Assume that conflicts are common, hence they implement ACID compliance more strictly.(i) Master-Slave Replication Image Source: Īmongst the multiple physically distinct Database Servers, one of them assumes the responsibility of the Master, and all others become its slaves ( followers to be exact). A master is responsible for database updates and any update/change is first propagated through the Master.Īfter the change is committed, the Master instructs all its slaves to apply the same change and keep themselves in sync with the master. After a change is committed on a slave, the slave intimates the Master that its ready for more new updates. Replication is used to keep distributed databases in sync, such that if one of them fails another can take its place and start serving the users. Broadly speaking there can be 2 Replication strategies for Relational Databases. Most modern applications require physically distributed databases that should remain in sync with each other, in order to improve response times, failover, reliability, performance, etc. MariaDB vs PostgreSQL Parameters: Replication Strategies MariaDB has a much smaller footprint than Postgre, making it ideal for smaller databases that need to respond quickly, and are running on smaller machines. Whereas MariaDB is more flexible, it autocorrects the incoming data to match the destination data type, accepts the data but also generates an alert! Hence, MariaDB is preferred in many modern applications where data input from users could be a bit erratic but the application needs to be a bit intelligent and accept slight discrepancies. PostgreSQL is more strictly typed, which means that if incoming data is slightly non-conformant with the destination data type, PostgreSQL will throw an error and will not allow insertion. PostgreSQL is more inclined towards strict data integrity. MariaDB vs PostgreSQL Parameters: Data Typing If the volume of data to be handled by the database is substantial, PostgreSQL offers faster reads and writes, hence it’s the preferred database in cases where speed of data access and turnaround time matter a lot. MariaDB vs PostgreSQL Parameters: Table Inheritance and Object Orientation.MariaDB vs PostgreSQL Parameters: JSON and NoSQL Support.MariaDB vs PostgreSQL Parameters: Partitioning.MariaDB vs PostgreSQL Parameters: Advanced Features.MariaDB vs PostgreSQL Parameters: Replication Strategies.MariaDB vs PostgreSQL Parameters: Data Typing.MariaDB vs PostgreSQL Parameters: Speed.In this post, we will discuss the differences between MariaDB and PostgreSQL, more importantly how these differences impact the choice of database, given an application’s nature and its constraints.Īfter reading this blog, it will be easier for you to decide which of these 2 databases suffice your application needs better. MariaDB vs PostgreSQL Parameters: Table Inheritance and Object Orientation MariaDB vs PostgreSQL Parameters: JSON and NoSQL Support MariaDB vs PostgreSQL Parameters: Partitioning MariaDB vs PostgreSQL Parameters: Advanced Features Simplify ETL Using Hevo’s No-code Data Pipeline.
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