In my previous article I have already given some differences like SQL vs TSQL In this article I would like to give information about Oracle vs PostgreSQL with real examples. Oracle is a for-profit product with exorbitant pricing tiers and additional fees for supplemental services. Since procurement, installation, and support are all free, PostgreSQL comfortably wins this comparison. An additional triumph for the open source approach. Patches, modifications, upgrades, and more are readily available in the PostgreSQL community, which is very active. Even solutions to issues that come up during upgrades or installation are quick to locate. With Oracle, on the other hand, support is not free. Large enterprises that decide to use PostgreSQL can also choose to pay for professional assistance, with prices typically lower than those of Oracle. A read cluster created by Postgres can have an infinite number of nodes, which allows for almost cost-free read operations. And as a result, you can configure it differently depending on the workload. Oracle also allows for this, although there are additional costs for each node.
Oracle and PostgreSQL difference with Key Technical points :
Application Code Evaluation
The more Oracle-specific frameworks your application code uses as opposed to open classes, the more difficult your conversion will be. Your application architecture and database connection layer will determine how much adjustment you need to make. The switch should be rather simple if your Java code uses general JDBC classes rather than Oracle-specific ones. If you employ an object-relational mapping (ORM) system like JCA or Hibernate, it ought to be simple in a similar manner. Although some modifications will still be required, switching the dialect from Oracle to Postgres may be trivially simple.
If you link to Oracle-specific libraries like OCI or the Oracle JDBC classes, use embedded SQL like Oracle’s Pro*C, or dynamically build SQL, the problem becomes more complicated. The underlying application logic must be thoroughly understood before these can be adjusted, and they should be thoroughly tested.
Cleaning up and evaluating the architecture
The design and architecture of your database, as well as its contents, can have a big impact on how easy or difficult a migration will be. An excellent chance to organize your architecture and database contents is presented by migration. Deprecate any objects that are no longer required, including old temporary tables or data backups; they aren’t worth moving if nobody will use them. If your database contains huge files like photographs or PDFs, think about whether you can divide them into a less expensive storage solution to reduce the size of your database and the resources required for backup and restore operations. Remove any static historical data if possible, or switch to an archive store option.
Schema
In Oracle, a schema also goes by the term “User” and shares the same name. Every Oracle user by default has their own schema. These are not the same in Postgres, and new objects will by default be added to a public schema if no specific schema is specified.
Specify the same name for the user and the schema.
By default, $user is the first element in the schema search path.
One benefit of the Postgres configuration is that one user can create numerous schemas without having to create separate users, and they can grant others access to create objects in those schemas.
Version Control in Oracle and PostgreSQL
Both Oracle and PostgreSQL are supported by DBmaestro’s Source Control solution. And it functions with every IDE. It is very simple and easy to alter procedure code, create new tables, and review modifications. Work with any git repository and save your changes in one location. Push the modifications when you’re ready so that the other teams may pull them. The code to include all database updates will be automatically generated by DBmaestro’s Source Control solution. In actuality, MySQL, MariaDB, MsSQL, and PostgreSQL are all compatible with DBmaestro’s Source Control. Anyone can test out their Source Control solution for free thanks to their free trial offer. For a brief demonstration of how it functions, see their website.
Oracle vs PostgreSQL Difference in Tabular format :
| Difference | Oracle | PostgreSQL |
| Definition | A commercial relational database management system is called Oracle. These include the document store, key-value store, RDF store, and graph database management system. | It is an object-relational database management system that works with a number of SQL features, including triggers, foreign keys, and subqueries. It additionally supports a wide range of user-defined types and functions. |
| Language Used | It has been written in C and C++. | C Only |
| Licence | License used is a commercial tool | It is an Open Source Licence |
| Productivity | Based on its technical benefits, it boosts productivity because it processes more transactions per second than PostgreSQL. | It is less productive than Oracle Database because it has less transactions per second than Oracle Databases does. |
| Supported Programming Language | C, C++, C#, Cobol, Java, JavaScript, Lisp, Perl, PHP, Python, R, Ruby, Tcl, Scala, and many other programming languages are supported by Oracle. | It is compatible with a number of programming languages, including PHP, JavaScript (Node.js), C, C++,.Net, Perl, Python, and Tcl. |
| Features | 1. Fast-Start Database Failover to Standby. 2. Enterprise intelligence. 3. Using SQL with Analytical ApplicationsClustering. 4. Performance of Real Application Clusters (RAC). 5. Management of content. 6. Database as a whole. 7. Security for databases. 8. Grid Technology. | 1. Intricate SQL queries. 2. Sub-selects in SQL. 3. overseas keys. 4. Trigger. 5. Control for multiple versions of concurrency (MVCC) |
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