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Pinecone vs Zilliz Cloud

A side-by-side comparison of Pinecone and Zilliz Cloud, two Vector DB tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Pinecone

Vector DB

Fully-managed serverless vector database for RAG and semantic search.

View Pinecone

Zilliz Cloud

Vector DB

Fully managed vector database service built on open-source Milvus.

View Zilliz Cloud

At a glance

Feature comparison of Pinecone and Zilliz Cloud
AttributePineconeZilliz Cloud
CategoryVector DBVector DB
PricingFREEMIUMFREEMIUM
LicenseProprietaryProprietary
DeploymentCloudCloud
Platforms (differs)APIWeb, API
Model support (differs)Model-agnostic—
Vendor (differs)PineconeZilliz
Capabilities (differs)
  • Vector search
  • Embeddings
  • RAG pipeline
  • Unified search
  • Vector search
  • Embeddings

The honest brief

Pinecone

The zero-ops default: fully managed serverless with no infra to run, so teams ship RAG fast without a platform engineer.

  • No infra to provision or operate
  • Fast time-to-production
  • Low-latency reads at scale
  • Integrates with every major framework
  • No self-host option
  • Cost climbs at large scale
  • Closed source; potential lock-in

Zilliz Cloud

Managed Milvus from its original creators, with GPU-accelerated indexing, tiered storage, and hybrid dense/sparse search built in.

  • Built by Milvus's original creators
  • Free serverless tier, no card required
  • Scales to billions of vectors
  • Auto-scaling with dedicated clusters
  • Multi-cloud (AWS, GCP, Azure)
  • The managed service itself is proprietary
  • Costs grow with compute and scale
  • Vector DB only, not a full RAG stack

When to pick which

Across the signals we compare, Pinecone and Zilliz Cloud differ on platforms:

Platforms
API · Web, API

Their capability lists differ in recorded depth — compare the full lists above before deciding.

Pinecone detailsZilliz Cloud detailsAll Vector DB apps