Amazon DocumentDB is a managed proprietary NoSQLdatabase service that supports document data structures, with some compatibility with MongoDB version 3.6 (released by MongoDB in 2017) and version 4.0 (released by MongoDB in 2018). As a document database, Amazon DocumentDB can store, query, and indexJSON data. It is available on Amazon Web Services.[2][3] As of March 2023, AWS introduced some compliance with MongoDB 5.0 but lacks time series collection support.[4]
Main features
A document database natively stores JSON data. DocumentDB provides single document lookups, index scans, regular expression queries, and aggregations. It can create single-field, compound, and multi-key indexes to improve the performance of query patterns. Reads from the indexes on the primary instance are read-after-write consistent and users can delete or create new indexes at any time.
DocumentDB was an enhancement to the Amazon Aurora relational database system,[5] specifically the PostgreSQL-compatible edition. Its architecture separates storage and computing so that each layer can scale independently, though the system is limited to a single writable primary. Amazon DocumentDB, through Aurora PostgreSQL, uses the Aurora Storage Engine,[6] originally built for the MySQL relational database. This storage engine is distributed, fault-tolerant, self-healing, and durable, which it maintains by replicating data six ways across three AWS Availability Zones (AZs).[2][7] Amazon DocumentDB databases cannot span AWS Regions or span cloud providers, nor can Amazon DocumentDB run on-premises. The system can support up to 15 low-latency readable replicas and continuously backs up all changes to Amazon S3.
