UnityJDBC Supported Databases
UnityJDBC supports any JDBC-accessible data source including full-featured databases such as Oracle, Microsoft SQL Server, PostgreSQL, MySQL, Sybase, and IBM DB2 as well as NoSQL systems such as MongoDB, Splunk, and ServiceNow. Each data source has a different SQL dialect and supports certain functions. Data sources without their own database id inherit features from the SQL99 standard dialect (id=99) and the Common SQL functions dialect (id=1000). A dialect may inherit the features of another dialect then modify or add its own features.
A database identifier is specified in the databaseId tag of the schema file to identify the source dialect. The dialect can also be set in code using the following statements:
SourceDatabase db = con.getDatabase("OrderDB"); // Retrieve the database called OrderDB
db.setDatabaseId(10100000); // Set database dialect for Microsoft SQL Server
Database Identifiers
| Database Id | Name | Inherited Dialect |
|---|---|---|
| 1 | Generic NoSQL System | |
| 10 | Single Table | |
| 99 | SQL99 | |
| 100 | IonDB | 1 |
| 1000 | Common SQL | 99 |
| 10060500 | Microsoft SQL Server 6.5 | 1000 |
| 10070000 | Microsoft SQL Server 7.0 | 10060500 |
| 10080000 | Microsoft SQL Server 2000 | 10070000 |
| 10090000 | Microsoft SQL Server 2005 | 10080000 |
| 10100000 | Microsoft SQL Server 2008 | 10090000 |
| 10100500 | Microsoft SQL Server 2010 | 10100000 |
| 10110000 | Microsoft SQL Server 2012 | 10100500 |
| 10120000 | Microsoft SQL Server 2014/Azure SQL | 10110000 |
| 10130000 | Microsoft SQL Server 2016 | 10120000 |
| 10140000 | Microsoft SQL Server 2017 | 10130000 |
| 10150000 | Microsoft SQL Server 2019 | 10140000 |
| 15080000 | Microsoft Access 97 | 1000 |
| 15090000 | Microsoft Access 2000 | 15080000 |
| 15100000 | Microsoft Access 2002 | 15090000 |
| 15110000 | Microsoft Access 2003 | 15100000 |
| 15120000 | Microsoft Access 2007 | 15110000 |
| 15140000 | Microsoft Access 2010 | 15120000 |
| 15150000 | Microsoft Access 2013 | 15140000 |
| 15160000 | Microsoft Access 2016 | 15150000 |
| 15160100 | Microsoft Access 2019 | 15150000 |
| 16120000 | Microsoft Excel | 99 |
| 17010000 | Microsoft Excel Driver | 10 |
| 20080000 | Oracle8i | 1000 |
| 20090000 | Oracle9i | 20080000 |
| 20100000 | Oracle10g | 20090000 |
| 20110000 | Oracle11g | 20100000 |
| 20120000 | Oracle12c | 20110000 |
| 20180000 | Oracle18c | 20120000 |
| 20190000 | Oracle19c | 20180000 |
| 30090000 | IBM DB2 9 | 1000 |
| 30100000 | IBM DB2 10 | 30090000 |
| 30100500 | IBM DB2 10.5 | 30100000 |
| 30110500 | IBM DB2 11.5 | 30100000 |
| 40060503 | PostgreSQL 6 | 1000 |
| 40070430 | PostgreSQL 7 | 40060503 |
| 40080408 | PostgreSQL 8 | 40070430 |
| 40090004 | PostgreSQL 9 | 40080408 |
| 40100000 | PostgreSQL 10 | 40090004 |
| 40110000 | PostgreSQL 11 | 40100000 |
| 40120000 | PostgreSQL 12 | 40110000 |
| 41051000 | Greenplum | 40080408 |
| 50120000 | Teradata 12 | 1000 |
| 50130000 | Teradata 13 | 50120000 |
| 50140000 | Teradata 14 | 50130000 |
| 50150000 | Teradata 15 | 50140000 |
| 50160000 | Teradata 16 | 50150000 |
| 51030000 | VectorWise | 1000 |
| 60050091 | MySQL 5.0 | 1000 |
| 60050143 | MySQL 5.1 | 60050091 |
| 60050503 | MySQL 5.5 | 60050143 |
| 60050700 | MySQL 5.7 | 60050503 |
| 60080000 | MySQL 8 | 60050503 |
| 61100400 | MariaDB 10 | 60050503 |
| 70070000 | Sybase SQL Anywhere 7 | 1000 |
| 70080000 | Sybase SQL Anywhere 8 | 70070000 |
| 70090000 | Sybase SQL Anywhere 9 | 70080000 |
| 70100000 | Sybase SQL Anywhere 10 | 70090000 |
| 70110000 | Sybase SQL Anywhere 11 | 70100000 |
| 70120000 | Sybase SQL Anywhere 12 | 70110000 |
| 71150500 | Sybase Adaptive Enterprise Server 15.5 | 1000 |
| 80020202 | MongoDB 2.2 | 1 |
| 80020400 | MongoDB 2.4 | 80020202 |
| 80030000 | MongoDB v3 | 80020400 |
| 80040000 | MongoDB v4 | 80030000 |
| 82030000 | ServiceNow | 10 |
| 83020007 | Cassandra | 10 |
| 84060000 | Splunk | 1 |
| 85010000 | Quandl | 1 |
| 86010000 | Hazelcast | 1 |
| 87010000 | Cognos | 10 |
| 88010000 | Cognos TM1 | 1 |
| 90070000 | Pervasive.SQL 7 | 1000 |
| 90080000 | Pervasive.SQL v8 | 90070000 |
| 90090000 | Pervasive PSQL v9 | 90080000 |
| 90100000 | Pervasive PSQL v10 | 90090000 |
| 90110000 | Pervasive PSQL v11/12 | 90100000 |
| 92010032 | SQLite v1 | 1000 |
| 92020816 | SQLite v2 | 92010032 |
| 92030706 | SQLite v3 | 92020816 |
| 94020500 | Firebird v2 | 1000 |
| 95010800 | HSQLDB 1.8 | 1000 |
| 95020100 | HSQLDB 2.1 | 95010800 |
| 95020200 | HSQLDB 2.2 | 95020100 |
| 95020500 | HSQLDB 2.5 | 95020200 |
| 97001100 | Apache Pig | 1 |
| 98010000 | ParStream | 1000 |