2022
DBSync's Database connector comes with support for many of the commonly used databases which are of JDBC compliant like oracle, Mysql, DB2 etc. It is implemented in a way so that any user who uses database connector can perform operations of select, Insert, update and delete records on databases. The Database connector contains connection properties of external database like credentials, endpoint URLs, password and these properties are dynamic in nature i.e. for different databases the properties vary and are listed in connector configuration section.
A single connector instance created in a project can be used across different processes but processes should belong to the same project.
To establish a connection to any of the desired database via DBSync database connector, the user has to do the following.
A Database connector instance represents a single database connection. If a user wishes to connect to multiple instances of the different databases, create a separate connection for each and configure the URL accordingly. The below table represent parameters required for opening the connection to the database.
Property | Description | Required |
---|---|---|
Username | Database username | yes |
Password | Database password | yes |
Host | Host name or IP address of the database server | yes |
Port | The port used to connect to database server | yes |
Database | The name of your database | yes |
Type | JDBC Driver for the Databases mentioned in the URL section in the same order.
| yes |
Database URL | JDBC connection string
| yes |
The below table lists out the additional properties that are required while writing/updating to a database. We have a auto create feature and is enabled when target connector is database so that it replicates the whole source schema.
Property | Description | Required | Default Value |
---|---|---|---|
Auto create | True if you want the table to be created automatically | no | false |
Table | Name of the table to write into | yes | empty |
Write type | one of create, update or upsert operations | yes | empty |
Prefix | The prefix excluding the '.' operator used for the field names | no | empty |
Pkey | Comma separated list of primary key column names | Required if update or upsert | true |
The below table lists the advanced properties that are required while updating the source.
Property | Description | Required | Default Value |
---|---|---|---|
Table | Name of the table to write into | yes | Empty |
Prefix | The prefix excluding the '.' used for the field names | no | Empty |
Pkey | Comma separated list of primary key column names | Required if Update or Upsert | true |
Supported Databases
The Database connector supports all the database which are JDBC or ODBC compliant. some of the database which we support are as follows.
Q: Does Database connector support Bi-directional data flow?
A: Yes, and you also have the control to make it uni-directional if you chose.
Q: How frequently one can sync the data if reading from or writing to any of the supported databases?
A: The sync can be performed every five minute interval of time.
Q: Is this connector available with both on-demand and on-premise versions?
A: Yes, the Database connector can be used both on-demand and on-premise versions of DBSync Cloud Workflow
Q: How can I try Database connector before purchasing the license?
A: We have a free trial for 15 days after going through the sign up process.
Q: Can both source and target be as database connector?
A: Yes if the integration requirement demands, one can use the database connector to talk to different database or to same databases with different user instances.