Leader, Data Science Practice at a computer software company with 5,001-10,000 employees
MSP
Top 5
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 designed to store and manage vectorized data, enabling efficient searching and similarity calculations through complex data structures such as indexes. They cater to high dimensional data analysis needs.These databases store data in vector format, making them well-suited for AI applications, recommendation systems, and natural language processing. They utilize indexing techniques like HNSW or IVF Flats to facilitate rapid searches through millions of data points. Their...
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.