Query, Visualize, and Share live Sybase Data in Redash
Redash is a collaboration tool that lets you query, visualize, and share your data. When paired with CData Connect AI, Redash gets access to live Sybase data. This article demonstrates how to connect to Sybase using Connect AI and work with live Sybase data in Redash.
CData Connect AI provides a pure SQL Server interface for Sybase, allowing you to query data from Sybase without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Sybase, leveraging server-side processing to return the requested Sybase data quickly.
Configure Sybase Connectivity for Redash
Connectivity to Sybase from Redash is made possible through CData Connect AI. To work with Sybase data in Redash, we start by creating and configuring a Sybase connection.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "Sybase" from the Add Connection panel
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Enter the necessary authentication properties to connect to Sybase.
To connect to Sybase, specify the following connection properties:
- Server: Set this to the name or network address of the Sybase database instance.
- Database: Set this to the name of the Sybase database running on the specified Server.
Optionally, you can also secure your connections with TLS/SSL by setting UseSSL to true.
Sybase supports several methods for authentication including Password and Kerberos.
Connect Using Password Authentication
Set the AuthScheme to Password and set the following connection properties to use Sybase authentication.
- User: Set this to the username of the authenticating Sybase user.
- Password: Set this to the username of the authenticating Sybase user.
Connect using LDAP Authentication
To connect with LDAP authentication, configure Sybase server-side to use the LDAP authentication mechanism.
After configuring Sybase for LDAP, you can connect using the same credentials as Password authentication.
Connect Using Kerberos Authentication
To leverage Kerberos authentication, begin by enabling it setting AuthScheme to Kerberos. See the Using Kerberos section in the Help documentation for more information on using Kerberos authentication.
You can find an example connection string below:
Server=MyServer;Port=MyPort;User=SampleUser;Password=SamplePassword;Database=MyDB;Kerberos=true;KerberosKDC=MyKDC;KerberosRealm=MYREALM.COM;KerberosSPN=server-name
- Click Save & Test
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Navigate to the Permissions tab in the Add Sybase Connection page and update the User-based permissions.
Add a Personal Access Token
When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
- Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
- On the Settings page, go to the Access Tokens section and click Create PAT.
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Give the PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
With the connection configured and a PAT generated, you are ready to connect to Sybase data from Redash.
Connect to Sybase from Redash using Connect AI
To establish a connection from Redash to CData Connect AI using the Virtual SQL Server, follow these steps:
- Log into Redash.
- Click the settings widget on the top right.
- Click New Data Source.
- Select Microsoft SQL Server as the Data Source Type.
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On the configuration tab, set the following properties:
- Database Name: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, Salesforce1).
- Server: enter the virtual SQL Server host name (tds.cdata.com)
- User: enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
- Password: enter the PAT you generated on the Settings page.
- Port: enter 14333
- Click Create.
- Click Test Connection to ensure that the connection is configured properly.
You can now work with live Sybase data in Redash.
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