Find the Right
Vector Database

Azure Cosmos DB provides globally distributed cloud-hosted vector operations using DiskANN algorithm, with serverless auto-scaling, GPU optimization, and native Azure integrations for low-latency queries. Suited for enterprise RAG and global search applications with <20ms latencies and multi-region replication. Delivers 43x lower costs than Pinecone and superior integration vs Zilliz Cloud.

AWS OpenSearch Service delivers cloud-hosted vector operations with k-NN search powered by HNSW, Faiss, and Lucene, featuring auto-scaling clusters and GPU support via EC2 integration. Ideal for enterprise RAG pipelines and global search, it seamlessly integrates with AWS services like S3, Lambda, and SageMaker. Compared to Pinecone, offers hybrid search and lower costs; outperforms Zilliz Cloud in managed OpenSearch scalability.

Baseten delivers cloud-hosted GPU-accelerated vector operations for embedding models and LLMs, with auto-scaling deployments, Rust-optimized clients for high-throughput batching, and integrations across AWS, GCP, Azure. Perfect for enterprise RAG preprocessing and global-scale inference pipelines. Offers 12x better embedding throughput than standard clients, superior to Pinecone in GPU efficiency and more flexible than Zilliz Cloud.

Coveo offers cloud-hosted vector operations for enterprise AI search and discovery, with auto-scaling, hybrid semantic/keyword retrieval, and deep integrations with AWS, Azure for permissions and analytics. Tailored for enterprise RAG, global knowledge bases, and commerce search. Provides superior governance and analytics over Pinecone; more enterprise-focused than Zilliz Cloud.

Dynamic Yield provides cloud-hosted vector-powered personalization and recommendations with auto-scaling, GPU-optimized inference, and seamless AWS/Azure integrations for real-time targeting. Enables enterprise RAG-like experiences and global e-commerce search without dedicated vector DBs. Simpler than Pinecone for non-technical teams; more experimentation-focused vs Zilliz Cloud.

Optimizely enables cloud-hosted vector-driven personalization and A/B testing with auto-scaling infrastructure, GPU inference support, and integrations with AWS, Azure for enterprise experimentation. Supports enterprise RAG-style recommendations and global user targeting without vector DB management. Easier integration than Pinecone for marketing teams; broader testing features vs Zilliz Cloud.

Shaped provides cloud-hosted hybrid vector search and personalization with auto-scaling, GPU-accelerated ranking, and native integrations to AWS, Azure warehouses like Snowflake. Ideal for enterprise RAG, global recommendations, and real-time search adapting to sessions. Warehouse-native outperforms Pinecone in multi-stage ranking; more flexible business modeling than Zilliz Cloud.

SkyPilot orchestrates cloud-hosted distributed GPU clusters for vector embedding generation and batch workloads across AWS, GCP, Azure with auto-scaling and spot instance optimization. Enables enterprise RAG preprocessing at global scale by accessing GPUs across regions for maximum throughput. More cost-efficient than Pinecone for batch jobs via spot pricing; flexible multi-cloud vs Zilliz Cloud single-provider.

Snowflake Cortex Search offers fully managed cloud-hosted hybrid vector and keyword search with serverless auto-scaling, GPU-accelerated reranking, and seamless integrations with AWS S3, Azure storage via Snowflake ecosystem. Designed for enterprise RAG on data warehouses and global semantic search over structured/unstructured data. Superior data governance than Pinecone; warehouse-native efficiency over Zilliz Cloud.

Google Cloud Spanner provides transactional cloud-hosted vector search with auto-scaling nodes, GPU integration via Vertex AI, and multi-region global distribution compatible with AWS/Azure hybrid setups. Excels in enterprise RAG requiring ACID guarantees and global low-latency search. Combines transactions better than Pinecone; more scalable globally than Zilliz Cloud.

A managed service and tooling offering from Instaclustr that helps teams operate and optimize vector databases for GenAI and Retrieval-Augmented Generation (RAG) workloads, providing expertise and infrastructure management for production deployments.

Qdrant Cloud Inference is a managed inference service integrated with the Qdrant vector database, allowing users to generate embeddings and work with vector search pipelines directly in the cloud environment.