Discover the top alternatives and competitors to Amazon DocumentDB based on the interviews we conducted with its users.
The top alternative solutions include MongoDB Atlas, Microsoft Azure Cosmos DB, and Oracle NoSQL Database Cloud.
The alternatives are sorted based on how often peers compare the solutions.
Amazon Web Services (AWS) Alternatives Report
Learn what solutions real users are comparing with Amazon Web Services (AWS), and compare use cases, valuable features, and pricing.
MongoDB Atlas excels with flexible schema options and comprehensive support. In comparison, Amazon DocumentDB integrates seamlessly within AWS for high durability. Tech buyers may prefer Atlas for its flexibility or choose DocumentDB for advanced features and AWS resource integration.
MongoDB Atlas boasts a low setup cost, attracting those seeking budget-friendly options, while Amazon DocumentDB showcases a slightly higher setup expense, targeting users who prioritize robust features and scalability over initial investment.
MongoDB Atlas boasts a low setup cost, attracting those seeking budget-friendly options, while Amazon DocumentDB showcases a slightly higher setup expense, targeting users who prioritize robust features and scalability over initial investment.
Azure Cosmos DB appeals to buyers with its global distribution and multi-model flexibility. In comparison, Amazon DocumentDB attracts those seeking compatibility with MongoDB and efficient AWS integration. Flexibility versus ease of use helps determine the right NoSQL database for specific needs.
Microsoft Azure Cosmos DB features straightforward setup costs, while Amazon DocumentDB offers a competitive pricing structure that might appeal to budget-conscious users. The differences in pricing can influence the initial choice based on budget considerations.
Microsoft Azure Cosmos DB features straightforward setup costs, while Amazon DocumentDB offers a competitive pricing structure that might appeal to budget-conscious users. The differences in pricing can influence the initial choice based on budget considerations.
A scale-out, low latency key-value database service including support for JSON and Table data types. Built-in high availability, transactions, parallel query, and more.
