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Migration to MariaDB
IBM DB2 to MariaDB
Informix to MariaDB
MySQL to MariaDB
Oracle to MariaDB
SQL Server to MariaDB
Sybase ASE to MariaDB
Sybase ASA to MariaDB
PostgreSQL to MariaDB
Migration to Oracle
IBM DB2 to Oracle
Informix to Oracle
Sybase ASE to Oracle
Sybase ASA to Oracle
SQL Server to Oracle
Teradata to Oracle
PostgreSQL to Oracle
MySQL to Oracle
Oracle PL/SQL to Java
COBOL to Oracle PL/SQL
Migration to SQL Server
IBM DB2 to SQL Server
Informix to SQL Server
MySQL to SQL Server
Netezza to SQL Server
Oracle to SQL Server
PostgreSQL to SQL Server
Redshift to SQL Server
Sybase ASE to SQL Server
Sybase ASA to SQL Server
Sybase ADS to SQL Server
Migration to MySQL
IBM DB2 to MySQL
Informix to MySQL
Sybase ASE to MySQL
Oracle to MySQL
SQL Server to MySQL
PostgreSQL to MySQL
Migration to PostgreSQL
IBM DB2 to PostgreSQL
Informix to PostgreSQL
Sybase ASE to PostgreSQL
Sybase ASA to PostgreSQL
Oracle to PostgreSQL
SQL Server to PostgreSQL
MySQL to PostgreSQL
Hive to PostgreSQL
Migration to SingleStore
Migration to IBM DB2
Migration to Redshift
Hadoop to Redshift
Netezza to Redshift
Oracle to Redshift
SQL Server to Redshift
Teradata to Redshift
Migration to Snowflake
IBM DB2 to Snowflake
Hive to Snowflake
Oracle to Snowflake
SQL Server to Snowflake
Spark to Snowflake
Teradata to Snowflake
Migration to Apache Hive
MySQL to Hive
Oracle to Hive
Redshift to Hive
SQL Server to Hive
Teradata to Hive
Migration to Spark
Oracle to Spark
Redshift to Spark
SQL Server to Spark
Teradata to Spark
Migration to Presto/Trino
Hive to Trino
Oracle to Trino
Redshift to Trino
SQL Server to Trino
Teradata to Trino
Migration to Netezza
Migration to Greenplum
Migration to EsgynDB
Application Conversion
Database Reference
Database Migration Ranking - Year 2023
SQLines database migration ranking according to Online SQL Converter use. Note that the report can be biased for many reasons. 
Users
11,895 unique users (by IP addresses) in January 2023:
| Region | % of Users | |
| 1 | Asia Pacific | 47.29 |
| 2 | Europe | 20.52 |
| 3 | US and Canada | 13.38 |
| 4 | Latin America | 9.64 |
| 5 | Middle East | 6.02 |
| 6 | Africa | 3.09 |
Top 10 Source Databases
Source databases for migration (total % of users can exceed 100% as some users consider multiple migrations):
| Source | % of Users | |
| 1 | Oracle | 35.16 |
| 2 | Microsoft SQL Server | 31.38 |
| 3 | MySQL | 27.97 |
| 4 | PostgreSQL | 7.37 |
| 5 | MariaDB | 3.09 |
| 6 | IBM DB2 | 2.16 |
| 7 | Sybase ASE | 0.82 |
| 8 | Spark | 0.71 |
| 9 | Teradata | 0.62 |
| 10 | Sybase SQL Anywhere | 0.49 |
Top 5 Source Databases by Region
Source databases for migration (total % of users can exceed 100% as some users consider multiple migrations).
