Amazon DocumentDB
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Plume Meets Demands of Explosive Growth with Migration to Amazon DocumentDB
When Plume reached database scalability limits in MongoDB, it faced complicated application redesigns that would require onboarding new infrastructure experts. Plume determined that moving to a managed service from Amazon Web Services (AWS) would help the company meet its scalability needs while avoiding the costs associated with self-management.
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Greenway Health Scales to Hundreds of Terabytes of Data Using Amazon DocumentDB
Learn how Greenway Health developed a health-data solution using Amazon DocumentDB.
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Unlock the power of Amazon DocumentDB text search with real-world use cases
Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports JSON workloads. Amazon DocumentDB recently launched support for text search, a new native text search capability that allows you to perform complex text searches on large textual data with ease.
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Modernizing FINRA Data Collection with Amazon DocumentDB
Learn how FINRA in the financial services industry reduced development times and ongoing maintenance costs using Amazon DocumentDB (with MongoDB compatibility) for its data collection framework.
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Asahi Shimbun Uses Amazon DocumentDB (with MongoDB Compatibility) as Content Master Database to Overhaul Official App, Increases Use by 20% Due to Improved Functionality
By utilizing Amazon DocumentDB, which has high performance and availability and is easy to maintain, The Asahi Shimbun Company reduced operating costs while maintaining flexibility for its article category searches and other areas.
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Optimize costs with scheduled scaling of Amazon DocumentDB for read workloads
In this post, learn two ways to schedule the scaling of your Amazon DocumentDB (with MongoDB compatibility) instance-based clusters to address anticipated read traffic patterns.
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Rappi Improves Efficiency, Stability, and Speed with Amazon DocumentDB (with MongoDB compatibility)
App-based marketplace startup Rappi migrated its databases to Amazon DocumentDB, increasing service performance.
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Run complex queries on massive amounts of data stored on your Amazon DocumentDB clusters using Apache Spark running on Amazon EMR
Learn how to set up an EMR cluster with the appropriate software versions and connect to a TLS-enabled Amazon DocumentDB cluster using a simple Spark application. All the best practices relating to Amazon EMR, Amazon DocumentDB, Apache Spark, and the MongoDB Spark connector should be applied while creating a production-grade application.
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