Key Features of Vector Databases
Scalability: Ability to handle large datasets and scale across multiple nodes.
Performance: Fast indexing and query response times.
APIs and SDKs: Comprehensive API suites for integration with various programming languages.
Security: Features like role-based access control and data encryption.
Different Types of Vector Databases
Pinecone
Features: Fully managed service, real-time data ingestion, low-latency search.
Pros: High performance, easy to use.
Cons: Not open-source, cannot run locally.
Use Cases: Large-scale ML applications, real-time recommendation systems.
- Milvus