TiDB vs. Vespa
Compare TiDB vs. Vespa by the following set of capabilities. We want you to choose the best database for you, even if it’s not us.
TiDB vs. Vespa on Scalability
Yes.
Yes.
Both
Both
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.
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.
TiDB vs. Vespa on Functionality
Yes (paged tensor attributes)
Yes, vector search & SQL search
Yes, vector search & keyword seach
HNSW
HNSW, Hybrid HNSW-IF (Inverted File), paged tensor attributes
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.
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.
TiDB vs. Vespa on Purpose-built
No, vector search is an add-on to TiDB Cloud serverless.
Yes.
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.
Python, Java
TiDB vs. Vespa: what’s right for me?
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
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
The Definitive Guide to Choosing a Vector Database
Overwhelmed by all the options? Learn key features to look for & how to evaluate with your own data. Choose with confidence.