AWS Database Blog

In this post, we look at how to use virtual partitioning to optimize your data warehouse migrations using AWS SCT. Virtual partitioning speeds up large table extraction using parallel processing. It is a recommended best practice for data warehouse migrations.

Companies are experiencing exponential data growth year-over-year. Scaling the databases and the hardware infrastructure to keep up is becoming more and more challenging. If your workloads just are not suitable for non-relational data stores, how do you overcome the scaling challenges without spending tons of money in managing the underlying infrastructure? Amazon RDS for PostgreSQL and Amazon […]

This blog post includes links to video recordings of the Amazon DynamoDB-related keynotes, announcements, and sessions from AWS re:Invent 2018. Video recordings were not made of workshops, chalk talks, or builders sessions. The keynotes AWS re:Invent 2018 Keynote with Andy Jassy (Wednesday, November 28) Among other topics in his keynote, AWS CEO Andy Jassy discusses DynamoDB on-demand. […]

Just a few years ago, creating a database that could support your business at any scale while providing consistent low latency was a daunting task. That changed in 2012 with Werner Vogels’ blog post announcing Amazon DynamoDB. Amazon DynamoDB was built on the principles in the original Dynamo paper that Amazon published in 2007. Over the years, lots of […]

Over the years, customers have used Amazon DynamoDB for lots of different use cases, from building microservices and mobile backends to implementing gaming and Internet of Things (IoT) solutions. For example, Capital One uses DynamoDB to reduce the latency of their mobile applications by moving their mainframe transactions to a serverless architecture. Tinder migrated user data to DynamoDB with zero downtime, to get […]

This blog post includes the Amazon DynamoDB sessions, workshops, and chalk talks taking place today at AWS re:Invent 2018. You also can see this list in the live session catalog. Follow us on @DynamoDB for re:Invent and other tweets. Monday, November 26 11:30 AM DAT365 – Separating Fact from Fiction: Amazon DynamoDB Scaling and Adaptive Capacity […]

Accelario is database migration software that provides a fast and easy way to load an Oracle database to Amazon Web Services (AWS). At the end of the initial load, database synchronization starts immediately using AWS Database Migration Service (AWS DMS), and the result is a zero downtime migration of your database.

Businesses that require 24/7 operation face a significant issue when moving databases into the cloud: Up until now, few if any cost-effective options existed to minimize the resulting downtime. With its recent integration with AWS DMS, Accelario provides a ready-to-use, zero downtime, full database migration solution—meaning that the whole database is migrated, including users, procedures, views, etc. When the process is done, you can access your database and start using it with your application immediately.

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. In this post, we discuss how you can use AWS Database Migration Service (AWS DMS) to stream change data into Amazon Kinesis Data Streams. An earlier post, […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. We’re excited to announce the addition of a new target in AWS Database Migration Service (AWS DMS)—Amazon Elasticsearch Service. You can now migrate data to Amazon Elasticsearch Service from all AWS DMS–supported sources. With support for this new target, you […]

An Oracle to PostgreSQL migration in the AWS Cloud can be a complex multistage process with different technologies and skills involved, starting from the assessment stage to the cutover stage. This blog post is the third in a series that discusses high-level aspects about the components to consider for a database migration. The series doesn’t […]