Pgvector vs. KDB.AI
Compare Pgvector vs. KDB.AI by the following set of capabilities. We want you to choose the best database for you, even if it’s not us.
Pgvector vs. KDB.AI 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.
Neither
pgvector scalability
You can use a solution like YugaByteDB to extend the capabilities of Postgres for distributed environments.
KDB.AI
KDB.AI is a scalable vector database.
Pgvector vs. KDB.AI 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 (qFlat and qHNSW)
Yes. Sparse & Dense Vectors and Scalar filtering.
Yes. Hybrid Sparse & Dense Search
HNSW & IVFFlat
Flat, qFlat, IVF, IVFPQ, HNSW, and qHNSW.
KDB.AI
Built by KX, a database provider known for time-series data management, KDB.AI enables developers to bring temporal and semantic context and relevancy to their applications. It supports various search types, including vector similarity search, hybrid sparse and vector search, and Non-Transformed TSS, a similarity search algorithm specific for time series data. It uses Cosine Similarity, Inner Product, and L2 Distance (Euclidean) for similarity metrics.
Pgvector vs. KDB.AI on Purpose-built
pgvector is an add-on to Postgres
Yes.
Use pgvector from any language with a Postgres client
Python
Pgvector vs. KDB.AI: 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
KDB.AI
KDB.AI is a powerful knowledge-based vector database and search engine that allows you to build scalable, reliable AI applications using real-time data.
Proprietary license