🧬Infinity Data · Active development

The open-source Pinecone alternative

Infinity Data is an open-source, self-hostable service in Rust that combines approximate nearest-neighbour vector search with analytics tables, for teams that want to own their vector and data layer.

See Infinity Data in the stack →★ View source
// ABOUT PINECONE

Pinecone is a widely-used commercial managed vector database for similarity search and retrieval workloads.

When to consider Infinity Data

▸You want to self-host vector search and keep embeddings on your infrastructure
▸You want vector search and analytics in a single service
▸You prefer an open-source, auditable codebase
▸You want HNSW indexing with cosine, Euclidean and dot-product metrics
▸You want metadata filtering and persisted indexes that reload on boot

Infinity Data vs Pinecone — at a glance

Pinecone
Infinity Data
Licensing
Proprietary / commercial
Open-source (Apache-2.0)
Hosting model
Pinecone is delivered primarily as a vendor-managed service
Self-hosted on your own local, cloud, or hybrid infrastructure
Index
Managed ANN indexing
HNSW approximate nearest-neighbour search
Distance metrics
Cosine, dot product, Euclidean
Cosine, Euclidean and dot-product
Filtering
Metadata filtering
Vector collections with metadata filters
Analytics
Vector-focused
Analytics tables: filter, group-by, aggregate
Maturity
Pinecone is an established, widely-adopted platform
Newer project — active development
// AN HONEST NOTE

Pinecone is a mature managed service with proven scale and operational simplicity. Infinity Data is a newer, self-hosted alternative in active development — benchmark recall, scale and operational effort for your workload before adopting.

Pinecone alternative — FAQ

Is Infinity Data a managed service like Pinecone?
No — Infinity Data is self-hosted. You run it on your own infrastructure, which trades the zero-ops convenience of a managed service for full control over data and cost.
Is Infinity Data free?
Yes — it is open source and free to self-host. You pay only for your own infrastructure.
How mature is Infinity Data?
It is in active development. For large-scale production retrieval workloads, benchmark recall and performance against your requirements first.
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