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Ellen Vasil

How to Migrate from Oracle to PostgreSQL

How to Migrate from Oracle to PostgreSQL

Here is described a case of migration from Oracle server to PostgreSQL server for large supplier of goods. This article covers each stage of migration, potential issues, and ways to solve them. In most cases, companies switch from Oracle to PostgreSQL to reduce costs. Oracle licenses are paid and quite

One-way synchronization without triggers with the ability to use threads by default

One-way synchronization without triggers with the ability to use threads by default

Multi-threading is a feature which a platform (for example an Operating System or a Virtual Machine) or an application may have. It means that a process generated in the operating system can consist of several threads running in parallel, that is, without a specific order in time. Such division allows

Data Synchronization Made Easy: A Step-by-Step Guide for Oracle and PostgreSQL sync.

database synchronization

Data Synchronization Made Easy: A Step-by-Step Guide for Oracle and PostgreSQL sync.

Learn how to synchronize data between Oracle and PostgreSQL databases effectively. Understand the synchronization strategy, perform initial data copy, and implement synchronization mechanisms.

Migration of large data with multiple threads.

Migration of large data with multiple threads.

As you know, our DBConvert Studio parallel migration function speeds up data migration process between the most popular on-premise databases and cloud-based. This is achieved by dividing the database table data into multiple parts and handling them in parallel. This saves a lot of conversion time. But why not speed

Use parallel migration in DBConvert software to speed up the conversion process.

parallel migration

Use parallel migration in DBConvert software to speed up the conversion process.

The mechanism of multi-thread data processing is necessary in today's business environment to achieve high performance through splitting and parallel processing of data in multiple threads. This allow converting data between most-popular databases more efficient and faster.