Pgvector vs. LanceDB
Compare Pgvector vs. LanceDB by the following set of capabilities. We want you to choose the best database for you, even if it’s not us.
Pgvector vs. LanceDB on Scalability
Yes. pgvector enables separation of storage and compute by allowing you to store your application data on one database while storing vectors, lookup values, and filter values on a separate database.
Yes.
No (static data sharding coming soon)
pgvector scalability
You can use a solution like YugaByteDB to extend the capabilities of Postgres for distributed environments.
LanceDB
LanceDB is an open-source vector database that's designed to store, manage, query and retrieve embeddings on multi-modal data. LanceDB and its underlying data format, Lance, are built to scale to really large amounts of data (hundreds of terabytes, 200M+ vectors).
Pgvector vs. LanceDB on Functionality
Performance is the biggest challenge with vector databases as the number of unstructured data elements stored in a vector database grows into hundreds of millions or billions, and horizontal scaling across multiple nodes becomes paramount.
Furthermore, differences in insert rate, query rate, and underlying hardware may result in different application needs, making overall system tunability a mandatory feature for vector databases.
Yes. Sparse & Dense Vectors and Scalar filtering.
Yes, vector search & keyword search
HNSW & IVFFlat
IVF-PQ, HNSW
(LanceDB adopts a disk-based indexing philosophy.)
Pgvector vs. LanceDB on Purpose-built
pgvector is an add-on to Postgres
Use pgvector from any language with a Postgres client
Python, Javascript/Typescript, and Rust
Pgvector vs. LanceDB: what’s right for me?
Pgvector
pgvector is a PostgreSQL extension designed to facilitate the storage, querying, and indexing of vectors within a PostgreSQL database.
License: PostgreSQL License
LanceDB
LanceDB is an open-source vector database that's designed to store, manage, query and retrieve embeddings on multi-modal data. It also provides a SaaS solution called LanceDB Cloud that runs serverless in the cloud.
Apache 2.0