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  1. Amazon Athena users can now analyze and tune their queries using interactive, visual tools. Optimizing queries and debugging failures are challenging tasks that often require knowledge of query behavior and a careful approach to tuning query logic. With today’s launch, you can now use the Athena console to analyze your queries with tools that make it simpler to debug errors and improve performance. View the full article
  2. The Amazon Redshift ODBC driver is now open source and available for the user community under the Apache-2.0 license. With this release, customers will gain enhanced visibility to the driver implementation and can contribute to its development. Users can browse the code for the ODBC driver on the relevant AWS GitHub repository, submit driver functionality enhancements through Github pull requests, and report issues for review. View the full article
  3. Amazon Aurora now supports R6i instances powered by 3rd generation Intel Xeon Scalable processors. R6i instances are the 6th generation of Amazon EC2 memory optimized instances, designed for memory-intensive workloads. These instances are built on the AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor, which delivers practically all of the compute and memory resources of the host hardware to your instances. R6i instances are currently available when using Amazon Aurora PostgreSQL-Compatible Edition. View the full article
  4. Amazon Redshift has improved the performance of Redshift’s classic resize feature and increased the flexibility of the cluster snapshot restore operation. Redshift classic resize is used to resize a cluster in scenarios where you need to change the instance type or transition to a configuration that cannot be supported by elastic resize. Previously, this can take the cluster offline for many hours during resize, but now the cluster can typically be available to process queries in minutes. Clusters can also be resized when restoring from a snapshot and in those cases there could be restrictions. View the full article
  5. Amazon Redshift now supports Row-Level Security (RLS), a new enhancement that simplifies design and implementation of fine-grained access to the rows in tables. With RLS, you can restrict access to a subset of rows within a table based on the users’ job role or permissions and level of data sensitivity with SQL commands. By combining column-level access control and RLS, Amazon Redshift customers can provide comprehensive protection by enforcing granular access to their data. View the full article
  6. Amazon Redshift Serverless, which allows you to run and scale analytics without having to provision and manage data warehouse clusters, is now generally available. With Amazon Redshift Serverless, all users—including data analysts, developers, and data scientists—can now use Amazon Redshift to get insights from data in seconds. Amazon Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics. You only pay for the compute used for the duration of the workloads on a per-second basis. You can benefit from this simplicity without making any changes to your existing analytics and business intelligence applications. View the full article
  7. Amazon Redshift announces GA of Automated Materialized View (AutoMV) that helps you to lower query latency for repeatable workloads. AutoMV minimizes your effort for manually creating and managing materialized views and provides you the same performance benefits of user-created materialized views. Dashboard queries used to provide quick views of key performance indicators (KPIs), events, trends, and other metrics are some examples of workloads that can benefit from AutoMV. Reporting queries scheduled at various frequencies may also benefit from AutoMV. View the full article
  8. Today, Amazon Athena announced enhancements to its console and API which provide more flexibility when using parameterized queries. You can now run parameterized queries directly from the Athena console and an enhanced API that no longer requires you to prepare SQL statements in advance. With today’s launch, it is now easier than before to take advantage of the reusability, simplification, and security benefits of parameterized queries. View the full article
  9. Amazon Keyspaces (for Apache Cassandra) is a scalable, serverless, highly available, and fully managed Apache Cassandra-compatible database service. View the full article
  10. Amazon Relational Database Service (Amazon RDS) Performance Insights now allows you to choose retention periods for your performance history that range from one month up to 24 months. You can also use the RDS Performance Insights free tier, which includes seven days of performance data history and one million API requests per month. We have also adjusted the pricing model, resulting in reduced pricing of 24-month retention for most instance types. View the full article
  11. AWS Database Migration Service (AWS DMS) now supports IBM Db2 z/OS as a source for the full load operational mode. Using AWS Schema Conversion Tool (SCT), you can convert schemas and code objects from IBM DB2 z/OS to Aurora MySQL, Aurora PostgreSQL, MySQL and PostgreSQL targets. Once you have the schema and objects in a format compatible with target database you can utilize AWS DMS to migrate data from IBM DB2 running on the z/OS operating system to any AWS DMS supported targets. View the full article
