Hyperscaler & Cloud-Provider Databases
13 entriesManaged database services from the major public-cloud providers.
Distributed SQL & Relational Platforms
9 entriesCloud-native relational and PostgreSQL- or MySQL-compatible databases built to scale.
NoSQL, Graph, Vector & Multi-Model
8 entriesDocument, key-value, graph, vector and multi-model databases for flexible data.
Analytics & Data Platforms
9 entriesCloud data platforms and analytical databases for warehousing, lakehouse and AI workloads.
Frequently Asked Questions
What is a cloud database management system?
A cloud database management system, often delivered as database as a service (DBaaS), is a database run and managed by a provider in the cloud. The provider handles provisioning, patching, backups, high availability and scaling so teams can focus on their data and applications.
What is the difference between relational and NoSQL cloud databases?
Relational databases such as Amazon Aurora, Azure SQL and Google Spanner organize data in tables and use SQL with strong consistency guarantees. NoSQL databases such as DynamoDB, MongoDB Atlas and Couchbase use flexible models like documents or key-value pairs and often favor horizontal scaling and schema flexibility.
What is distributed SQL?
Distributed SQL databases such as CockroachDB, YugabyteDB, TiDB and Google Spanner provide a familiar SQL interface and transactions while spreading data across many nodes and regions. They aim to combine relational consistency with horizontal scalability and resilience.
Why are vector databases listed here?
Vector databases such as Pinecone store embeddings and support fast similarity search, which AI applications use for retrieval-augmented generation and semantic search. Many general-purpose databases listed here also add vector search capabilities.