In the capital market, 2022 is also a turbulent year, and major vector database companies have completed a new round of financing at the level of tens of millions of dollars. It is foreseeable that 2023 will be a year when vector databases continue to develop rapidly, and it will also be a year when this emerging technology matures from development to maturity. Here is a horizontal comparison of five popular vector databases, Milvus, Qdrant, Waeviate, Pinecone, and ElasticSearch.
| Name |
The kite |
Quadrant |
Weaviate |
Pinecone |
Elasticsearch |
| describe |
A DBMS designed for efficient storage of vector data and vector similarity searches |
A high-performance vector database with neural network or semantic-based matching |
An AI-na |