Asia Pacific:
| Source | % of Users in Region | |
| 1 | Oracle | 38.92 |
| 2 | MySQL | 29.10 |
| 3 | Microsoft SQL Server | 28.98 |
| 4 | PostgreSQL | 6.72 |
| 5 | MariaDB | 3.00 |
Europe:
| Source | % of Users in Region | |
| 1 | Oracle | 31.46 |
| 2 | MySQL | 30.23 |
| 3 | Microsoft SQL Server | 29.91 |
| 4 | PostgreSQL | 8.52 |
| 5 | MariaDB | 5.00 |
US and Canada:
| Source | % of Users in Region | |
| 1 | Oracle | 38.34 |
| 2 | Microsoft SQL Server | 31.62 |
| 3 | MySQL | 21.81 |
| 4 | PostgreSQL | 6.98 |
| 5 | IBM DB2 | 4.21 |
Latin America:
| Source | % of Users in Region | |
| 1 | Microsoft SQL Server | 38.01 |
| 2 | Oracle | 30.95 |
| 3 | MySQL | 24.32 |
| 4 | PostgreSQL | 8.11 |
| 5 | MariaDB | 2.53 |
Middle East:
| Source | % of Users in Region | |
| 1 | Microsoft SQL Server | 38.55 |
| 2 | MySQL | 29.47 |
| 3 | Oracle | 24.72 |
| 4 | PostgreSQL | 8.66 |
| 5 | Teradata | 2.37 |
Africa:
| Source | % of Users in Region | |
| 1 | Microsoft SQL Server | 42.51 |
| 2 | MySQL | 31.06 |
| 3 | Oracle | 21.53 |
| 4 | PostgreSQL | 6.81 |
| 5 | MariaDB | 2.72 |
Top 10 Target Databases
Target databases for migration (total % of users can exceed 100% as some users consider multiple migrations):
| Target | % of Users | |
| 1 | PostgreSQL | 32.19 |
| 2 | Microsoft SQL Server | 27.73 |
| 3 | MySQL | 22.75 |
| 4 | Oracle | 21.50 |
| 5 | MariaDB | 5.50 |
| 6 | Spark | 2.72 |
| 7 | Snowflake | 1.66 |
| 8 | Google BigQuery | 1.36 |
| 9 | IBM DB2 | 1.34 |
| 10 | Databricks | 1.25 |
Top 5 Target Databases by Region
Target databases for migration (total % of users can exceed 100% as some users consider multiple migrations):
Asia Pacific:
| Target | % of Users in Region | |
| 1 | PostgreSQL | 33.48 |
| 2 | MySQL | 25.53 |
| 3 | Microsoft SQL Server | 24.71 |
| 4 | Oracle | 20.71 |
| 5 | MariaDB | 6.99 |
Europe:
| Target | % of Users in Region | |
| 1 | PostgreSQL | 34.86 |
| 2 | Microsoft SQL Server | 27.61 |
| 3 | MySQL | 21.67 |
| 4 | Oracle | 20.57 |
| 5 | MariaDB | 4.96 |
US and Canada:
| Target | % of Users in Region | |
| 1 | Microsoft SQL Server | 34.95 |
| 2 | PostgreSQL | 29.29 |
| 3 | Oracle | 20.49 |
| 4 | MySQL | 16.97 |
| 5 | Snowflake | 4.59 |
Latin America:
| Target | % of Users in Region | |
| 1 | PostgreSQL | 31.82 |
| 2 | Microsoft SQL Server | 30.43 |
| 3 | Oracle | 24.32 |
| 4 | MySQL | 17.61 |
| 5 | MariaDB | 5.49 |
Middle East:
| Target | % of Users in Region | |
| 1 | Microsoft SQL Server | 33.38 |
| 2 | Oracle | 28.07 |
| 3 | PostgreSQL | 22.91 |
| 4 | MySQL | 21.79 |
| 5 | MariaDB | 3.35 |
Africa:
| Target | % of Users in Region | |
| 1 | MySQL | 30.25 |
| 2 | PostgreSQL | 26.70 |
| 3 | Microsoft SQL Server | 24.25 |
| 4 | Oracle | 21.80 |
| 5 | MariaDB | 3.81 |
Top 20 Database Migrations
