Understanding Factors Impacting Data Replication Latency in PostgreSQL Across Geographically Distributed Nodes

In an increasingly globalized world, companies and organizations are leveraging distributed systems to handle massive amounts of data across geographically separated locations. Whether it is for ensuring business continuity, disaster recovery, or simply improving data access for users in different regions, replication of data between nodes situated in diverse geographical locations has become a critical aspect of modern database systems.
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A Beginner’s Guide to Sharding PostgreSQL with Citus

PostgreSQL is a powerful and open-source relational database system known for its reliability, flexibility, and advanced features. It handles complex queries, ensures data integrity, and can be extended to meet various needs, making it a popular choice for many applications. However, as your data grows and the number of transactions increases, scaling PostgreSQL can be challenging.
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PostgreSQL is a viable alternative to Oracle – here is why…

Why pay $100,000 for something you can achieve in $5,000? That’s the main question. Oracle is a long-standing giant in the DBMS world, offering a feature-rich platform but at a steep price, often catering to large enterprises with extensive budgets. PostgreSQL, on the other hand, is open source with a liberal license and zero licensing fees.
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Locks in PostgreSQL – Concurrency Benefits and Performance Challenges

PostgreSQL provides robust support for concurrency control through various locking mechanisms. Locks are critical in managing access to data and ensuring consistency and integrity in concurrent environments. Among these mechanisms, exclusive locks play a pivotal role in maintaining data integrity by preventing concurrent modifications.
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Enhancing PostgreSQL Performance Monitoring: A Comprehensive Guide to pg_stat_statements

PostgreSQL has a rich set of features designed to handle complex queries efficiently. Much like any database system, however, its performance can degrade over time due to inefficient queries, improper indexing, and various other factors. To tackle these challenges, PostgreSQL provides several tools and extensions, among which `pg_stat_statements` stands out as a critical component for performance monitoring and tuning. Introduction to pg_stat_statements `pg_stat_statements` is an extension for PostgreSQL that tracks execution statistics of SQL statements. It is designed to provide insight into the performance characteristics of database queries by collecting data on various metrics such as execution time, number of calls, and I/O operations. This extension is immensely useful for database administrators and developers looking to optimize their SQL queries and improve overall database performance.
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