Amazon DocumentDB is a managed proprietary

NoSQL A NoSQL (originally referring to "non- SQL" or "non-relational") database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Such databases have existed ...

database In computing, a database is an organized collection of data stored and accessed electronically. Small databases can be stored on a file system, while large databases are hosted on computer clusters or cloud storage. The design of databases sp ...

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 index

JSON JSON (JavaScript Object Notation, pronounced ; also ) is an open standard file format and data interchange format that uses human-readable text to store and transmit data objects consisting of attribute–value pairs and arrays (or other ser ...

data. It is available on

Amazon Web Services Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon.com, Amazon that provides Software as a service, on-demand cloud computing computing platform, platforms and Application programming interface, APIs to individuals, companies, and gover ...

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 Amazon Aurora is a relational database service developed and offered by Amazon Web Services beginning in October 2014. Aurora is available as part of the Amazon Relational Database Service (RDS). History Aurora offered MySQL compatible servic ...

relational database system, specifically the PostgreSQL-compatible edition. Its architecture separates storage and compute 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, 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). 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.

References

External links

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A Guide To Amazon Web ServicesComparing MongoDB to DocumentDBDocumentDB Test Compatibility With MongoDB
{{Cloud computing DocumentDB Cloud storage Distributed data stores Structured storage NoSQL products Cloud databases Computer-related introductions in 2019 Document-oriented databases

Main features

See also

References

External links