AWS Database Blog

Adam Wagner is a solutions architect at Amazon Web Services. Earlier this year, Amazon DynamoDB released Time to Live (TTL) functionality, which automatically deletes expired items from your tables, at no additional cost. TTL eliminates the complexity and cost of scanning tables and deleting items that you don’t want to retain, saving you money on […]

Database administrators and developers rely on relational databases to store data for applications. As Forbes noted in 2016, the development of open source offerings for database management systems like PostgreSQL is causing a growing number of enterprises to migrate to lower-cost solutions for their data storage. The move to the cloud often provides an excellent […]

Pubali Sen and Shankar Ramachandran are solutions architects at Amazon Web Services. In 2016, AWS introduced the EKK stack (Amazon Elasticsearch Service, Amazon Kinesis, and Kibana, an open source plugin from Elastic) as an alternative to ELK (Amazon Elasticsearch Service, the open source tool Logstash, and Kibana) for ingesting and visualizing Apache logs. One of the […]

Shree Kenghe is a solutions architect at Amazon Web Services. This blog post gives you a quick overview of how you can use the AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS) to help you migrate your existing Oracle data warehouse to Amazon Redshift. Amazon Redshift is a fast, fully […]

This is a guest post by David Rader, the vice president of product development at OpenSCG. OpenSCG is an AWS Consulting Partner and a leading expert in PostgreSQL, helping customers migrate to, operate, and optimize PostgreSQL and other data platforms on-premises and in the cloud. There is a lot of interest these days in migrating […]

Hemant Borole is a big data consultant at Amazon Web Services. AWS Database Migration Service (AWS DMS) helps you migrate databases to AWS easily and securely. AWS DMS supports homogenous migrations such as Oracle to Oracle, as well as heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora. For customers who use […]

Update from May 29, 2018: Today, we published Z-order indexing for multifaceted queries in Amazon DynamoDB: Part 2. TL;DR Using Z-order indexing, you can efficiently run range queries on any combination of fields in your schema. Although Amazon DynamoDB doesn’t natively support Z-order indexing, you can implement the functionality entirely from the client side. A single […]

Many customers are undertaking the journey to open source relational database management system (RDBMS) databases. With the latest release of the AWS Schema Conversion Tool (AWS SCT), it’s easy to change your database engine. AWS SCT makes heterogeneous database migrations easier by automatically converting procedural code from the source SQL dialect into the target SQL […]

We are pleased to announce the recent release of version 1.0.602 of the AWS Schema Conversion Tool (AWS SCT). The new version includes a new key capability—data migration agents that extract data from Oracle, MS SQL Server, Teradata, IBM Netezza, Greenplum and HPE Vertica data warehouses, prepare, optimize and upload it to Amazon Redshift. The […]

Sam Dengler is a Solutions Architect at Amazon Web Services In this blog post, we review concepts and architectural patterns relevant to a chat application. We also discuss implementation details for a chat client and server, and instructions to deploy a sample chat application into your AWS account. Background information Building a chat application requires […]