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There are a vast number of PostgreSQL clients available on the Internet. PostgreSQL is a popular interface for data access. When you pair PostgreSQL with CData Connect AI, you gain database-like access to live Sage Intacct data from PostgreSQL. In this article, we walk through the process of connecting to Sage Intacct data in Connect AI and establishing a connection between Connect AI and PostgreSQL using a TDS foreign data wrapper (FDW).
CData Connect AI provides a pure SQL Server interface for Sage Intacct, allowing you to query data from Sage Intacct 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 Sage Intacct, leveraging server-side processing to return the requested Sage Intacct data quickly.
CData provides the easiest way to access and integrate live data from Sage Intact. Customers use CData connectivity to:
Users frequently integrate Sage Intact with analytics tools such as Tableau, Power BI, and Excel, and leverage our tools to replicate Workday data to databases or data warehouses.
To learn about how other customers are using CData's Sage Intacct solutions, check out our blog: Drivers in Focus: Accounting Connectivity.
CData Connect AI uses a straightforward, point-and-click interface to connect to data sources.
To connect using the Login method, the following connection properties are required: User, Password, CompanyId, SenderId and SenderPassword.
User, Password, and CompanyId are the credentials for the account you wish to connect to.
SenderId and SenderPassword are the Web Services credentials assigned to you by Sage Intacct.
๐ Configuring a connection (Salesforce is shown)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.
With the connection configured and a PAT generated, you are ready to connect to Sage Intacct data from PostgreSQL.
The Foreign Data Wrapper can be installed as an extension to PostgreSQL, without recompiling PostgreSQL. The tds_fdw extension is used as an example (https://github.com/tds-fdw/tds_fdw).
sudo apt-get install git git clone https://github.com/tds-fdw/tds_fdw.git cd tds_fdw make USE_PGXS=1 sudo make USE_PGXS=1 installNote: If you have several PostgreSQL versions and you do not want to build for the default one, first locate where the binary for pg_config is, take note of the full path, and then append PG_CONFIG=
sudo service postgresql start
psql -h localhost -U postgres -d postgresNote: Instead of localhost you can put the IP where your PostgreSQL is hosted.
After you have installed the extension, follow the steps below to start executing queries to Sage Intacct data:
CREATE EXTENSION tds_fdw;
CREATE SERVER "SageIntacct1" FOREIGN DATA WRAPPER tds_fdw OPTIONS (servername'tds.cdata.com', port '14333', database 'SageIntacct1');
CREATE USER MAPPING for postgres SERVER "SageIntacct1" OPTIONS (username '[email protected]', password 'your_personal_access_token' );
CREATE SCHEMA "SageIntacct1";
#Using a table_name definition: CREATE FOREIGN TABLE "SageIntacct1".Customer ( id varchar, TotalDue varchar) SERVER "SageIntacct1" OPTIONS(table_name 'SageIntacct.Customer', row_estimate_method 'showplan_all'); #Or using a schema_name and table_name definition: CREATE FOREIGN TABLE "SageIntacct1".Customer ( id varchar, TotalDue varchar) SERVER "SageIntacct1" OPTIONS (schema_name 'SageIntacct', table_name 'Customer', row_estimate_method 'showplan_all'); #Or using a query definition: CREATE FOREIGN TABLE "SageIntacct1".Customer ( id varchar, TotalDue varchar) SERVER "SageIntacct1" OPTIONS (query 'SELECT * FROM SageIntacct.Customer', row_estimate_method 'showplan_all'); #Or setting a remote column name: CREATE FOREIGN TABLE "SageIntacct1".Customer ( id varchar, col2 varchar OPTIONS (column_name 'TotalDue')) SERVER "SageIntacct1" OPTIONS (schema_name 'SageIntacct', table_name 'Customer', row_estimate_method 'showplan_all');
SELECT id, TotalDue FROM "SageIntacct1".Customer;
Now, you have created a simple query from live Sage Intacct data. For more information on connecting to Sage Intacct (and more than 200 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live Sage Intacct data in PostgreSQL.
Learn more about CData Connect AI or sign up for free trial access:
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