All Things Distributed

OCTOBER 17, 2016

It brings the worldwide total of AWS Availability Zones (AZs) to 38, and the number of regions globally to 14. 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.

AWS 127

AWS Cloud Infrastructure Analytics 127

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. This information can be a mix of analytical (OLAP) queries (i.e. Inserts are efficient for bulk inserts only.

Database 40

Database Analytics Blockchain Healthcare 40

Scalegrid

JULY 17, 2020

Why should a relational database even care about unstructured data? If you store each of the keys as columns, it will result in frequent DML operations – this can be difficult when your data set is large - for example, event tracking, analytics, tags, etc. JSON database in 9.2 JSONB Patterns & Antipatterns.

Storage 321

Storage Database Efficiency Processing 321

Percona

JUNE 4, 2023

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.

Open Source 52

Open Source Servers Storage Scalability 52

Alex Russell

MARCH 6, 2021

Back in 2016, I gave a talk outlining the causes and effects of the terrible performance of web apps built using popular tools on the fastest-growing device segment: low-end to mid-range Android phones. Modern network performance and availability. The cheapest (high volume) Androids perform like 2012/2013 iPhones, respectively.

Performance 124

Performance Network Cache Metrics 124

SQL Performance

AUGUST 11, 2021

Bucketizing date and time data involves organizing data in groups representing fixed intervals of time for analytical purposes. One is using a function called DATE_BUCKET , which at the time of writing is only available in Azure SQL Edge. In my examples, I’ll use the sample database TSQLV5. DATE_BUCKET. 2017 343 495118.14

Azure 139

Azure Code Database Servers 139

Percona

JANUARY 17, 2019

On multi-core machines – which is the majority of the hardware nowadays – and in the cloud, we have multiple cores available for use. In this article, we will look at how this can improve the reporting/analytical query performance in MySQL. With faster disks (i.e. SSD) we can’t utilize the full potential of IOPS with just one thread.

Cache 46

Cache C++ AWS Airlines 46