Pinecone
Pinecone: A mature managed vector service with broad search, indexing, and deployment options. Ranked #10 of 27 in Vector Databases by our editors (8.4/10); pricing: Free plan · 21-day trial; best for teams wanting a mature managed vector service.
At a glance
- Editor score8.4 / 10
- PricingFree plan · 21-day trial
- Best forTeams wanting a mature managed vector service
- Free planYes
- DeploymentCloud
- Founded2019 · New York City, New York, United States
- Facts checked22 Sep 2026
Where it wins
- Dense, sparse, full-text, and hybrid search in one service
- Metadata filtering, integrated embeddings, and automatic indexing
- Enterprise options include BYOC, private endpoints, and audit logs
Where it doesn't
- Paid plans start at $20 per month
- Standard and Enterprise have monthly minimum usage
- The product is not open source
Our verdict on Pinecone
Pinecone is a fully managed vector database for engineering teams building AI applications. It stores and retrieves dense and sparse vectors, supports metadata filtering, and provides semantic, lexical, full-text, and hybrid search. Its use cases include retrieval-augmented generation, recommendation systems, semantic search, and AI-agent knowledge retrieval. Official SDKs are available for Python, Node.js, Java, Go, .NET, and Rust, with cloud, API, and self-hosted deployment options listed.
The search feature set is broader than a single semantic-search workflow. Pinecone supports dense-vector semantic search, sparse-vector lexical search, full-text search with BM25 and Lucene queries, and hybrid search that combines keyword and semantic signals. Integrated embedding models, automatic indexing, background algorithm selection, metadata filtering, and namespaces for data organization add options for teams managing different retrieval patterns. Dedicated read nodes are available on the Standard plan and above.
Pricing spans four plans. Starter is free and includes included usage, dense, sparse, and full-text indexes, console metrics, and community support. Builder costs $20 per month with flat monthly pricing, increased usage limits, multiple projects and users, and Prometheus and Datadog monitoring. Standard starts at $50 per month minimum usage and adds pay-as-you-go usage, dedicated read nodes, object-storage imports, backup and restore, RBAC, and SSO. Enterprise starts at $500 per month minimum usage and adds a 99.95% uptime SLA, Bring Your Own Cloud, private endpoints, customer-managed encryption keys, audit logs, and SCIM. Pinecone suits teams seeking a managed service with flexible retrieval capabilities; teams requiring open-source software should choose an alternative.
Your product? Our editors can test Pinecone in depth and publish a review, labelled as paid · from $149/mo →
Pinecone pricing
All 4 Pinecone plans and prices →
Pinecone fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Deployment | Cloud |
| Hybrid search | Yes |
| Metadata filtering | Yes |
| Sparse vectors | Yes |
| Maximum dimensions | Not verified |
| Index types | Ananas, PQFS, IVF with PQFS |
| SDK languages | Python, JavaScript, Java, Go, C# |
| Free trial | 21 days |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | SOC 2, GDPR, HIPAA, SSO/SAML |
| Support | Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan · 21-day trial (source) |
| Website | pinecone.io |
| Facts checked | 22 Sep 2026 |
Alternatives to Pinecone
- ElasticsearchA broad hybrid-search platform for teams adding vectors to mature analytics stacks.9.3
- Vertex AI Vector SearchA managed Google Cloud option for teams building dense, sparse, and hybrid search.9.2
- VikingDBA cloud vector database with dense, sparse, hybrid, filtered, and multimodal retrieval.9.1
See all Pinecone alternatives →
Also Ranked In
Pinecone is ranked in 7 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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