LanceDB vs. TiDB
Compare LanceDB vs. TiDB by the following set of capabilities. We want you to choose the best database for you, even if it’s not us.
LanceDB vs. TiDB 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).
TiDB
TiDB is designed with scalability as one of its core features. It offers both horizontal and vertical scaling capabilities to handle growing workloads and data volumes.
LanceDB vs. TiDB on Functionality
Yes, vector search & keyword search
Yes, vector search & SQL search
IVF-PQ, HNSW
(LanceDB adopts a disk-based indexing philosophy.)
HNSW
No. HNSW only
TiDB
TiDB offers vector search through its serverless cluster and supports vectors with a maximum dimension of 16,000. The Vector data type in TiDB is designed to store single-precision floating-point numbers (Float32). It only supports cosine distance and L2 distance for similarity measurement.
LanceDB vs. TiDB on Purpose-built
No, vector search is an add-on to TiDB Cloud serverless.
Python, Javascript/Typescript, and Rust
No. TiDB does not provide specific SDKs. Instead, it is designed to be compatible with MySQL, which means TiDB can be used with any language with MySQL client or driver support.
LanceDB vs. TiDB: 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
TiDB
TiDB is an open-source distributed SQL database for OLAP and OLTP workloads. It now offers a vector search capability (in public beta) as an add-on to its SaaS solution, TiDB Cloud Serverless.
Apache 2.0
The Definitive Guide to Choosing a Vector Database
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