LogoLogo
Go to Syntho.AI
English
English
  • Welcome to Syntho
  • Overview
    • Get started
      • Syntho bootcamp
        • 1. What is Syntho?
        • 2. Introduction data anonymization
        • 3. Connectors & workspace creation
        • 4. PII scan
        • 5. Generators
          • Mockers
          • Maskers
          • AI synthesize
          • Calculated columns
          • Free text de-identification
        • 6. Referential integrity & foreign keys
        • 7. Workspace synchronization & validation
        • 8. Workspace & user management
        • 9. Large workloads​
        • 10. AI synthesis: Data pre-processing when using
      • Prerequisites
      • Sample datasets
      • Introduction to data generators
      • AI-generated synthetic data
    • Frequently asked questions
  • Setup Workspaces
    • View workspaces
    • Create a workspace
      • Connect to a database
        • PostgreSQL
        • MySQL / MariaDB
        • Oracle
        • Microsoft SQL Server
        • DB2
        • Databricks
          • Importing Data into Databricks
        • Hive
        • SAP Sybase
        • Azure Data Lake Storage (ADLS)
        • Amazon Simple Storage Service (S3)
      • Workspace modes
    • Edit a workspace
    • Duplicate a workspace
    • Transfer workspace ownership
    • Share a workspace
    • Delete a workspace
    • Workspace default settings
  • Configure a Data Generation Job
    • Configure table settings
    • Configure column settings
      • AI synthesize
        • Sequence model
          • Prepare your sequence data
        • QA report
        • Additional privacy controls
        • Cross-table relationships limitations
      • Mock
        • Text
          • Supported languages
        • Numeric (integer)
        • Numeric (decimal)
        • Datetime
        • Other
      • Mask
        • Text
        • Numeric (integer)
        • Numeric (decimal)
        • Datetime
        • UUID
      • Duplicate
      • Exclude
      • Consistent mapping
      • Calculated columns
      • Key generators
        • Differences between key generators
      • JSON de-identification
    • Manage personally identifiable information (PII)
      • Privacy dashboard
      • Discover and de-identify PII columns
        • Identify PII columns manually
        • Automatic PII discovery with PII scanner
      • Remove columns from PII list
      • Automatic PII discovery and de-identification in free text columns
      • Supported PII & PHI entities
    • Manage foreign keys
      • Foreign key inheritance
      • Add virtual foreign keys
        • Add virtual foreign keys
        • Use foreign key scanner
        • Import foreign keys via JSON
        • Export foreign keys via JSON
      • Delete foreign keys
    • Validate and synchronize workspace
    • View and adjust generation settings
  • Deploy Syntho
    • Introduction
      • Syntho architecture
      • Requirements
        • Requirements for Docker deployments
        • Requirements for Kubernetes deployments
      • Access Docker images
        • Online
        • Offline
    • Deploy Syntho using Docker
      • Preparations
      • Deploy using Docker Compose
      • Run the application
      • Manually saving logs
      • Updating the application
      • Backup
    • Deploy Syntho using Kubernetes
      • Preparations
      • Deploy Ray using Helm
        • Upgrading Ray CRDs
        • Troubleshooting
      • Deploy Syntho using Helm
      • Validate the deployment
      • Troubleshooting
      • Saving logs
      • Upgrading the applications
      • Backup
    • Manage users and access
      • Single Sign-On (SSO) in Azure
      • Manage admin users
      • Manage non-admin users
    • Logs and monitoring
      • Does Syntho collect any data?
      • Temporary data storage by application
  • Syntho API
    • Syntho REST API
Powered by GitBook
On this page
  • Before you begin
  • Connect and set up the workspace
  • Limitations
  • Supported data types

Was this helpful?

  1. Setup Workspaces
  2. Create a workspace
  3. Connect to a database

SAP Sybase

PreviousHiveNextAzure Data Lake Storage (ADLS)

Last updated 17 days ago

Was this helpful?

Warning

The Sybase Connector/Python DBAPI is a currently no longer maintained by SAP and has no support for versions 16 below. The Sybase dialect is not tested as part of Syntho’s continuous integration, due to the unavailability of adequate test databases / environments.

Before you begin

Before you begin, gather this connection information:

  • Name of the server you want to connect to, port number, and if you use single sign-on, service name

  • The database name

  • Optionally, the name of the schema that you want to connect to

  • 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 Create workspace. Then select SAP Sybase from Type under The connection details. For a complete list of data connections, click Type under The connection details. 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 your 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.

Limitations

Contact your Syntho contact person to discuss possible limitations regarding this connector.

Supported data types

The following table outlines the support and limitations for various data types in Sybase ASE 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
AI-powered Generation
Mockers
Mask
Calculated Columns
Other

INT

-

BIGINT

-

SMALLINT

-

TINYINT

-

DECIMAL

-

NUMERIC

-

FLOAT

-

REAL

-

MONEY

-

SMALLMONEY

-

DATE

False

-

TIME

False

-

SMALLDATETIME

False

-

DATETIME

False

-

BIGDATETIME

False

-

BIGTIME

False

-

CHAR

-

VARCHAR

-

NCHAR

-

NVARCHAR

-

TEXT

-

UNITEXT

Completely excluded from writing

BINARY

False

False

False

False

Writing BINARY might fail unless ODBC is configured

VARBINARY

False

False

False

False

-

IMAGE

False

False

False

False

-

BIT

False

False

False

Completely excluded from writing

UNICHAR

Completely excluded from writing

UNIVARCHAR

False

False

False

False

Completely excluded from writing

TIMESTAMP

False

False

False

False

Completely excluded from writing

*Some data types are not actively supported; however, certain generators such as AI synthesize, mask, mockers, or calculated columns may still show 'True' for these fields. This means the generators can be applied, even though the types are not actively supported. Duplication is fully supported for these data types.

True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
Source and Destination Databases
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True
True