"This technology is also MongoDB-compliant and compatible, meaning AWS DocumentDB data repository resources can ingest from and integrate with MongoDB. MongoDB Atlas has a flexible document model that enables the storage and synchronisation of varied data types i.e. structured, unstructured and semi-structured. AWS says that MongoDB Atlas on AWS is a "deeply integrated data platform" that powers scaled, enterprise level AI applications across various industries."
"For completeness, let's remind ourselves that a document database is defined by AWS as a type of NoSQL database that can be used to store and query data as JSON-like documents. JavaScript Object Notation (JSON) is an open data interchange format that is both human and machine-readable. United Airlines uses Amazon DocumentDB to modernize its ticket ordering workflow. Capital One uses Amazon DocumentDB for its credit decisioning application."
Amazon DocumentDB is a serverless, fully managed document database compatible with the MongoDB API. AWS manages the underlying servers and infrastructure and the service scales elastically as workloads change. The service can ingest from and integrate with MongoDB and complements MongoDB Atlas's flexible document model for structured, unstructured, and semi-structured data. DocumentDB stores and queries JSON-like documents using a NoSQL approach. Major users include United Airlines, Capital One, and FINRA for workflows, credit decisioning, and regulatory filing collection. The open source DocumentDB project moved to the Linux Foundation to be independently led and aims for a PostgreSQL-based document database with architectural visibility.
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