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

Apache Cassandra and pgvector are two popular options in the vector database space. Both technologies have evolved from traditional databases to include vector search capabilities, enabling efficient similarity searches on high-dimensional data. Key differences between them include their search methodology, data handling, scalability, flexibility, integration, ease of use, cost considerations, and security features. Cassandra is well-suited for large-scale systems that require distributed architecture and vector similarity searches at scale, while pgvector offers a more accessible entry point into vector search for teams already familiar with relational databases. The choice between these technologies should depend on specific use cases, data volume, existing technology stack, and team expertise.