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What is known so far comes from the other direction:
These projects were analysed and named pgvectorscale among their alternatives. The relationship is not symmetric — how pgvectorscale rates them is a separate judgement, made when pgvectorscale is analysed in its own right.
calls pgvectorscale “Choose when you want DiskANN-based vector search in Postgres for billions of vectors.”
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
calls pgvectorscale “choose as a performance-boosting extension for pgvector inside Postgres when existing pgvector is too slow.”
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
calls pgvectorscale “Choose when you want to scale pgvector in Postgres with DiskANN-style indexing, complementing pgvector rather than replacing it with a standalone DB.”
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
calls pgvectorscale “Postgres extension for DiskANN-based vector search; choose to scale pgvector on Postgres.”
A lightweight, lightning-fast, in-process vector database
calls pgvectorscale “Postgres extension that adds DiskANN vector search on top of pgvector; choose it in Postgres when you need more scale than pgvector alone.”
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
calls pgvectorscale “Postgres extension adds DiskANN-scale vector search, but only for vectors and assumes pgvector already.”
The AI search platform