AWS Database Blog

Announcing Amazon Neptune ML: Easy, fast, and accurate predictions on graphs

We’re thrilled to announce the availability of Amazon Neptune ML, an easy, fast, and accurate approach for predictions on graphs. Neptune ML is a new capability that uses graph neural networks (GNNs), a machine learning (ML) technique purpose-built for graphs. With GNNs, you can improve the accuracy of most predictions for graphs by over 50% […]

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Creating an Amazon CloudWatch dashboard to monitor Amazon RDS and Amazon Aurora MySQL

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. A highly performant database is key to delivering latency SLAs, so monitoring is critical. Amazon CloudWatch is a monitoring and observability service built for DevOps engineers, developers, site reliability engineers (SREs), and IT managers. […]

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Optimizing costs in Amazon RDS

One of the key benefits  of AWS is the flexibility to provision the number of resources an application needs and scale up or down as requirements change. This requires monitoring your current resource utilization and having a policy to take actions when required. Without these proactive measures in place, you can end up under-provisioning or […]

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AWS named a Leader in new 2020 Gartner Magic Quadrant for Cloud Database Management Systems

Industry analyst firm Gartner has published a new report, the Magic Quadrant for Cloud Database Management Systems, naming AWS as a Leader and placing AWS highest among the 16 vendors evaluated for “Ability to Execute.” We’re proud to be recognized by Gartner as a Leader for several consecutive years in both the database and analytics […]

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Moving a replication task to a different replication instance in AWS DMS

We’re excited to announce a new feature of AWS Database Migration Service (AWS DMS) that allows you to move a replication task from one replication instance to another. With this feature, you can stop a running migration, move the task to an instance with a newer AWS DMS version or different instance type, and resume […]

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Best practices for working with Amazon Aurora Serverless

Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora. Amazon Aurora Serverless v2, currently in preview, scales instantly from hundreds to hundreds-of-thousands of transactions in a fraction of a second. As it scales, it adjusts capacity in fine-grained increments to provide just the right amount of database resources and supports all manners of database workloads. Amazon Aurora Serverless v1 is a simple, […]

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Keeping data private with private data collections on Amazon Managed Blockchain

With the Amazon Managed Blockchain release of Hyperledger Fabric (HLF) version 1.4 support, the private data collections feature is also officially supported. Before HLF 1.2, the channels feature was the primary way to control data privacy amongst a set of members. But channels have significant limitations: Ordering service nodes still have a copy of all […]

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Explore what’s in store for Amazon RDS at re:Invent 2020

Join us at re:Invent 2020, a free 3-week virtual conference, from November 30 to December 18. This year’s virtual conference is going to be the industry event of the year, offering five keynotes, 18 leadership sessions, and unlimited access to hundreds of sessions, including 10 sessions on Amazon Relational Database Service (Amazon RDS). In this […]

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Building a biological knowledge graph at Pendulum using Amazon Neptune

At Pendulum, we combine state-of-the-art genome sequencing, cell culturing, and manufacturing processes to produce Pendulum Glucose Control, the only medical probiotic clinically shown to lower blood glucose spikes for the dietary management of type 2 diabetes through the gut microbiome. Research and development at Pendulum requires the synthesis of a diverse set of rich data and information streams, and this year we undertook a project to aggregate much of our data into a single database, the Pendulum knowledge graph, which integrates publicly available information on bacterial metabolism with the DNA sequencing data we generate for our strains.

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Deriving real-time insights over petabytes of time series data with Amazon Timestream

Time series data is one of the fastest growing categories across a variety of industry segments, such as application monitoring, DevOps, clickstream analysis, network traffic monitoring, industrial IoT, consumer IoT, manufacturing, and many more. Customers want to track billions of time series monitoring hundreds of millions of devices, industrial equipment, gaming sessions, streaming video sessions, […]

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