Category: Amazon DocumentDB

In this post, we explore the key factors to consider when selecting a database for your generative AI applications. We focus on high-level considerations and service characteristics that are relevant to fully managed databases with vector search capabilities currently available on AWS. We examine how these databases differ in terms of their behavior and performance, and provide guidance on how to make an informed decision based on your specific requirements.

Parallel indexing in Amazon DocumentDB (with MongoDB compatibility) significantly reduces the time to create indexes. In this post, we show you how parallel indexing works, its benefits, and best practices for implementation.

In this post, we show you two ways to schedule the scaling of your Amazon DocumentDB instance-based clusters to address anticipated read traffic patterns. By aligning your Amazon DocumentDB cluster scaling operations with the anticipated read traffic patterns, you can achieve optimal performance during peak loads and save costs by reducing the need to overprovision your cluster.

Today, customers use document databases for many different types of applications. For example, gaming clients use them for handling users’ attribute information, while a stock application employs a document-oriented database to store chronological quote data. As the number of documents grows over time, you need more compute and storage than what is traditionally offered through […]

Amazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON document database that makes it easy and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. You can use the same application code written using MongoDB API (versions 3.6, 4.0, and 5.0) compatible drivers, and tools to run, manage, and […]

Amazon DocumentDB (with MongoDB compatibility) offers benefits to customers building modern applications across multiple domains, including healthcare, gaming, and finance. As a fully managed document database, it can improve user experiences through flexibility, scalability, high performance, and advanced functionality. Enterprises that use the JSON data model supported by Amazon DocumentDB can achieve faster application development […]

Amazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON document database that makes it easy and cost effective to operate critical document workloads at virtually any scale without managing infrastructure. Amazon DocumentDB simplifies your architecture by providing built-in security best practices, continuous backups, and native integrations with other AWS services. You can enhance […]

Amazon DocumentDB (with MongoDB compatibility) is a highly efficient, scalable, and fully managed enterprise document database service designed to handle native JSON workloads. Amazon DocumentDB simplifies storing, querying, and indexing JSON data as a document database. The Amazon DocumentDB profiler feature is a valuable tool for monitoring the slowest operations on your cluster to help […]

Amazon DocumentDB (with MongoDB compatibility) is a scalable, highly durable, and fully managed document database service that makes it straightforward to store, query, and index native JSON workloads in the cloud. Amazon DocumentDB decouples compute and storage, so each component scales independently. Amazon DocumentDB supports two types of clusters: instance-based clusters and elastic clusters. In […]

Amazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON document database that makes it easy and cost effective to operate critical document workloads at virtually any scale without managing infrastructure. Amazon DocumentDB simplifies your architecture by providing built-in security best practices, continuous backups, and native integrations with other AWS services. You can enhance […]