AWS Database Blog
Category: Intermediate (200)
Improve application performance on Amazon RDS for MySQL and MariaDB instances and MySQL Multi-AZ DB clusters with Optimized Writes
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale deployments of MySQL and MariaDB in the cloud. Amazon RDS customers run different types of workloads on Amazon RDS for MySQL and Amazon RDS for MariaDB. You can use read replicas to scale read options of their workloads, but scaling […]
Working with date and timestamp data types in Amazon DynamoDB
July 2024: This post was reviewed and updated for accuracy. Amazon DynamoDB customers often need to work with dates and times in DynamoDB tables. Querying tables on the basis of year, month, day, or even hours and minutes for real-time workloads has become a necessity for organizations. Therefore, it’s important to be able to query […]
Generate suggestions for leisure activities in real time with Amazon Neptune
DoGet App is a mobile application that connects friends for sharing in-person moments together. Suggestions for activities to engage in with friends are presented to users in card deck format: swiping up indicates no interest in an activity, and swiping down indicates interest and prompts a follow-up on when a user is available (such as […]
Best practices for migrating SQL Server MERGE statements to Babelfish for Aurora PostgreSQL
To migrate a SQL Server database to Babelfish for Aurora PostgreSQL, you usually need to perform both automated and manual tasks. The automated tasks involve automatic code conversion using the Babelfish Compass tool with the -rewrite flag and data migration using AWS Database Migration Service (AWS DMS). The manual tasks involve database compatibility check using […]
Model molecular SMILES data with Amazon Neptune and RDKit
Modeling chemical structures can be a complex and tedious process, even with the help of modern programs and technology. The ability to explore chemical structures at the most fundamental level of atoms and the bonds that connect them is an essential process in drug discovery, pharmaceutical research, and chemical engineering. By infusing chemical research with […]
Build hypothetical indexes in Amazon RDS for PostgreSQL with HypoPG
Indexes in PostgreSQL are essential for improving the performance of database queries. They serve as data structures that organize and optimize the retrieval of information from database tables. By creating indexes on specific columns, PostgreSQL can locate and access relevant data more efficiently. Indexes work by creating a separate data structure that contains a sorted […]
Amazon Keyspaces (for Apache Cassandra) support for Cassandra v3.11 end of life schedule
Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra-compatible database service. With Amazon Keyspaces, you can run your Cassandra workloads on AWS using the same Cassandra application code and developer tools that you use today. You don’t have to provision, patch, or manage servers, and you don’t have to install, […]
How Twilio modernized its Messaging Postflight service data store with Amazon DynamoDB
Twilio is a customer engagement platform that drives real-time, personalized experiences for leading brands. Twilio has democratized communications channels like voice, text, chat, and video by virtualizing the world’s telecommunications infrastructure through APIs that are simple enough for any developer to use, yet robust enough to power the world’s most demanding applications. Twilio supports an […]
Accelerate graph query performance with caching in Amazon Neptune, Part 1: Queries and buffer pool caching
Graph databases are uniquely designed to address query patterns focused on relationships within a given dataset. From a relational database perspective, graph traversals can be represented as a series of table joins, or recursive common table expressions (CTEs). Not only are these types of SQL query patterns computationally expensive and complex to write (especially for […]
Validate database objects after migrating from IBM Db2 z/OS to Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL
Customers are modernizing their mission-critical legacy on-premises IBM Db2 for z/OS databases to Amazon Relational Database Service (Amazon RDS) for PostgreSQL or Amazon Aurora PostgreSQL-Compatible Edition for its scalability, performance, agility, and availability. You can use the AWS Schema Conversion Tool (AWS SCT) to simplify the schema conversion from Db2 for z/OS to Amazon RDS […]