AWS Database Blog

How AEVI substituted Oracle materialized views fast refresh with AWS DMS when migrating to Amazon Aurora

AEVI took the journey to migrate to AWS. In their own words, “AEVI provides merchant-facing businesses—banks, acquirers, PSPs, ISOs, ISVs, and others—with a platform that enables merchants to run their business smarter by giving them easy access to any payment technology and business solution for the best in-store customer experience. AEVI’s Platform for Smart Merchant […]

Generate an assessment report for a fleet of database servers using the AWS SCT multiserver assessor

AWS Schema Conversion Tool (AWS SCT) is a service that allows you to migrate heterogeneous databases by converting your existing database schema from one supported database engine to another. This tool has a functionality called assessment reporting. Based on the source and target database engines you choose and the object attributes in your source schema, […]

Optimized bulk loading in Amazon RDS for PostgreSQL

In this post, we present several bulk data loading strategies optimized for Amazon Relational Database Service (Amazon RDS) for PostgreSQL. Although general optimization guides for bulk data loading into PostgreSQL are widely available, we illustrate how to apply these strategies in an Amazon RDS for PostgreSQL context. First, a word of caution. No combination of […]

Amazon Aurora PostgreSQL backups and long-term data retention methods

When operating relational databases, the need for backups and options for retaining data long term is omnipresent. This is especially true for many users of Amazon Aurora PostgreSQL-Compatible Edition. Although AWS-native, PostgreSQL-native, and hybrid solutions are available, the main challenge lies in choosing the correct backup and retention strategy for a given use case. In […]

Validate database objects after migrating from IBM Db2 LUW to Amazon RDS for MySQL, Amazon RDS for MariaDB, or Amazon Aurora MySQL

Migrating your database from IBM Db2 LUW to Amazon Relational Database Service (Amazon RDS) for MySQL, Amazon RDS for MariaDB, or Amazon Aurora MySQL-Compatible Edition is a complex, multistage process, which usually includes assessment, database schema conversion, data migration, functional testing, performance tuning, and many other steps spanning across the stages. You can use AWS […]

Reduce read I/O cost of your Amazon Aurora PostgreSQL database with range partitioning

June 2023: For Aurora databases where IO is greater than 25% of your costs, check out this blog post and recent announcement to see if you can save money with Aurora I/O-Optimized. Amazon Aurora PostgreSQL-Compatible Edition offers a SQL database with enterprise-grade speed, availability, and scale at a cost comparable to open-source databases. With Aurora, […]

Deploy AWS DMS in a multi-tiered secure network using an Nginx proxy server

This is a guest post by Hemalatha Katari, Solution Architect at Accenture, in partnership with AWS Partner Solutions Architect Rohit Satyanarayana. In this post, we discuss how to use AWS Data Migration Service (AWS DMS) to migrate your database while maintaining strict network segregation and network security requirements. We recently used this solution with a […]

Improved performance for lightweight transactions with Amazon Keyspaces

Amazon Web Services (AWS) customers migrating their Apache Cassandra workloads to Amazon Keyspaces (for Apache Cassandra) have rediscovered Cassandra’s lightweight transactions (LWT) API. Amazon Keyspaces LWTs have consistent performance, reliable scalability, and improved isolation that allow developers to use LWTs with mission critical workloads. With Amazon Keyspaces, LWTs have similar single digit millisecond latencies as […]

Optimize application memory usage on Amazon ElastiCache for Redis and Amazon MemoryDB for Redis

Amazon MemoryDB for Redis and Amazon ElastiCache for Redis are in-memory data stores. While ElastiCache is commonly used as a cache, MemoryDB is a durable database designed for applications with high performance requirements. Customers love Redis as an in-memory data engine. As data used and accessed grows exponentially, making the most of the memory available […]