Logo of Pinecone

Pinecone

Website LinkedIn

Last updated on

Company health

Employee growth
24% increase in the last year
Web traffic
10% decrease in the last quarter
Financing
July 2023 - $138M

Ratings

G2
4.6/5
(36)
Glassdoor
5.0/5
(5)

Pinecone description

Pinecone is a cloud-based database designed specifically for AI applications. Unlike traditional databases, it focuses on storing and quickly searching through "vectors," which are mathematical representations of data like text, images, or audio. This allows companies to build AI features that can, for example, instantly find the most relevant information from millions of documents, power accurate recommendation systems, or analyze complex patterns. Pinecone manages all the technical aspects, so developers can focus on building their applications without worrying about infrastructure.


Who is using Pinecone?


Who is Pinecone best for

Pinecone is a cloud-based vector database tailored for AI applications. It allows developers to easily store and search through vectors, enabling features like powerful semantic search and recommendation systems. Users praise its speed, ease of use, and excellent support, while some note limitations in ecosystem integration and pricing for smaller projects.

  • Best for startups and smaller companies needing AI-powered search.

  • Ideal for software companies developing AI applications.


Pinecone features

Supported

Pinecone offers tools for creating, managing, and optimizing indexes, including features like upserting, querying, and metadata filtering.

Supported

Pinecone supports vector similarity search with its API and k-NN algorithm.

Supported

Pinecone allows for both vertical and horizontal scaling in the cloud.

Supported

Pinecone allows scaling database capacity up via vertical and horizontal scaling.

Qualities

We evaluate the sentiment that users express about non-functional aspects of the software

Value and Pricing Transparency

Neutral
-0.14

Customer Service

Strongly positive
+0.75

Ease of Use

Strongly positive
+0.93

Reliability and Performance

Strongly positive
+0.93

Ease of Implementation

Strongly positive
+0.91

Scalability

Rather positive
+0.53

Pinecone reviews

We've summarised 36 Pinecone reviews (Pinecone G2 reviews) and summarised the main points below.

Pros of Pinecone
  • Excellent for AI/ML applications and similarity search.
  • Hassle-free and cheap embedding creation.
  • Reliable and fast with competitive pricing.
  • High performance with upsert and search in milliseconds.
  • Simple integration via API and deployment.
  • Incredible support.
  • Useful metadata features.
  • Serverless indexes simplify maintenance and scaling.
  • Free limited indexes for development.
  • Affordable serverless pricing for startups.
  • Supports large embeddings, sparse & dense embeddings, and fast queries.
  • Great user interface and learning resources.
  • Easy workflow integration.
  • Fast and stable with good uptime.
  • Seamless, high-performance vector search.
  • Real-time updates and scalability.
  • Effortless workflow integration and top-notch support.
  • Sparse-Dense offering improves retrieval quality.
  • Excellent documentation and tutorials.
  • User-friendly, especially for vector database newcomers.
  • Good documentation and Python SDK.
  • Production-ready with low latency.
  • Good integration with AI/LLM ecosystem.
  • Responsive and easy implementation.
  • Helpful documentation and integrations with OpenAI and Langchain.
  • SOC 2 and HIPAA compliant.
Cons of Pinecone
  • Limited ecosystem integration and complex use cases.
  • Pinecone Assistant is not production-ready.
  • Documentation feels lightweight.
  • Limited clarity on AKNN algorithm.
  • Limited metadata documentation and single-stage queries.
  • Smart bot support is less effective than alternatives like ChatGPT.
  • Occasional downtime.
  • Pricing can be steep for smaller projects.
  • 10,000 namespace limit on the serverless instance.
  • Difficult metadata management.
  • Web interface needs improvement.
  • Limited data center location options and lack of MFA.
  • Inaccurate search results for semantic queries.
  • No Azure support.
  • No easy way to export all vectors.
  • Tricky pricing structure.
  • Limited features and integrations compared to established databases.
  • Learning curve to fully leverage capabilities.
  • Customization and vector exportability limitations.

