AWS Database Blog

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. Tuesday, November 27 8:30 AM DAT404-R – Advanced Design Patterns for Amazon DynamoDB – Workshop This hands-on […]

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.

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, Load CDC Data, discussed real-time data processing architecture. As part of that, it covered how to capture changes in an Amazon RDS for Microsoft SQL Server database using AWS […]

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 can use DMS in your data integration pipelines to replicate data in near-real time into […]

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 […]

An Oracle to PostgreSQL migration in AWS Cloud can be a complex multistage process with different technologies and skills involved, starting from the assessment stage to the cutover stage. To better understand details of the complexities involved, see the AWS Database Blog post Database Migration—What Do You Need to Know Before You Start? This blog […]

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 series covers the environment and configuration setups for your source Oracle database, the AWS Database Migration (AWS DMS) service, and the target PostgreSQL […]

In this blog post, I talk about how you can use Amazon CloudWatch metrics to understand when you might benefit from provisioned IOPS, also known as IO1 volumes, for highest performance mission-critical database workloads. I start by setting up a test case that simulates a nonbursting consistent high-write workload. I compare performance between a database […]

We’re pleased to announce the start of a multi-part series of posts for Amazon Neptune in which we explore graph application datasets and queries drawn from many different domains and problem spaces. Amazon Neptune is a fast and reliable, fully-managed graph database, optimized for storing and querying highly connected data. It is ideal for online […]