  12. AWS Database Migration Service (AWS DMS) has expanded functionality by adding support for Babelfish for Aurora PostgreSQL as a target. Babelfish for Aurora PostgreSQL is a new translation layer for Amazon Aurora PostgreSQL-Compatible Edition that enables Aurora to understand commands from applications written for Microsoft SQL Server. Using AWS DMS, you can now perform full load migrations to Babelfish for Aurora PostgreSQL with minimal downtime. View the full article
  13. AWS Database Migration Service (AWS DMS) now supports virtual private cloud (VPC) endpoints as sources and targets. AWS DMS can now connect to any AWS service with VPC endpoints so long as explicitly defined routes to the services are defined in their AWS DMS VPC. View the full article
  14. Relational databases have become the option of choice for organizations wishing to streamline and scale the use, storage and retrieval of data. Many organizations choose AWS Relational Database Service (RDS) to forego the resource-intensive tasks related to database administration including management and continuous oversight. RDS is a fully managed service that simplifies and automates these […] View the full article
  15. The Amazon Relational Database Service (Amazon RDS) Multi-AZ deployment option with one primary and two readable standby database (DB) instances across three Availability Zones (AZs) now supports M5d and R5d instances. This deployment option gives you up to 2x lower transaction commit latency, automated fail overs typically under 35 seconds, and readable standby instances. View the full article
  16. Amazon Quantum Ledger Database (Amazon QLDB) launches a new Console Query Editor providing an improved interface for authoring queries, debugging transactions, and exploring results. The new editor supports tabs for simple management of multiple queries, PartiQL syntax highlighting, query performance statistics, multi-statement transactions, and a timer to track the transaction duration limit. You can search and filter your results across the table view, Ion document view, or CSV view for easy exploration of your results in the format you prefer. Query results can also be downloaded in Ion and CSV formats. View the full article
  17. Amazon Relational Database Service (Amazon RDS) Custom for Oracle now supports Oracle Database versions 12.2 and 18c. Amazon RDS Custom is a managed database service for applications that require customization of the underlying operating system and database environment. With support now added for 12.2 and 18c, you can now run your legacy, packaged and customized applications that are dependent on these database versions on Amazon RDS Custom for Oracle. View the full article
  18. GraphQL has been garnering much interest as a way to seamlessly interact with backend services. The query language is a boon for frontend developers, too, as it conveniently allows you to fetch the specific fields you require, thus eliminating the potential overfetching or underfetching concerns of REST APIs. And as GraphQL adoption matures within organizations, […] View the full article
  19. MySQL is one of the oldest and most reliable open-source relational database management systems which is trusted and used by millions of users on daily basis... View the full article
  20. Amazon DevOps Guru for RDS now supports enablement from within the Amazon RDS Console. Starting today, you can enable Amazon DevOps Guru for RDS to quickly detect, diagnose, and remediate a wide variety of database-related issues in Amazon Aurora databases while creating a new database. You can also now enable Amazon DevOps Guru for RDS from within the RDS Performance Insights page. View the full article
  21. Amazon DynamoDB now enables you to proactively manage your account and table quotas through enhanced integration with Service Quotas. Using Service Quotas, you can now view the current values of all your DynamoDB quotas. You can also monitor the current utilization of your account-level quotas. View the full article
  22. Amazon Relational Database Service (Amazon RDS) for SQL Server now supports TDE enabled database migrations using Native Backup/Restore for Microsoft SQL Server. Previously, you would need to disable TDE on your on-premises TDE enabled SQL Server database in order to migrate to Amazon RDS. View the full article
  23. Following the announcement of updates to the PostgreSQL database by the open source community, we have updated Amazon Aurora PostgreSQL-Compatible Edition to support PostgreSQL 13.7, 12.11, 11.16, and 10.21. These releases contain bug fixes and improvements by the PostgreSQL community. Refer to the Aurora version policy to help you to decide how often to upgrade and how to plan your upgrade process. View the full article
  24. Amazon Aurora PostgreSQL-Compatible Edition now supports the Large Objects (LO) module. The LO module provides support for managing Large Objects (also called LOs or BLOBs). View the full article
  25. Amazon Aurora PostgreSQL-compatible edition now supports zero-downtime patching (ZDP). With ZDP, customers can upgrade to a new PostgreSQL version and apply patches to their Aurora cluster without any downtime. View the full article
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