PostgreSQL to SQL Server conversion and synchronization tools.

With our DBConvert/DBSync applications, you can easily synchronize and convert your databases from PostgreSQL to Microsoft SQL Server or to Windows Azure SQL Databases. Amazon RDS PostgreSQL/Heroku Postgres instances can also be used as a source or target. The wizard-style interface will guide you through all the steps of performing migration and replication jobs efficiently and effectively.

Reasons to migrate from PostgreSQL to MS SQL Server?

  1. Compatibility with other systems: If you are using other systems or applications that are compatible only with SQL Server, then converting your PostgreSQL database to SQL Server can make it easier to integrate with these systems.
  2. Performance: In some cases, SQL Server may offer better performance than PostgreSQL, especially for complex queries or large datasets.
  3. Features: SQL Server offers a number of features that are not available in PostgreSQL, such as support for in-memory OLTP, automatic tuning, and advanced security features.
  4. Ease of use: Some users may find SQL Server easier to use or more familiar than PostgreSQL, which could make it a better choice for certain projects.

The new DBConvert parallel migration mechanism is optimized to take full advantage of modern multi-core processors, which speeds up data migration between databases by splitting tables into multiple parts and processing them in parallel.

In scenarios where you have server restrictions, you can create an MS SQL Dump file with all the data from your PostgreSQL database.

Why you might want to synchronize a PostgreSQL database with an SQL Server DB?

  • Data replication: Synchronizing the databases allows you to replicate data between the two systems, which can be useful for backup, disaster recovery, or creating a data warehouse.
  • Improved performance: Synchronizing the databases can help improve performance by allowing you to distribute the workload between the two systems. For example, you could use PostgreSQL for transactional processing and SQL Server for reporting and analysis.
  • Integration with other systems: Synchronizing the databases can make it easier to integrate with other systems or applications that use SQL Server.
  • Consolidation of data: Synchronizing the databases can help you consolidate data from multiple sources, making it easier to manage and analyze.
  • Cross-platform compatibility: Synchronizing the databases allows you to work with data across platforms, which can be useful if you are using a mix of Windows and Linux systems.

The DBSync application performs synchronization and replication from a PostgreSQL source to Microsoft SQL Server smoothly due to

three synchronization types (Drop, Insert, Update).

Additionally, our built-in scheduler lets you to launch automatically, with no interaction required from you.

 MS SQL configuration for DBConvert  Windows Azure SQL databases Configuration for DBConvert  PostgreSQL Server configuration for DBConvert  Amazon RDS configuration manual for DBConvert.  Heroku Postgres configuration manual for DBConvert.
Supported databases:
  • Microsoft SQL Server
  • PostgreSQL
  • CockroachDB
  • SQL Azure
  • Amazon RDS
  • Heroku Postgres
  • MS SQL Dump
  • PostgreSQL Dump
  • PHP Script
 DBConvert for MSSQL & PostgreSQL

Version: 3.6.7

Release Date: Oct. 2, 2023

 Download 24.5 MB  Order from US$ 179
 DBSync for MSSQL & PostgreSQL

Version: 2.9.8

Release Date: Oct. 24, 2023

 Download 28.3 MB  Order from US$ 179

Try All-in-one DB migration and Sync software.

DBConvert Studio

 Version: 3.5.2

Release Date: Nov. 30, 2023

Supported databases:

  • SQL Server
  • MySQL
  • MariaDB
  • Percona
  • Oracle
  • PostgreSQL
  • Access
  • FoxPro
  • SQLite
  • Interbase
  • Firebird
  • IBM DB2
  • MS Azure SQL
  • Amazon RDS
  • Amazon Aurora
  • Heroku Postgres
  • Google Cloud
  About Studio   Download 120.8 MB      Order from US$ 599

Using PostgreSQL to SQL Server conversion and synchronization tools.

When launching the DBConvert or DBSync application in GUI mode, it seamlessly guides you through the steps to initiate database migration or synchronization:

1. Connect to PostgreSQL source database.

Specify the username/password and host/port parameters if your source database requires login credentials.

Connect to PostgreSQL source database from DBConvert

2. Connect to SQL Server destination database.

Specify parameters for the destination database similar to the source, defining connection settings and username/password pairs.

Connect to SQL Server target database from DBConvert

NOTE #1: Each DBConvert or DBSync tool's name comprises two different databases, enabling any specified database to operate as the source or destination. Furthermore, the same type of database can function as both the source and destination.

NOTE #2: Connections to cloud databases (e.g., Amazon RDS, Google Cloud, or Azure SQL) aren't explicitly specified in the user interface but use the same settings as traditional on-premises databases.

NOTE #3: Connections to source and target databases remain active until you close the DBConvert/DBSync application or reopen new connections.

Refer to our documentation for specific source/ destination configurations for different databases.

3. Configure database migration options.

Specify the tables, fields, indices, and views you want to transfer to the SQL Server destination database by checking/unchecking the corresponding boxes.

Customize general database/ tables settings. Or configure specific table , field, index object individually when migrating data.

Explore our articles in the user's manual about Configuring database migration options. for detailed information.

The screenshot below summarizes the general features available in DBConvert software.

DBConvert screenshot
  1. Select a direct connection or choose dump file as a workaround for firewalls.
  2. Views translation
  3. Flexible customization for all database elements
  4. Bulk Insert and Quantization options are used for speeding up the processing of large data volumes
  5. Conditional data migration and data filters.
  6. Full UNICODE architecture support
  7. Data mapping
  8. Detection of potential data migration issues before starting.
  9. Command line mode. Scheduling
  10. Savable configurations/ sessions

4. Detection of potential database migration issues. Errors and Warnings

The database enforces certain relations on the data, and on the customization step, an intelligent error checker verifies all possible data integrity and referential integrity issues. It highlights any problems before migration starts.

By default, DBConvert attempts to automatically map the database types of the source PostgreSQL database to the closest equivalent of the target SQL Server database types. However, you can manually change the data types for the entire database globally using the "Global mapping" or individually for each field.

Explore the Intelligent error checker for more information. on errors and warnings

5. Execution. The final stage of data migration.

Initiate the conversion or synchronization process after configuring source and destination databases in the previous steps.

Click the "Commit" button to start conversion. Here, you can also monitor the migration/synchronization process.

Optionally save connection settings and configuration parameters into the session file to schedule the launching of sync or migration jobs regularly.

Execution step of DBConvert products

Explore more about the options available during the execution stage

Command line mode

Pass previously saved sessions as parameters to the Command-Line DBConvert Client. A session retains PostgreSQL source and SQL Server target database connection settings with other specified options.

Example:

C:\Program Files\DBConvert\mssql2postgresqlPro\mssql2postgresqlPro_Cons.exe /Session:"Session_Name"

NOTE: First, run the software in GUI mode to create a session file with initial parameters.

Built-in scheduler.

Our applications include a built-in scheduler to run database migration and sync jobs at specified times. Set the scheduled date and time to execute job sessions automatically.

Find more Information about the built-in scheduler

DBConvert screenshot

Supported OS:

Requirements

  • Necessary privileges to write into database on the target SQL Server (this requirement is optional as there is an option to overcome the restrictions using dump file)
  • Necessary privileges to write into database on the target PostgreSQL server (this requirement is optional as there is an option to overcome the restrictions using dump file or PHP Script)

Related Links

Highlights

Explore details regarding reverse migration.

SQL Server to PostgreSQL migration and synchronization tools.