Migrations
Zilliz Cloud provides migration options from external sources such as Milvus, Elasticsearch, and pgvector, as well as cross-cluster migrations within the same or different organizations, enabling efficient data integration and management.
Migrate from Milvus [READ MORE]
Milvus is an open-source vector database optimized for scalable similarity search and AI applications. Known for its high performance and ease of use, it is widely used for managing large-scale vector data.
Migrate from Pinecone [READ MORE]
Pinecone is a vector database that allows for similarity searches. Migrating data from Pinecone to Zilliz Cloud can enhance capabilities for managing both dense and sparse vectors while taking advantage of Zilliz Cloud’s high-performance search and analytics.
Migrate from Qdrant [READ MORE]
Qdrant is a vector database that provides similarity search capabilities. Migrating data from Qdrant to Zilliz Cloud allows users to leverage Zilliz Cloud's advanced search and analytics features while maintaining compatibility with the multi-vector structure supported by Qdrant.
Migrate from Elasticsearch [READ MORE]
Elasticsearch is a highly scalable search and analytics engine known for its speed and flexibility in handling large volumes of data. By leveraging Zilliz Cloud's migration capabilities, you can seamlessly transfer data from your Elasticsearch instances to your Zilliz Cloud cluster.
Migrate from PostgreSQL [READ MORE]
PostgreSQL](https//www.postgresql.org/) is a robust, open-source, object-relational database engine renowned for its extensibility, data integrity, and performance. By utilizing the [pgvector extension, PostgreSQL gains the capability to store and manage vector data.
Migrate from Tencent Cloud [READ MORE]
Tencent Cloud VectorDB is a vector database solution designed for similarity searches. Migrating data from Tencent Cloud VectorDB to Zilliz Cloud allows users to take advantage of Zilliz Cloud's enhanced capabilities for vector analytics and scalable data management.