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 2014) added support for JSONB data type.

Storage 321

Storage Database Efficiency Processing 321

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

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

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. mid-priced Androids were slightly faster than 2014's iPhone 6. The Moto G4 , for example. The cheapest (high volume) Androids perform like 2012/2013 iPhones, respectively.

Performance 124

Performance Network Cache Metrics 124

SQL Performance

APRIL 23, 2019

SQL Server 2014 added the ability to perform parallel batch-mode grouped aggregation within a single Hash Match Aggregate operator. Columnstore storage. To understand this, it is necessary to first review how columnstore storage works at a high level: A compressed row group contains a column segment for each column.

Servers 67

Servers Testing Metrics Storage 67