AWS Database Blog

Introducing Cost Allocation Tags for Amazon DynamoDB

Nitin Sagar is a senior product manager for DynamoDB. You can now add tags to your Amazon DynamoDB tables. Tags are simple, user-customizable key and value pairs that are supported by many AWS services. Tagging for DynamoDB provides fine-grained visibility into your DynamoDB bill. You can assign tags to your tables and see cost breakouts […]

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Introducing AWS Schema Conversion Tool Version 1.0.502

We are pleased to announce the recent release of version 1.0.502 of the AWS Schema Conversion Tool (AWS SCT). Two key capabilities included with this release are the use of Amazon Aurora with PostgreSQL compatibility as a target and integration with AWS Database Migration Service (AWS DMS). Amazon Aurora with PostgreSQL compatibility as a target […]

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Auditing an Amazon Aurora Cluster

Sirish Chandrasekaran is a product manager at Amazon Web Services. At re:Invent, we announced a number of new features for Amazon Aurora, the MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Today we are happy to announce that our advanced […]

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Indexing Metadata in Amazon Elasticsearch Service Using AWS Lambda and Python

Amit Sharma (@amitksh44) is a solutions architect at Amazon Web Services. You can use Amazon S3 to implement a data lake architecture as the single source of truth for all your data. Taking this approach not only allows you to reliably store massive amounts of data but also enables you to ingest the data at […]

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A Large-Scale Cross-Regional Migration of NoSQL DB Clusters

Andrey Zaychikov is solutions architect at Amazon Web Services In this blog post, I will share experiences from a cross-regional migration of large-scale NoSQL database clusters (from Europe to the U.S.). The migration was a joint project implemented by the Ops team of our reference customer, FunCorp, and AWS Solutions Architects. “Our flagship product, iFunny, […]

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Cross-Engine Database Replication Using AWS Schema Conversion Tool and AWS Database Migration Service

Prahlad Rao is a solutions architect at Amazon Web Services. Customers often replicate databases hosted on-premises to the AWS Cloud as a means to migrate database workloads to AWS, or to enable continuous replication for database backup and disaster recovery. You can both migrate and perform continuous replication on the AWS Cloud with AWS Database […]

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Amazon DynamoDB at AWS re:Invent 2016—Wrap-Up

Vrutik Ghai is a product manager at Amazon Web Services We wrapped up an exciting AWS re:Invent. It was great to interact with current and future Amazon DynamoDB customers and hear their feedback and suggestions. Multiple re:Invent breakout sessions highlighted DynamoDB. These sessions consisted of deep dives, best practices, and customer talks with real-life examples […]

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Modifying Tasks and Table Mapping in the Console in AWS Database Migration Service

We’ve recently added two features in AWS Database Migration Service (AWS DMS)—modifying tasks and table mapping through the AWS Management Console. These two new features represent a new step in our long journey to improve and enhance our migration and replication service based on the feedback we receive from our customers. Let’s outline some highlights […]

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Installing JD Edwards EnterpriseOne on Amazon RDS for Oracle

Marc Teichtahl is a solutions architect at Amazon Web Services. Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizable capacity for an industry-standard relational database and manages common database administration tasks. Amazon RDS offers […]

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Introducing the Aurora Storage Engine

Steve Abraham is a solutions architect at Amazon Web Services What Is Amazon Aurora? Amazon Aurora is a MySQL-compatible relational database service that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL with the security, […]

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