# Elastic Cloud vs Pinecone

Canonical: https://inetgeek.com/compare/elastic-cloud-vs-pinecone/

Every value below is read from Elastic Cloud's and Pinecone's own documentation. See https://inetgeek.com/methodology/ for how.

## At a glance

| Criterion | Elastic Cloud | Pinecone |
| --- | --- | --- |
| Free tier | No | Yes |
| Pricing model | Hosted: resource-based pricing, pay-as-you-go monthly or prepaid. Serverless: usage-based pricing, pay-as-you-go monthly or prepaid. | Usage-based on the Standard plan, with a $50/month minimum before pay-as-you-go charges apply. |
| Regions | Hosted: 60 regions across AWS, Azure and Google Cloud (also Alibaba Cloud and FedRAMP). Serverless: generally available on AWS, Google Cloud and Azure. | Starter plan is limited to us-east-1. Standard and Enterprise plans support all available regions across AWS, Azure and GCP. |
| Hybrid search (vector + keyword) | Supported — combines vector similarity scores with BM25F text-relevance scores in a single hybrid query. | Supported — combine a keyword signal (BM25 or sparse) with a dense signal at query time, often with reranking. |
| Metadata filtering | Supported — vector search results can be filtered by metadata while preserving approximate nearest neighbor (ANN) search speed. | Supported — Pinecone indexes metadata so a query can include a metadata filter to limit the search. |

## Where they differ

### Free tier

- Elastic Cloud: No ([source](https://www.elastic.co/pricing))
- Pinecone: Yes ([source](https://www.pinecone.io/pricing/))

### Pricing model

- Elastic Cloud: Hosted: resource-based pricing, pay-as-you-go monthly or prepaid. Serverless: usage-based pricing, pay-as-you-go monthly or prepaid. ([source](https://www.elastic.co/pricing))
- Pinecone: Usage-based on the Standard plan, with a $50/month minimum before pay-as-you-go charges apply. ([source](https://www.pinecone.io/pricing/))

### Regions

- Elastic Cloud: Hosted: 60 regions across AWS, Azure and Google Cloud (also Alibaba Cloud and FedRAMP). Serverless: generally available on AWS, Google Cloud and Azure. ([source](https://www.elastic.co/pricing))
- Pinecone: Starter plan is limited to us-east-1. Standard and Enterprise plans support all available regions across AWS, Azure and GCP. ([source](https://www.pinecone.io/pricing/))

### Hybrid search (vector + keyword)

- Elastic Cloud: Supported — combines vector similarity scores with BM25F text-relevance scores in a single hybrid query. ([source](https://www.elastic.co/what-is/vector-search))
- Pinecone: Supported — combine a keyword signal (BM25 or sparse) with a dense signal at query time, often with reranking. ([source](https://docs.pinecone.io/guides/indexes/understanding-indexes))

### Metadata filtering

- Elastic Cloud: Supported — vector search results can be filtered by metadata while preserving approximate nearest neighbor (ANN) search speed. ([source](https://www.elastic.co/what-is/vector-search))
- Pinecone: Supported — Pinecone indexes metadata so a query can include a metadata filter to limit the search. ([source](https://docs.pinecone.io/guides/indexes/understanding-indexes))

## Which should you choose?

Pick Elastic Cloud if Teams that need full-text search and observability on the same underlying engine, or that want the option to self-host later — Elastic's dual identity as a search platform and an observability platform is the actual differentiator against single-purpose competitors.

Pick Pinecone if Teams that want a fully managed vector search product with hybrid search and metadata filtering built in, and don't want to operate the underlying index themselves.

Consider something else: Elastic Cloud — The need is narrowly error tracking or APM — a purpose-built tool is usually simpler to operate than standing up an Elasticsearch cluster for one workload, and Elastic Cloud's per-resource pricing doesn't publish a flat entry price the way single-purpose competitors do.

Consider something else: Pinecone — Cost predictability at small scale matters more than managed convenience — the $50/month Standard minimum applies before any pay-as-you-go usage starts.

## Documented by only one

- Entry paid plan: Pinecone: Builder plan: $20/month flat, for solo developers and small teams. Standard plan is usage-based with a $50/month minimum.
- Self-hostable: Elastic Cloud: Supported

## Questions this comparison answers

**Free tier: Elastic Cloud or Pinecone?**

Elastic Cloud: No
Pinecone: Yes

**Should I choose Elastic Cloud or Pinecone?**

Pick Elastic Cloud if Teams that need full-text search and observability on the same underlying engine, or that want the option to self-host later — Elastic's dual identity as a search platform and an observability platform is the actual differentiator against single-purpose competitors.
Pick Pinecone if Teams that want a fully managed vector search product with hybrid search and metadata filtering built in, and don't want to operate the underlying index themselves.