PostgreSQL

Source and Destination Databases

Before you begin

Before you begin, gather this connection information:

• Name of the server that hosts the database you want to connect to

• Database name

• User name and password

• Are you connecting to an SSL server?

Connect and set up the workspace

Launch Syntho and select Connect to a database, or under Create workspace, select PostgreSQL. For a complete list of data connections, select More under From database. Then do the following:

1. Enter the name of the server that hosts the database that you want to connect to.

2. Enter the database name to connect to the contained database.

3. Enter the port number.

4. Enter user name and password.

   Select the Require SSL check box when connecting to an SSL server.

5. Select Create Workspace. If Syntho can't make the connection, verify that your credentials are correct. If you still can't connect, your computer is having trouble locating the server. Contact your network administrator or database administrator.

Considerations & limitations

• For JSON and XML columns, turn off validation in target and/or enable ALTER permission for user.

Supported data types

This table outlines the support and limitations for various data types in PostgreSQL when using connectors. It indicates what's supported per generator type, and if any additional processing is performed by Syntho to successfully generate and write the data.

Data type	Type	AI-powered generation	Mockers	Mask	Calculated columns	Other
SMALLINT	discrete	True	True	True	True	-
INTEGER	discrete	True	True	True	True	-
BIGINT	discrete	True	True	True	True	-
DECIMAL	continuous	True	True	True	True	-
NUMERIC	continuous	True	True	True	True	-
REAL	continuous	True	True	True	True	-
DOUBLE	continuous	True	True	True	True	-
CHAR	categorical	True	True	True	True	-
VARCHAR	categorical	True	True	True	True	-
TEXT	categorical	True	True	True	True	-
BYTEA	bytes	False	False	False	False	-
BOOLEAN	bool	False	True	False	False	-
DATE	datetime	True	True	True	False	-
TIME	datetime	True	True	True	False	-
TIMESTAMP	datetime	True	True	True	False	-
INTERVAL	no active support	False	True	True	True	-
JSON	json	True	True	False	False	JSON / XML de-identification (Coming soon)
JSONB	json	True	True	False	False	JSON / XML de-identification (Coming soon)
HSTORE	no active support	True	True	True	True	-
UUID	uuid	False	True	True	False	-
INET	no active support	False	True	True	True	-
CIDR	no active support	False	True	True	True	-
TSVECTOR	no active support	True	True	True	True	-
TSQUERY	no active support	True	True	True	True	-
POINT	no active support	False	True	True	True	-
LSEG	no active support	False	True	True	True	-
BOX	no active support	False	True	True	True	-
PATH	no active support	False	True	True	True	-
POLYGON	no active support	False	True	True	True	-
LINE	no active support	False	True	True	True	-
CIRCLE	no active support	False	True	True	True	-
MONEY	continuous	True	True	True	True	-
OID	no active support	False	True	True	True	-
BIT	discrete	True	True	True	True	-
BIT VARYING	discrete	True	True	True	True	-
ENUM	sets	False	False	False	False	-
TSRANGE	no active support	False	True	True	True	-
TSTZRANGE	no active support	False	True	True	True	-
NUMRANGE	no active support	False	True	True	True	-
INT4RANGE	no active support	False	True	True	True	-
INT8RANGE	no active support	False	True	True	True	-
INT4MULTIRANGE	no active support	False	True	True	True	-
INT8MULTIRANGE	no active support	False	True	True	True	-
XML	no active support	False	False	False	False	JSON / XML de-identification (Coming soon)(Content may be <blank>blank</blank> if no rule applies.)
ARRAY INT	no active support	True	True	True	True	-
ARRAY VARCHAR	no active support	True	True	True	True	-
FLOAT	continuous	True	True	True	True	-
MACADDR	no active support	False	True	True	True	-
MACADDR8	categorical	False	True	True	True	-
REGCONFIG	no active support	True	True	True	True	-
REGCLASS	no active support	False	True	True	True	-
DATERANGE	no active support	False	True	True	True	-

Data types that are labeled as "no active support" mean that they are not actively supported, however, you may still be able to apply generators (e.g., AI-powered generation, mask, mockers or calculated columns) to these columns. Duplication is fully supported for these types.