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AWS pushes for database domination

AWS has made it a priority to win over customers in the database market, specifically Oracle shops. And the public cloud provider has a new weapon in that battle — an upgraded primary database conversion tool.

The AWS Database Migration Service (DMS) now supports NoSQL databases, enabling developers to move databases from the open source MongoDB platform onto DynamoDB, Amazon’s native NoSQL database service. AWS DMS also supports migrations to and from Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, SAP ASE and SQL Server as database sources. The cloud provider could target other NoSQL database providers for support in the future.

In addition to homogenous migrations, the AWS Schema Conversion Tool converts database schema to enable migration from a disparate database platform to a target on Amazon Relational Database Service, such as from Oracle to Amazon Aurora.

AWS also recently added support for data lake conversions from Oracle and Taradata to Amazon Redshift, a swift response to an Oracle licensing update that hiked fees for Oracle cloud users.

Despite the potential of lock-in, enterprises are interested in the ability of the DynamoDB platform to integrate database information with other AWS tools. And AWS is happy to beat its chest over winning these database customers — it passed 22,000 database migrations in late March, AWS CEO Andy Jassy claimed on Twitter.

It’s getting crowded in the AWS toolbox

Among AWS’ slate of recent service and tool updates, here are several other noteworthy tidbits:

  • A Resource Tagging API. IT teams can now apply tags, remove tags, retrieve a list of tagged resources with optional filtering and retrieve lists of tag keys and values via API. The new API enables developers to code tags into resources instead of doing it from the AWS Management Console. The Resource Tagging API is available through the newest versions of AWS SDKs and the AWS Command Line Interface. The new API functions apply across dozens of resource types and services. The cloud provider also added the ability to specify tags for Elastic Compute Cloud instances and Elastic Block Store volumes within the API call that creates them.
  • Support for CloudWatch Alarms on Dashboard Widgets. Added functionality of CloudWatch Alarms for Dashboard Widgets provides AWS users with at-a-glance visibility into potential performance issues. SysOps can view CloudWatch metrics and Alarms in the same widget, and view widgets that display metrics according to number (value of a metric), line graph or stacked area graphs (layering one metric over another).
  • Cross-region, cross-account capabilities for Amazon Aurora. IT teams can copy automatic or manual snapshots from one region to another and create read replicas of Aurora clusters in a new region. These features can improve disaster recovery posture or expand read operations to users in geographically-close regions. Additionally, users can share encrypted snapshots across AWS accounts, which enables them to copy or restore a snapshot depending on encryption configuration. AWS also expanded Aurora availability to the US-West region, and added support for t2.small instances.
  • Amazon Elastic MapReduce instance fleets. This addition lets ops specify up to five instance types per fleet with weighted capacities, availability zones and a mix of on-demand or spot pricing. EMR instance fleets enables ops teams to craft a strategy for how they want to provision and geographically place capacity, and how much they want to pay for it. EMR automatically spins up the required capacity to support big data frameworks for Apache Hadoop, Spark or HBase, among others.

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