Vector pipeline (courtesy of Vercel ) Ever since vector stores and databases took the database market by storm in 2023-24, we ended up with a plethora of specialized vector databases such as Pinecone, Weaviate, Milvus, Qdrant. Many of OLTP databases quickly jumped on the train and added support for vector indexes - notably MongoDB and PostgreSQL - but the actual embeddings are still stored along with other operational data, competing for CPU, RAM and storage resources. Since

Announcing Azure DocumentDB support for seamless database replication and migration from MongoDB and other sources.

We're excited to announce that dsync  now supports Amazon S3 as both a source and destination. This opens up powerful new possibilities for data migration workflows. What This Means for You With S3 support, you can now export data directly from any supported connector - including DynamoDB, Azure Cosmos DB, MongoDB, and PostgreSQL - straight to S3, or import it back just as easily. The process is: Direct : No intermediate storage required Fast : Fully parallelized operations S

For users wanting to explore Cosmos DB or migrate their production workloads from DynamoDB or other databases, Dsync is a perfect solution that makes the process seamless.