AWS Database Blog

Category: Amazon DocumentDB

Amazon DocumentDB (with MongoDB compatibility) customers: Update your TLS certificates by February 5, 2020

If you are an Amazon DocumentDB (with MongoDB compatibility) customer, you might have received emails from AWS notifying you about rotating your TLS certificates. The TLS certificates for Amazon DocumentDB clusters will expire on March 5, 2020 as part of standard maintenance and security best practices for Amazon DocumentDB. All Amazon DocumentDB customers who use TLS to connect to […]

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Amazon DocumentDB (with MongoDB compatibility) re:Invent 2019 recap

The Amazon DocumentDB team had a great time meeting with many of you at AWS re:Invent 2019, listening to your feedback and use cases, and understanding what you want us to build next. For me, the highlights of re:Invent were the two great customer use cases presented by FINRA and Fulfillment by Amazon (FBA). Both […]

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Your guide to Amazon DocumentDB (with MongoDB compatibility) sessions, workshops, and chalk talks at AWS re:Invent 2019

AWS re:Invent 2019 is almost here. This post includes a complete list of Amazon DocumentDB (with MongoDB compatibility) sessions, workshops, and chalk talks at AWS re:Invent 2019. Use the information on this page to help schedule your week in Las Vegas and accelerate your knowledge of Amazon DocumentDB. Sessions, Workshops, and Chalk Talks DAT326 – Amazon DocumentDB Deep Dive (Session) Developers […]

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Caching for performance with Amazon DocumentDB and Amazon ElastiCache

In tech, caching is ubiquitous. CPUs use L1, L2, and L3 caches, and mobile phones cache app data locally. Streaming services cache content on the edge, browsers cache images, and more. The same is true for databases. Imagine if, on a gaming site, every time a leaderboard was displayed, a query had to do a […]

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Running AWS Lambda-based applications with Amazon DocumentDB

Microservices-based applications architectures are the norm for building scalable applications. AWS makes creating these types of applications easier with Amazon DocumentDB (with MongoDB compatibility). Just bring your code and deploy an application with this fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. You can use the same MongoDB application […]

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Migrate from MongoDB to Amazon DocumentDB using the offline method

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. The Amazon DocumentDB Migration Guide outlines three primary approaches for migrating from MongoDB to Amazon DocumentDB: offline, online, and hybrid. The offline migration approach is the fastest and simplest of the three, but it […]

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Using new aggregation pipeline capabilities in Amazon DocumentDB to build powerful aggregation queries

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. You can use the same MongoDB application code, drivers, and tools as you do today to run, manage, and scale workloads on Amazon DocumentDB. This way, you can enjoy improved performance, scalability, and availability, […]

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New Amazon DocumentDB features for aggregations, arrays, and indexing

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. You can use the same MongoDB application code, drivers, and tools as you do today to run, manage, and scale workloads on Amazon DocumentDB. This way, you can enjoy improved performance, scalability, and availability without having to […]

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How to use Amazon DocumentDB (with MongoDB compatibility) to build and manage applications at scale

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. Data in Amazon DocumentDB is stored as JSON-like documents and maps naturally to how data is modeled in applications. This approach makes the storing, querying, and processing of data between your application and Amazon […]

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