AWS Database Blog

Category: Amazon DynamoDB*

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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Automatically Archive Items to S3 Using DynamoDB Time to Live (TTL) with AWS Lambda and Amazon Kinesis Firehose

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 […]

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Z-Order Indexing for Multifaceted Queries in Amazon DynamoDB: Part 1

Zack Slayton  is a software development engineer at Amazon 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 Z-order index can outperform and even replace entire […]

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How to Stream Data from Amazon DynamoDB to Amazon Aurora using AWS Lambda and Amazon Kinesis Firehose

Aravind Kodandaramaiah is a partner solutions architect with the AWS Partner Program Introduction We find that customers running AWS workloads often use both Amazon DynamoDB and Amazon Aurora. Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. Its flexible data model and reliable performance […]

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How to Configure a Private Network Environment for Amazon DynamoDB Using VPC Endpoints

Gisung Lim is a security solutions architect at Amazon Web Services Korea and Sangpill Kim is an enterprise solutions architect at Amazon Web Services Korea. This blog post explains how to enhance the privacy and security of data transfers between Amazon DynamoDB and your corporate network using the new Amazon VPC Endpoints for DynamoDB (currently in public preview). With […]

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Preventing Accidental Table Deletion in DynamoDB

Edin Zulich, AWS NoSQL solutions architect It’s easy to delete a table in Amazon DynamoDB, and that means that it’s easy to delete one by accident, too. Fortunately, you can minimize the risk of accidentally deleting a table using AWS Identity and Access Management (IAM), which provides authentication and access control for DynamoDB. As a […]

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ETL Job Orchestration with Matillion, Amazon DynamoDB, and AWS Lambda

Traditional ETL tools often run on a schedule. If you are due to receive a file from a vendor between 1 A.M. and 4 A.M. on the third Wednesday of the month, you likely have a job scheduled look for the file at 4 A.M. But what if the file arrives late? Or what if […]

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Choosing the Right DynamoDB Partition Key

Gowri Balasubramanian is a solutions architect at Amazon Web Services This blog post will cover important considerations and strategies for choosing the right partition key while migrating from a relational database to DynamoDB. This is an important step in the design  and building of scalable and reliable applications on top of DynamoDB. What is a […]

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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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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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