecone.io/docs/create-project).

    If your AWS organization already has a subscription, please request an organization admin to invite you via the Pinecone console. You do not need to create a new Pinecone organization to join your team.

    This is a fully managed service with technical support included with Standard and Enterprise plans. For more information regarding support SLAs, please see each plan's details on the pricing page (pinecone.io/pricing).

    https://docs.pinecone.io/troubleshooting/how-to-work-with-support 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    10
    In Databases, Embeddings, Generative AI
    Top
    10
    In ML Solutions, Databases & Analytics Platforms
    Top
    10
    In Databases, Databases & Analytics Platforms, Generative AI

    Customer reviews

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    AI generated sentiment from actual customer reviews on AWS and G2
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Serverless Architecture
    Fully managed vector database with no infrastructure to manage
    High-Performance Vector Search
    Provides fast vector search with filtering, live index updates, and keyword boosting (hybrid search)
    Security and Compliance
    Enterprise-grade security and compliance: SOC 2 Type II and HIPAA certified
    Retrieval Augmented Generation (RAG)
    Allows storing, searching, and finding the most relevant information from company data to send to Large Language Models (LLMs) with every query
    Vector Embeddings
    Purpose-built for storing and searching through vector embeddings, AI representations of data
    Vector Database
    Stores, indexes, and searches billions of vector embeddings to power RAG, semantic search, recommender systems, anomaly detection, and more
    Scalability
    Designed to manage billions of embeddings with guaranteed scalability
    Integration
    Allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models
    Performance
    Processes billions of vector data 10x faster than any other solution
    Feature Set
    Provides rich feature sets including sparse & dense embeddings, filtering, range search, and more for high-quality search
    Multi-model Capabilities
    Build modern apps with search, JSON, TimeSeries, Bloom filters, and Graph, and more.
    Scalability and Performance
    Deploy multiple Redis instances on a single cluster node, ensuring operations at scale with up to 99.999% uptime SLA.
    Disaster Resilience
    Protect against data loss with Active-Active geo-replication.
    Cost-effective Architecture
    Save on infrastructure costs and lower total cost of ownership with Auto Tiering and efficient design.
    Vector Database
    Redis Cloud's seamless integration with Amazon Bedrock empowers Generative AI development. Redis Cloud improves GenAI response accuracy and delivers low-latency, high-throughput capabilities. Redis is also a versatile vector database for semantic caching.

    Contract

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    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

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    4.6
    26 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    77%
    15%
    4%
    0%
    4%
    26 AWS reviews
    |
    70 external reviews
    External reviews are sourced from G2  and are not included in the star rating for this product.
    Trevor Sullivan

    Very easy to use, minimal setup effort required

    Reviewed on May 28, 2024
    Purchase verified by AWS

    I decided to use Pinecone DB as the vector database for Amazon Bedrock Knowledge Bases. My application required that I use Retrieval Augmented Generation (RAG) to answer questions about PDF business documents that I have stored in an Amazon S3 bucket. Pinecone DB is incredibly high performance and also offers a free tier, along with centralized billing through AWS Marketplace. I would highly recommend using Pinecone DB!

    Michael

    Great Results!

    Reviewed on Nov 20, 2023
    Purchase verified by AWS

    We recently made the switch to Pinecone database for our vector search needs, and we couldn't be happier with the results! The latencies are lower than we expected, making it a fast and reliable solution for us. Additionally, the metadata filtering works out of the box which is crucial for e-commerce. Overall, we highly recommend Pinecone to anyone in need of an efficient and user-friendly vector search solution.

    Chris K.

    Great Vector Database

    Reviewed on Nov 20, 2023
    Purchase verified by AWS

    Pinecone is a great service for anyone who needs fast and accurate vector search for their applications. I have been using Pinecone for a few months now and I am very impressed by its features and performance.

    It is easy to manage multiple user accounts with Pinecone. I can invite my team members to join my projects and assign them different roles and permissions. I can also monitor their activities and usage through the web console.

    It is good to have a support experience with Pinecone. They have a friendly and responsive team that is always ready to help me with any issues or questions. They also have a comprehensive documentation and a community forum where I can find answers and tips.

    Sam

    Fast &amp; Reliable

    Reviewed on Nov 18, 2023
    Purchase verified by AWS

    The Pinecone pay as you go marketplace offering made it easy for us to quickly get up and running to do our evaluation of the tool. The pricing link to their website in the marketplace description is easy to understand and accurate based on our usage of the tool.

    Alex

    Great for prototype to production

    Reviewed on Nov 16, 2023
    Purchase verified by AWS

    I started using Pinecone with a free account when prototyping a new use case for vector search. Pinecone proved easy to work with and simple to get something working off the ground into the hands of my company. I was quite pleased with the setup process moving to the AWS marketplace as we put this prototype into production. It was simple to add to our existing AWS account, the Pinecone UI connects nicely to our test account so I can switch between production and test with ease - really useful for local development and debugging. Overall found the experience working with Pinecone to be great. There are certain areas that would be great to improve, the Node library was a bit funky when I first started using it (but that was a pre 1.0 version), the dashboard in the UI could add a few additional features to navigate and visualize what is stored in the DB, but those are all minor nice to haves that I'm sure will come. The search quality and reliability has been great and that was most critical to our needs right now.l

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