LanceDB vs Vespa

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.

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LanceDB vs. Vespa on Scalability

LanceDBVespa

Separation of storage and compute

Yes.

❌

Separation of query and insertions

❌

Yes.

Multi-replication

❌

Dynamic segment placement vs. static data sharding

No (static data sharding coming soon)

Both

Cloud-native

❌

Billion-scale vector support

❌

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

LanceDBVespa

Role-based Access Control (RBAC)

❌

Disk Index support

❌

Yes (paged tensor attributes)

Hybrid Search (ie Scalar filtering)

Yes, vector search & keyword search

Yes, vector search & keyword seach

Partitions/namespaces/logical groups

❌

Index type supported

IVF-PQ, HNSW

(LanceDB adopts a disk-based indexing philosophy.)

HNSW, Hybrid HNSW-IF (Inverted File), paged tensor attributes

Multiple in-memory indexes support

❌

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

LanceDBVespa

Purpose-built for Vectors

❌

Yes.

Tunable consistency

❌

Support for both stream and batch of vector data

❌

Binary Vector support

❌

Multi-language SDK

Python, Javascript/Typescript, and Rust

Python, Java

Database rollback

✔️

❌

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