Because YugabyteDB is PostgreSQL compatible, it works with IntelliJ IDEA out of the box. See how to test out basic IntelliJ features with YugabyteDB distributed SQL database.
IntelliJ IDEA is a popular integrated development environment (IDE) written in Java for developing software. It is developed by JetBrains and is available as an Apache 2 licensed community edition and in a proprietary commercial edition. IntelliJ supports a variety of datasources within their IDE. Because YugabyteDB is PostgreSQL compatible, most third-party tools and apps will work “out of the box.” IntelliJ is no exception here.
In this blog post we’ll walk you though the following steps:
New to distributed SQL or YugabyteDB? Read on.
Distributed SQL databases are becoming popular with organizations interested in moving data infrastructure to the cloud or cloud native environments. This is often motivated by the desire to reduce TCO or move away from the horizontal scaling limitations of monolithic RDBMS like Oracle, PostgreSQL, MySQL, and SQL Server. The basic characteristics of Distributed SQL are:
SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
We’ll show the basics of writing SQL queries and working with data in IntelliJ IDEA. From basics — how to write a simple query faster to some more complicated stuff: updating data, creating run configurations, using language injections
The next step in the evolution of database architecture is distributed SQL. Take a look at some of the characteristics here.As organizations transition to the cloud, they eventually find that the legacy relational databases that are behind some of their most critical applications simply do not take advantage of the promise of the cloud and are difficult to scale.
In this article, take a look at distributed SQL tips for PostgreSQL and Oracle DBAs. Welcome to this week’s tips and tricks blog where we explore both beginner and advanced YugabyteDB topics for PostgreSQL and Oracle DBAs. First things first, for those of you who might be new to either distributed SQL or YugabyteDB.
See how to get total row counts of data in tables across various dimensions (per-table, per-schema, and in a given database)–a useful SQL technique!