Database migrations (total % of users can exceed 100% as some users consider multiple migrations):
| Source | Target | % of Users | |
| 1 | Oracle | Microsoft SQL Server | 14.62 |
| 2 | Oracle | PostgreSQL | 10.93 |
| 3 | MySQL | PostgreSQL | 10.32 |
| 4 | Microsoft SQL Server | PostgreSQL | 10.31 |
| 5 | Microsoft SQL Server | Oracle | 10.09 |
| 6 | Microsoft SQL Server | MySQL | 9.94 |
| 7 | Oracle | MySQL | 9.58 |
| 8 | MySQL | Microsoft SQL Server | 9.49 |
| 9 | MySQL | Oracle | 7.41 |
| 10 | PostgreSQL | Oracle | 2.80 |
| 11 | Oracle | MariaDB | 2.61 |
| 12 | PostgreSQL | MySQL | 2.22 |
| 13 | PostgreSQL | Microsoft SQL Server | 2.19 |
| 14 | Microsoft SQL Server | MariaDB | 1.69 |
| 15 | MariaDB | PostgreSQL | 1.11 |
| 16 | Oracle | Spark | 0.93 |
| 17 | MariaDB | Microsoft SQL Server | 0.90 |
| 18 | MySQL | MariaDB | 0.84 |
| 19 | MariaDB | Oracle | 0.82 |
| 20 | IBM DB2 | Microsoft SQL Server | 0.71 |
Top 5 Database Migrations by Region
Databases migrations (total % of users can exceed 100% as some users consider multiple migrations):
Asia Pacific:
| Source | Target | % of Users in Region | |
| 1 | Oracle | Microsoft SQL Server | 13.16 |
| 2 | Oracle | PostgreSQL | 13.12 |
| 3 | Oracle | MySQL | 11.52 |
| 4 | Microsoft SQL Server | MySQL | 10.68 |
| 5 | MySQL | PostgreSQL | 10.33 |
Europe:
| Source | Target | % of Users in Region | |
| 1 | Oracle | Microsoft SQL Server | 13.85 |
| 2 | MySQL | PostgreSQL | 13.15 |
| 3 | Microsoft SQL Server | PostgreSQL | 11.02 |
| 4 | Microsoft SQL Server | Oracle | 9.87 |
| 5 | MySQL | Microsoft SQL Server | 9.55 |
US and Canada:
| Source | Target | % of Users in Region | |
| 1 | Oracle | Microsoft SQL Server | 20.55 |
| 2 | Microsoft SQL Server | Oracle | 12.45 |
| 3 | Oracle | PostgreSQL | 10.87 |
| 4 | Microsoft SQL Server | PostgreSQL | 10.25 |
| 5 | MySQL | Microsoft SQL Server | 8.61 |
Latin America:
| Source | Target | % of Users in Region | |
| 1 | Oracle | Microsoft SQL Server | 18.13 |
| 2 | Microsoft SQL Server | Oracle | 14.56 |
| 3 | Microsoft SQL Server | PostgreSQL | 13.16 |
| 4 | MySQL | PostgreSQL | 10.37 |
| 5 | Microsoft SQL Server | MySQL | 9.76 |
Middle East:
| Source | Target | % of Users in Region | |
| 1 | MySQL | Microsoft SQL Server | 17.04 |
| 2 | Microsoft SQL Server | Oracle | 15.64 |
| 3 | Oracle | Microsoft SQL Server | 12.57 |
| 4 | Microsoft SQL Server | MySQL | 11.31 |
| 5 | Microsoft SQL Server | PostgreSQL | 11.17 |
Africa:
| Source | Target | % of Users in Region | |
| 1 | Microsoft SQL Server | MySQL | 21.53 |
| 2 | Microsoft SQL Server | Oracle | 13.62 |
| 3 | MySQL | PostgreSQL | 12.53 |
| 4 | MySQL | Microsoft SQL Server | 10.90 |
| 5 | Oracle | Microsoft SQL Server | 9.54 |
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