A problem that cannot be ignored is that, taking advantage of the wave of enthusiasm for large models, the software market has spawned a large number of vector databases. The quality and performance of the software are uneven, and there are many vector databases in shells. So, how to distinguish whether a vector database really has the capabilities you need, and how to quickly understand and compare the performance and capacity cost gaps of different vector databases?
Not long ago, Zilliz released a new open source vector database performance testing tool - Vector DB Bench . The performance testing tool has built-in connectors for many data sets and various vector databases, allowing users to test the performance of vector databases using standard data sets or their own data sets.
It is worth noting that in the process of developing Vector DB Bench, Zilliz followed four design principles:
First, the test tool must be flexible and extensible. It should support multiple vector database systems, enabling users to easily perform performance tests and compare different options. Furthermore, the tool should have a modular architecture to support adding more vector databases, metrics and custom test scenarios, enabling users to customize the evaluation according to specific requirements.
Second, real load simulation. Benchmarking tools should simulate the user's own workload as a real workload to ensure accurate performance assessment. Simulating real-world use cases and query patterns of consumers can provide insights into database behavior in various situations. Such simulations help measure how the vector database will perform in real-world situations and determine its applicability.