![]() ![]() net data Provider doesn’t support CommandType.StoredProcedure. Earlier versions worked only with functions.įor example, Npgsql. Version Compatibility – Please note that Store Procedures were not introduced until PostgreSQL Version 11.However, the rest has to be done manually and tested accordingly. The good news – most of the code can be migrated automatically using tools such as the AWS Schema Conversion Tool (AWS SCT) or Ora2Pg. Code Migration Issues – Porting the code to work with PostgreSQL is a big challenge.You may want to use date-based partitions, which makes it easier to choose and isolate the data that is moved offline. However, bigger databases can be time and resource (bandwidth) consuming if done in the traditional way. Large Data Volumes – Migrating small databases (100GB or less) is quite easy.However, if you’re using a packaged software app which does not certify on PostgreSQL, migrating cannot be commenced without asking the vendor to move PostgreSQL to its supported database list. Packaged Applications – PostgreSQL is ACID-compliant and conforms to the ANSI SQL:2008 standard.For example, The PostgreSQL “Timestamp With Time Zone” field is the actual equivalent to Oracle’s “Timestamp With Local Time Zone”. However, some differences can cause issues if not tested properly. Performance Bugs – Most PostgreSQL data types are easier to work with than their corresponding Oracle ones.The common perception is that migrating databases is an easy process, but there can be many hiccups if the following issues are not addressed. But how should you make this move? Let’s take a closer look at Oracle to PostgreSQL migration. The potential problems mentioned above don’t mean that commercial database solutions are going away, but more and more companies are migrating to PostgreSQL due to its inherited advantages. ![]() PostgreSQL, also known as Postgres, eliminates most of these issues. Commercial solutions like Oracle Database present numerous challenges to the modern customer – licensing costs, choosing from various complex packages, inconsistent customer support, and audit risk being just a few of them. ![]()
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