AWS Database Blog
Scaling Amazon DocumentDB (with MongoDB compatibility), Part 1: Scaling reads
Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, fully managed document database service that supports MongoDB workloads. With Amazon DocumentDB, you can run the same application code and use the same drivers and tools you use with MongoDB. This post shows you how the modern, cloud-native database architecture of Amazon DocumentDB allows […]
Building a customer 360 knowledge repository with Amazon Neptune and Amazon Redshift
Organizations build and deploy large-scale data platforms like data lakes, data warehouses, and lakehouses to capture and analyze a holistic view of their customer’s journey. The objective of such a data platform is to understand customer behavior patterns that influence satisfaction and drive more engagement. Applications today capture each point of contact with a customer, […]
Managing inactive Amazon Aurora PostgreSQL users
July 2023: This post was reviewed for accuracy. Data is one of the most precious assets for any organization, and keeping data secure is always the top priority. One common security requirement for databases is to restrict user access—if a database user is compromised, it can cause significant damage to your data. You should follow […]
How Gunosy built a comment feature in News Pass using Amazon Neptune
This guest post is a translation and adaption from How to implement and operate News Pass comment feature in GraphDB using Amazon Neptune, published in Japanese by Gunosy. Gunosy’s motto is to “Optimally deliver information to people around the world.” In their own words “Gunosy has developed and operated multiple media businesses, including the information […]
Managed disaster recovery and managed reader farm with Amazon RDS for Oracle using Oracle Active Data Guard
Many AWS users are taking advantage of the managed database offerings in the Amazon Relational Database Service (Amazon RDS) portfolio to remove much of the undifferentiated heavy lifting from their day-to-day activities. With Amazon RDS for Oracle, users can significantly reduce the administrative overhead of managing and maintaining an Oracle database. Amazon RDS for Oracle […]
Five workload characteristics to consider when right sizing Amazon ElastiCache Redis clusters
This post discusses the process to determine the right node size and cluster topology for your Amazon ElastiCache workloads, and the important factors to consider. This post assumes you have a good knowledge of Redis and its commands and have an understanding of Amazon ElastiCache for Redis and its features such as online cluster resizing, […]
Exploring scientific research on COVID-19 with Amazon Neptune, Amazon Comprehend Medical, and the Tom Sawyer Graph Database Browser
COVID-19 is a global crisis that has affected us all. A massive research effort is underway to gain knowledge on every facet of the virus, including symptoms, treatments, and risk factors. To aid in the relief effort, AWS has created the public COVID-19 data lake, which contains various datasets you can use to help in the […]
Building an event-based application with Amazon Managed Blockchain
Applications built on Amazon Managed Blockchain allow multiple parties to transact with one another in a trusted environment with the ability for each party to endorse transactions before they are committed to the blockchain. Blockchain events allow applications to respond to activity and updates to the smart contracts that have been deployed to the network, […]
Multi-region SQL Server deployment using distributed availability groups
A multi-region architecture for SQL Server is often a topic of interest that comes up when working with our customers. The fundamental reasons why customers adopt a multi-region architecture approach for SQL Server deployments is: Business continuity and disaster recovery Geographically distributed customer base and improving latency for end-users This post explains the architecture patterns […]
Scheduling and running Amazon RDS jobs with AWS Batch and Amazon CloudWatch rules
Database administrators and developers traditionally schedule scripts to run against databases using the system cron on the host where the database is running. As a managed database service, Amazon Relational Database Service (RDS) does not provide access to the underlying infrastructure, so if you migrate such workloads from on premises, you must move these jobs. […]









