Use the CData ODBC Driver for Kintone in SAS for Real-Time Reporting and Analytics

SAS is a software suite developed for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics. When you pair SAS with the CData ODBC Driver for Kintone, you gain database-like access to live Kintone data from SAS, expanding your reporting and analytics capabilities. This article explains how to create a library for Kintone in SAS and create a simple report based on real-time Kintone data.

The CData ODBC Driver offers unmatched performance for interacting with live Kintone data in SAS due to optimized data processing built into the driver. When you issue complex SQL queries from SAS to Kintone, the driver pushes supported SQL operations, like filters and aggregations, directly to Kintone and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can easily visualize and analyze Kintone data in SAS.

Connect to Kintone as an ODBC Data Source

Information for connecting to Kintone follows, along with different instructions for configuring a DSN in Windows and Linux environments (the ODBC Driver for Kintone must be installed on the machine hosting the SAS System).

In addition to the authentication values, set the following parameters to connect to and retrieve data from Kintone:

• Url: The URL of your account.
• GuestSpaceId: Optional. Set this when using a guest space.

Authenticating with Kintone

Kintone supports the following authentication methods.

Using Password Authentication

You must set the following to authenticate:

• User: The username of your account.
• Password: The password of your account.

Using Basic Authentication

If the basic authentication security feature is set on the domain, supply the additional login credentials with BasicAuthUser and BasicAuthPassword. Basic authentication requires these credentials in addition to User and Password.

Using Client SSL

Instead of basic authentication, you can specify a client certificate to authenticate. Set SSLClientCert, SSLClientCertType, SSLClientCertSubject, and SSLClientCertPassword. Additionally, set User and Password to your login credentials.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Windows

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Linux

If you are installing the CData ODBC Driver for Kintone in a Linux environment, the driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties.

/etc/odbc.ini

[CData Kintone Sys]
Driver = CData ODBC Driver for Kintone
Description = My Description
User = myuseraccount
Password = mypassword
Url = http://subdomain.domain.com
GuestSpaceId = myspaceid

For specific information on using these configuration files, please refer to the help documentation (installed and found online).

Create a Kintone Library in SAS

Connect to Kintone in SAS by adding a library based on the CData ODBC Driver for Kintone.

1. Open SAS and expand Libraries in the Explorer pane.
2. In the Active Libraries window, right-click and select New.
3. Name your library (odbclib), select ODBC as the Engine, and click to Enable at startup (if you want the library to persist between sessions).
4. Set Data Source to the DSN you previously configured and click OK. 👁 Creating a library for Kintone in SAS.
   

Create a View from a Kintone Query

SAS natively supports querying data either using a low-code, point-and-click Query tool or programmatically with PROC SQL and a custom SQL query. When you create a View in SAS, the defining query is executed each time the view is queried. This means that you always query live Kintone data for reports, charts, and analytics.

Using the Query Tool

1. In SAS, click Tools -> Query
2. Select the table sources and the table(s) you wish to pull data from. Then, click OK. 👁 Selecting table(s) to visualize.
   
3. Select columns and right-click to add filtering, ordering, grouping, etc. 👁 Selecting columns(s) to visualize and configuring the query.
   
4. Create a local view to contain the query results by right-clicking the SQL Query Tool window, selecting Show Query, and clicking Create View. Name the View and click OK. 👁 Create a local view to work with Kintone data.
   

Using PROC SQL

1. In SAS, navigate to the Editor window.
2. Use PROC SQL to query the data and create a local view.
   NOTE: This procedure creates a view in the Work library. You can optionally specify a library in the create view statement.

   proc sql;
    create view comments_view as
    select 
    creatorname, 
    text 
    from 
    odbclib.comments 
    where 
    AppId = '1354841';
   quit;
   

3. Click Run -> Submit to execute the query and create a local view.

Report On or Visualize Kintone Data in SAS

With a local view created, you can report, visualize, or otherwise analyze Kintone data using the powerful SAS features. Print a simple report using PROC PRINT and create a basic graph based on the data using PROC GCHART.

Print an HTML Report

1. In SAS, navigate to the Editor window.
2. Use PROC PRINT to print an HTML report for the Kintone Comments data.

   proc print data=comments;
    title "Kintone Comments Data";
   run;
   

   👁 A simple Kintone data report.
   

Print a Chart

1. In SAS, navigate to the Editor window.
2. Use PROC GCHART to create a chart for the Comments data.

   proc gchart data=comments;
    pie creatorname / sumvar=text
    value=arrow
    percent=arrow
    noheading
    percent=inside plabel=(height=12pt)
    slice=inside value=none
    name='CommentsChart';
   run;
   

   👁 A simple Kintone data chart.