LanceDB vs. Vespa
Compare LanceDB vs. Vespa by the following set of capabilities. We want you to choose the best database for you, even if it’s not us.
LanceDB vs. Vespa on Scalability
Yes.
Yes.
No (static data sharding coming soon)
Both
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).
Vespa
Vespa is a scalable search engine with a robust distributed architecture that supports horizontal scaling by adding more nodes. It features automatic sharding and data redistribution, allowing it to efficiently manage large datasets and high query volumes.
LanceDB vs. Vespa on Functionality
Yes (paged tensor attributes)
Yes, vector search & keyword search
Yes, vector search & keyword seach
IVF-PQ, HNSW
(LanceDB adopts a disk-based indexing philosophy.)
HNSW, Hybrid HNSW-IF (Inverted File), paged tensor attributes
Vespa
Vespa is a powerful search engine and vector database that can handle multiple searches simultaneously. It's great at vector search, text search, and searching through structured data.
LanceDB vs. Vespa on Purpose-built
Yes.
Python, Javascript/Typescript, and Rust
Python, Java
LanceDB vs. Vespa: what’s right for me?
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
Vespa
Vespa is a powerful search engine and vector database that can handle multiple searches simultaneously. It's great at vector search, text search, and searching through structured data.
Apache 2.0
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