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Weekend Reading: Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases.

All Things Distributed

In many, high-throughput, OLTP style applications the database plays a crucial role to achieve scale, reliability, high-performance and cost efficiency. For a long time, these requirements were almost exclusively served by commercial, proprietary databases.

Database 120
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New Metadata-Only Column Changes in SQL Server 2016

SQL Performance

Depending on the type of change and the configuration of the database, an ALTER COLUMN command will need to perform one of the following actions: Change metadata in system tables only. Improvements in SQL Server 2016. The subject of this post is the additional changes that are enabled for metadata-only from SQL Server 2016 onward.

Servers 63
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SQL 2016 – It Just Runs Faster: DBCC Scales 7x Better

SQL Server According to Bob

Internally DBCC CHECK* uses a page scanning coordinator design (MultiObjectScanner.) SQL Server 2016 changes the internal design to (CheckScanner), applying no lock semantics and a design similar to those used with In-Memory Optimized (Hekaton) objects, allowing DBCC operations to scale far better than previous releases.

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Expanding the AWS Cloud: Introducing the AWS US East (Ohio) Region

All Things Distributed

In the remainder of 2016 and inq 2017, we will launch another four AWS regions in Canada, China, the United Kingdom, and France, adding another nine AZs to our global infrastructure footprint. It brings the worldwide total of AWS Availability Zones (AZs) to 38, and the number of regions globally to 14.

AWS 127
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DBCC Trace Flags 2562 and 2549

SQL Server According to Bob

Trace flags 2562 and 2549 are documented in knowledgebase article: [link] and the blog post [link] highlights the SQL 2016 DBCC performance improvements. For SQL Server 2016 the trace flags are available but the behavior may be altered by the design changes. This is behavior is unchanged in SQL Server 2016.

Servers 40
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How It Works (It Just Runs Faster): Non-Volatile Memory SQL Server Tail Of Log Caching on NVDIMM

SQL Server According to Bob

SQL Server 2016 Service Pack 1 (all SKUs) , in combination with Windows Server 2016 (All SKUs) or Windows 10 Client introduces non-volatile memory support for the tail of the log file (LDF) which can significantly increase transaction throughput. Create / Alter Database … LOG ON. Tail Of Log Caching.

Cache 40
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MariaDB vs MySQL: Key Differences and Use Cases

Percona

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation.