Leader, Data Science Practice at a computer software company with 5,001-10,000 employees
MSP
Top 5
2024-04-22T14:04:28Z
Apr 22, 2024
If I have to deploy my application in a scalable environment with lots of data and users, I sometimes need to create multiple instances of my database or have a distributed database across different machines. Using Kubernetes, I can quickly increase the horizontal spread of Milvus because it is containerized and readily available. I don't have to do anything by myself. New users can go to Chroma's 'Get Started' page and follow it like a tutorial. Then, they will be ready to use the solution. Chroma has helped us reduce the overall project post production time. Overall, I rate the solution an eight out of ten.
Vector Databases are specialized systems designed to store and retrieve high-dimensional data, supporting processes like machine learning and artificial intelligence by efficiently handling vectors. Their architecture optimizes similarity search and data analysis, ensuring rapid data access. Vector Databases utilize structures like HNSW and FAISS to manage vectors, facilitating swift similarity searches. By leveraging indexing and retrieval mechanisms, these databases are crucial for...
The solution is very easy to use. Overall, I rate the solution a nine out of ten.
If I have to deploy my application in a scalable environment with lots of data and users, I sometimes need to create multiple instances of my database or have a distributed database across different machines. Using Kubernetes, I can quickly increase the horizontal spread of Milvus because it is containerized and readily available. I don't have to do anything by myself. New users can go to Chroma's 'Get Started' page and follow it like a tutorial. Then, they will be ready to use the solution. Chroma has helped us reduce the overall project post production time. Overall, I rate the solution an eight out of ten.