Upstash Vector

Qdrant Cloud is a serverless, cloud-hosted managed vector database with auto-sharding, scaling, pay-per-use pricing, automated backups, advanced filtering, and multi-region deployments. Tailored for enterprise RAG and high-scale production AI applications. Delivers easier operations than self-hosted Milvus or Qdrant, with superior performance vs Zilliz in complex queries.

Amazon Aurora Serverless v2 is a cloud-hosted, serverless relational database (Postgres/MySQL compatible) with pgvector support for managed vector workloads, featuring auto-scaling compute/memory, pay-per-use pricing, automated backups, and multi-AZ/multi-region high availability. Suited for enterprise RAG via Amazon Bedrock Knowledge Bases and production AI apps. Provides easier operations than self-hosted Milvus or Postgres, deeply integrated with AWS unlike standalone Zilliz.

AstraDB is a serverless, cloud-hosted vector database built on Cassandra, offering fully managed infrastructure with auto-scaling, auto-sharding, pay-per-use pricing, automated backups, and multi-region/multi-cloud deployments. Ideal for enterprise RAG pipelines, production AI applications, and hybrid vector-wide-column workloads. Provides easier operations than self-hosted Milvus, with greater durability compared to Zilliz.

Momento Vector Index is a serverless, cloud-hosted vector database with managed auto-scaling infrastructure, pay-per-use pricing, real-time backups, and low-latency retrieval for billions of vectors. Suited for enterprise RAG, production AI apps like semantic search and recommendations. Offers simpler operations than self-hosted Milvus, with more transparent pricing than Zilliz or Pinecone.

Turbopuffer is a serverless, cloud-hosted vector database with managed paged storage, auto-scaling HNSW indexes, deterministic pay-per-use pricing, metadata filtering, and backups. Optimized for enterprise RAG and production AI apps with long-term, cost-efficient storage at scale. More economical operations than self-hosted Milvus or Zilliz Cloud for massive indexes.

Fully managed serverless vector DB with pay-per-query pricing and auto-scaling for multimodal AI apps. Supports Python/TS/Rust SDKs, hybrid search, auto-indexing. Seamless from OSS LanceDB; ideal for production RAG without ops overhead vs. self-hosted alternatives.