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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