AWS Database Blog

Category: Database*

Level Up Your Games with Amazon Aurora

Dhruv Thukral is a solutions architect at Amazon Web Services. Amazon Aurora is rapidly becoming the relational database of choice for some of the largest and fastest-growing gaming companies in the world. Companies like Zynga and Double-Down Interactive in the Americas, and Grani and Gumi in Asia Pacific, use Amazon Aurora. Aurora gives them the […]

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Understanding Burst vs. Baseline Performance with Amazon RDS and GP2

Phil Intihar is a database engineer at Amazon Web Services. When we think about database storage, the dimensions that matter are the size, latency, throughput, and IOPS of the volume. IOPS stands for input/output (operations) per second, and latency is a measure of the time it takes for a single I/O request to complete. As […]

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Accelerate Alfresco Content Services Deployment on Amazon Aurora with AWS Quick Start

Linda Wu is a product manager at Amazon Web Services. When we built Amazon Aurora a few years ago, we had the following tenets in mind: Combine the speed and availability of a high-end commercial database with the simplicity and cost-effectiveness of open source. Deliver full compatibility with the popular open-source database MySQL so that […]

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DynamoDB Streams Use Cases and Design Patterns

Gowri Balasubramanian is a solutions architect at Amazon Web Services. This post describes some common use cases you might encounter, along with their design options and solutions, when migrating data from relational data stores to Amazon DynamoDB. We will consider how to manage the following scenarios: How do you set up a relationship across multiple […]

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Oracle Migration Automated – How to Automate Generation of Selection and Transformation Rules for AWS Data Migration Service

Akm Raziul Islam is a database architect at Amazon Web Services. You can use AWS Data Migration Service (AWS DMS) to copy data from multiple schemas in an Oracle source to a single Amazon RDS for Oracle target. You can also migrate data to different schemas on a target. But to do this, you need […]

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Amazon DynamoDB Accelerator (DAX): A Read-Through/Write-Through Cache for DynamoDB

Joseph Idziorek is a product manager at Amazon Web Services. AWS recently launched Amazon DynamoDB Accelerator (DAX), a highly available, in-memory cache for Amazon DynamoDB. If you’re currently using DynamoDB or considering DynamoDB, DAX can offer you response times in microseconds and millions of requests per second. When developers start using DAX, they tell us […]

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AWS Named as a Leader in The Forrester Wave: Database-as-a-Service Q2 2017

by Yoav Eilat and Larry Weber | on | in Database* | Permalink | Comments |  Share

Larry Weber and Yoav Eilat are product marketing managers at Amazon Web Services. On April 24, Forrester published The Forrester Wave: Database-as-a-Service Wave, Q2 2017, in which AWS is named as a Leader, receiving the highest score for Current Offerings, Strategy, and Market Presence. There were 13 vendors in the evaluation. According to Forrester, “AWS […]

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How to Migrate Your Oracle Database to PostgreSQL

Knievel Co is a database engineer at Amazon Web Services. This blog post provides an overview on how you can migrate your Oracle database to PostgreSQL. The two biggest parts of a database migration are the schema conversion and the data replication. We go over how to use the AWS Schema Conversion Tool (AWS SCT) […]

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Using the AWS Database Migration Service, Amazon S3, and AWS Lambda for Database Analytics

Jeff Levine is a solutions architect for Amazon Web Services. The AWS Database Migration Service (AWS DMS) supports Amazon S3 as a migration target. The services enable you to extract information from any database supported by DMS and write it to Amazon S3 in a format that can be used by almost any application. You […]

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Integrate Amazon RDS for SQL Server DB Instances with an Existing Active Directory Domain

Vlad Vlasceanu is a solutions architect at Amazon Web Services. Last year, we launched support for Windows Authentication in Amazon RDS for SQL Server. This feature has been quite popular with customers. It lets you deploy Microsoft SQL Server-based workloads with Amazon RDS using the same centralized user management patterns that you use in your […]

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