Learn about PostgreSQL and how you can leverage an open-source relational database management system.
As you can see, PostgreSQL is growing its superiority over a closed database such as Oracle DB, whose popularity is steadily declining. MongoDB, as another representative of open database systems, has been holding steady in terms of interest for some time. In the case of PostgreSQL, an upwa...
In this section, we discuss each component, and how they interact with one another. Given below is an illustration of the PostgreSQL architecture. Initially, a request is sent by the client to the server. Then, the PostgreSQL server processes data using shared buffers and background processes....
It specifies the amount of memory that will be used by the ORDER BY, DISTINCT and JOIN before writing to the temporary files on disk. As with the shared_buffers, if we configure this parameter too low, we can have more operations going into disk, but too high is dangerous for the memor...
The PostgreSQL 16 query planner now considers performing incremental sorts forSELECT DISTINCTqueries. Prior to PG16, when the sorting method was chosen forSELECT DISTINCTqueries, the planner only considered performing a full sort (which is more expensive than an incremental sort.) ...
Aggregates having ORDER BY or DISTINCT can use pre-sorted data Previously, we always needed to sort tuples before doing aggregation. With PostgreSQL 16, an index can provide pre-sorted input, which will be directly used for aggregation EXPLAIN (COSTS OFF) SELECT SUM(c1 ORDER BY c1), MAX...
PostgreSQL:Yes In summary, there are distinct uses for both PostgreSQL and MySQL, and the choice between them depends upon enterprise objectives and resources. In general, PostgreSQL is a more robust, advanced database management system, well-suited for an organization that needs to perform complex...
MySQL or PostgreSQL: Which one do you choose? While the lines between these two popular systems are heavily blurred, there are a few distinct features that make one option more ideal than the other in particular situations. When deciding between MySQL and PostgreSQL, consider factors such as dat...
Databases can be categorized into two types: relational and non-relational. Each handles data in unique ways, offering distinct data management strategies to suit different business requirements. Here’s how they differ. Relational databases Relational databases, which commonly use SQL (Structured Query...
RDBMS can handle a larger amount of data as compared to DBMS, in a more efficient manner. It doesn’t have data redundancy and is used by larger organizations plus its data fetching rate is also higher. Examples – MySQL, SQL Server, PostgreSQL, etc. SQL vs NoSQL SQL (Structured Query ...