PostgreSQL is usually sufficient
Posted: Mon Jan 27, 2025 5:43 am
The starting point for answering the question can be to consider the pros and cons of a "one size fits all" strategy. The argument for this is that the data is stored consistently at the transaction level. This means that all changes are reflected in the entire system. The second major advantage is the high availability configuration. Last but not least, a single system is also easier to monitor.
The main advantage of decentralization is that several services can be tuned independently of one another for their performance, which means that a complete system upgrade is not necessary. In addition, a company can carry out diagnostics on austria telegram screening individual services, which may enable it to locate problems more quickly. However, a company must always ask itself one crucial question when taking this approach: What extensive architectural adjustments and extensions are required - for example with regard to load balancing, connection pooling or caching? It is also clear that designing a data service layer that is based on many types of data storage can be a very complex task.
There is a lot to be said for using a single database architecture. But when does it make sense to separate services? The answer lies in the specific data usage pattern. PostgreSQL is designed for vertical scalability. Only one system can receive changes to data at a time. This limitation determines the maximum number of transactions an application can have that PostgreSQL allows.
The main advantage of decentralization is that several services can be tuned independently of one another for their performance, which means that a complete system upgrade is not necessary. In addition, a company can carry out diagnostics on austria telegram screening individual services, which may enable it to locate problems more quickly. However, a company must always ask itself one crucial question when taking this approach: What extensive architectural adjustments and extensions are required - for example with regard to load balancing, connection pooling or caching? It is also clear that designing a data service layer that is based on many types of data storage can be a very complex task.
There is a lot to be said for using a single database architecture. But when does it make sense to separate services? The answer lies in the specific data usage pattern. PostgreSQL is designed for vertical scalability. Only one system can receive changes to data at a time. This limitation determines the maximum number of transactions an application can have that PostgreSQL allows.