Apache Cassandra vs pgvector: Choosing the Right Vector Database for Your Needs

Apache Cassandra and pgvector are two options in the vector database space. A vector database is specifically designed to store and query high-dimensional vectors, which are numerical representations of unstructured data. These databases play a crucial role in AI applications, allowing for more advanced data analysis and retrieval. Both technologies continue to evolve, so it's worth monitoring their progress as you make your decision. Consider Cassandra when handling very large amounts of data across a distributed system, while pgvector is suitable for scenarios where vector search needs to be tightly integrated with traditional relational data.