# Cloud

> Browse 12 items tagged with Cloud.

## Items

- [AlloyDB](https://vectordb.ever.works/items/alloydb) — Google Cloud's fully managed, PostgreSQL-compatible database service that offers vector capabilities, leveraging the power of PostgreSQL and pgvector for AI applications.
- [Instaclustr](https://vectordb.ever.works/items/instaclustr) — Instaclustr offers comprehensive managed services for vector databases, handling deployment, configuration, ongoing maintenance, tuning, optimization, scalability, security, and data protection. This allows organizations to offload the complexities of managing their vector database infrastructure and focus on their core business objectives.
- [Amazon ElastiCache Vector Search](https://vectordb.ever.works/items/aws-elasticache-vector-search) — Vector search extension for Amazon ElastiCache for Redis, featuring HNSW indexing for k-NN similarity, hybrid lexical+vector search with BM25 fusion capabilities. Used for enterprise semantic caching, real-time recommendations, and RAG applications. Integrated Redis module offers sub-microsecond latency vs standalone like Weaviate, optimized for hot data workloads.
- [Azure Cache for Redis Vector Search](https://vectordb.ever.works/items/azure-cache-redis-vector) — Vector search plugin for Azure Cache for Redis via RediSearch module, supporting HNSW/Flat indexes, hybrid lexical+vector with BM25 fusion, metadata filtering. Suited for enterprise semantic caching, real-time RAG, and recommendations. Integrated caching layer provides sub-ms latency vs standalone vector DBs like Weaviate.
- [Google Vector Search](https://vectordb.ever.works/items/google-vector-search) — Managed vector search service as part of Google Vertex AI, enabling efficient similarity search over high-dimensional vectors for AI applications.
- [MyScale](https://vectordb.ever.works/items/myscale) — Cloud-native vector database built on ClickHouse for high-performance vector search and analytics.
- [Snowflake](https://vectordb.ever.works/items/snowflake) — A cloud data platform that offers capabilities for storing and querying various data types, including vector embeddings, often used in conjunction with its data warehousing features.
- [Cloudflare Vectorize](https://vectordb.ever.works/items/cloudflare-vectorize-db) — Cloudflare's globally-distributed vector database running on their edge network. Provides low-latency vector search with automatic global replication and serverless pricing starting at $0.31/month.
- [DataStax Astra DB](https://vectordb.ever.works/items/datastax-astra-db) — DataStax Astra DB is a managed, serverless vector database built on Apache Cassandra with integrated JVector for AI vector storage and search. It offers serverless scaling, global distribution, hybrid search capabilities, and seamless integrations with LangChain and LlamaIndex. Ideal for enterprise RAG pipelines and real-time AI applications, it provides multi-region replication and zero-ops management superior to self-hosted Milvus.
- [MongoDB Atlas Vector Search](https://vectordb.ever.works/items/mongodb-atlas-vector) — Native vector search in MongoDB Atlas enabling semantic search alongside document data with HNSW indexing and filtering capabilities.
- [Vector Database Cost Optimization Guide](https://vectordb.ever.works/items/vector-database-cost-optimization-guide) — Comprehensive strategies for reducing vector database costs including storage management, compute optimization, and monitoring. Covers cloud pricing trends and hidden costs in 2026.
- [MotherDuck](https://vectordb.ever.works/items/motherduck) — A cloud data warehouse that can be leveraged to store vector embeddings as List data types, enabling semantic search capabilities through SQL-based similarity functions within an existing data pipeline.

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