Edgar Haren Sr. Product Marketing Manager AWS
In recent years organizations have determined that legacy database technologies are incapable of supporting modern applications. Traditional database technologies lack functional scalability, they have rigid data models, and often modern developers are unfamiliar with these technologies. In addition, these databases have strict licensing models that create lock-in and inhibit the implementation of best-in-breed technologies. Finally, self-managed databases, require teams to spend valuable resources on administrative activities such as capacity planning, performance tuning, and maintenance versus delivering innovation. Document-oriented databases are one of the fastest growing categories of NoSQL databases, and the primary reason is the flexibility of schema design. Document databases make it easier for developers to store and query data by using the same document-model they use in their application code. The document model works well with use cases such as catalogs, user profiles, and content management systems where each document is unique and evolves over time. Document databases enable flexible indexing, powerful ad hoc queries, and operational analytics over collections of documents.
Amazon DocumentDB (with MongoDB compatibility) is an enterprise-ready document database that:
- Is fully managed by AWS—You don’t need to worry about database management tasks, such as hardware provisioning, patching, setup, configuration, backups, or scaling.
- Scaling with ease—Allows compute and storage to scale independently. You can easily scale read capacity to millions of requests per second.
- Easily leverage other AWS services—Customers can leverage their existing AWS experience and skills, while integrating with AWS management, monitoring, and analytics services.
Amazon Web Serviceshttps://aws.amazon.com/documentdb