Pinecone pricing

The commentary is based on 16 reviews from Pinecone G2 reviews.

Pinecone's pricing is available through various plans: Starter (free), Standard (from $25/month), and Enterprise (from $500/month). Usage-based pricing applies to serverless indexes, inference, and Pinecone Assistant features. Additional support plans are available as add-ons.

Users sentiment

Strongly positive
+0.71

See the Pinecone pricing page.

  • Pinecone has a free plan.

  • Pinecone has a free trial.

Starter
Free

For trying out and for small applications. Includes limited usage for serverless indexes, inference, and Pinecone Assistant. Offers console metrics and community support.

Standard
$25 per month

For production applications at any scale. Includes usage credits, unlimited serverless, inference, and assistant usage, choice of cloud and region, import from object storage, multiple projects and users, RBAC, backups, Prometheus metrics, and free support.

Enterprise
$500 per month

For mission-critical production applications. Includes everything in Standard, plus a 99.95% uptime SLA, single sign-on, Private Link, customer-managed encryption keys, audit logs, and Pro support.


Pinecone alternatives

  • Logo of Qdrant
    pinecone vs Qdrant
    Find similar vectors fast. Scales and handles complex AI data.
    Read more
  • Logo of Chroma Vector Database
    Chroma Vector Database
    Open-source AI-native embedding database for lightning-fast similarity search.
    Read more
  • Logo of MyScale
    MyScale
    AI-powered vector database searchable with SQL. Scale easily.
    Read more
  • Logo of Azure AI Search
    Azure AI Search
    Cloud search that understands your data, boosting findability.
    Read more
  • Logo of Orb
    Orb
    Automated billing platform for usage-based pricing and subscriptions.
    Read more
  • Logo of Built
    Built
    Plan, manage, and visualize your workforce with ease.
    Read more

Pinecone FAQ

  • What is Pinecone and what does Pinecone do?

    Pinecone is a vector database built for AI applications. It allows efficient storage and search of vectors, which are mathematical representations of data like text and images. This enables building AI features such as semantic search, recommendation systems, and anomaly detection. Pinecone's managed service simplifies infrastructure management for developers.

  • How does Pinecone integrate with other tools?

    Pinecone integrates seamlessly with various tools through its API. It's known for easy integration with OpenAI and Langchain, simplifying AI/LLM application development. Its serverless architecture further streamlines workflow integration. However, some users have noted limitations in its overall ecosystem integration compared to more established databases.

  • What the main competitors of Pinecone?

    Top Pinecone competitors include Weaviate, Faiss, Milvus, and Vespa. These alternatives offer similar vector database capabilities for AI applications, focusing on efficient similarity search and scalability. They provide developers with tools to build AI-powered features like semantic search and recommendation systems.

  • Is Pinecone legit?

    Pinecone is a legitimate and safe vector database specializing in AI applications. User reviews praise its speed, scalability, and ease of use, especially for similarity search and AI/ML tasks. However, some users mention limitations in ecosystem integration and pricing.

  • How much does Pinecone cost?

    Pinecone pricing is not publicly available. Contact Pinecone directly to determine if Pinecone product pricing and plans meet your needs.

  • Is Pinecone customer service good?

    Pinecone's customer support receives positive feedback, described as "incredible," "proactive," "smart," and "courteous." Users appreciate the helpful documentation and quick responses to inquiries. While their support bot may not always be as effective as alternatives, the human support team excels.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

NEW: Introducing Gralio Screen Buddy

An AI tool that observes your work, finds inefficiencies, and suggests smarter ways to do things. Maybe you can use your tools better, automate tasks, or switch software.

For Individuals
Streamline your daily tasks, get helpful AI tips, and find the right tools for your workflow.
For Businesses
See how your team really works, uncover automation opportunities, and get software recommendations tailored to your processes.