Infor Data Lake ODBC Driver Infor Data Lake Connector lets you connect to the Infor Data Lake within the Infor Data Fabric, allowing you to access and utilize your organization's comprehensive data assets. In this article you will learn how to quickly and efficiently integrate Infor Data Lake data in ODBC without coding. We will use high-performance Infor Data Lake Connector to easily connect to Infor Data Lake and then access the data inside ODBC. Let's follow the steps below to see how we can accomplish that! Download Documentation Infor Data Lake ODBC Driver is based on ZappySys JDBC Bridge Driver which is part of ODBC PowerPack. It is a collection of high-performance ODBC drivers that enable you to integrate data in SQL Server, SSIS, a programming language, or any other ODBC-compatible application. ODBC PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few.

Connect to Infor Data Lake in other apps Connect to Infor Data Lake in SSIS Connect to Infor Data Lake in SQL Server Connect to Infor Data Lake in Power BI Connect to Infor Data Lake in SSRS Connect to Infor Data Lake in Informatica Connect to Infor Data Lake in MS Access Connect to Infor Data Lake in MS Excel Connect to Infor Data Lake in SSAS Connect to Infor Data Lake in C# Connect to Infor Data Lake in Python Connect to Infor Data Lake in JAVA Connect to Infor Data Lake in Tableau Connect to Infor Data Lake in SAP Crystal Reports Connect to Infor Data Lake in Azure Data Factory (Pipeline) Connect to Infor Data Lake in Azure Data Factory (SSIS) Connect to Infor Data Lake in Talend Studio Connect to Infor Data Lake in UiPath Connect to Infor Data Lake in PowerShell

Prerequisites

Before we begin, make sure you meet the following prerequisite:

• Java 8 Runtime Environment (JRE) installed. It is recommended to use these distributions:

  • Amazon Corretto 8
  • Oracle JRE 8

Download Infor Data Lake JDBC driver

To connect to Infor Data Lake in ODBC, you will have to download JDBC driver for it, which we will use in later steps. Let's perform these little steps right away:

1. Visit Infor Data Lake video tutorial or official website.
2. Follow the instructions there, download the JDBC driver, and save it locally, e.g. to D:\Drivers\JDBC\infor-compass-jdbc.jar.
   It is recommended to use JDBC driver compiled for Java 8, if possible.
3. Then download ION API file from Infor and place it in the same directory as the JDBC driver, e.g. D:\Drivers\JDBC\Infor Compass JDBC Driver.ionapi.
   Do not rename Infor Compass JDBC Driver.ionapi file as it will fail to load the driver. Also, JDBC driver and ION API file have to reside in the same folder for the driver to work.
4. Done! That was easy, wasn't it? Let's proceed to the next step.

Create ODBC Data Source (DSN) based on ZappySys JDBC Bridge Driver

Step-by-step instructions

To get data from Infor Data Lake using ODBC we first need to create a DSN (Data Source) which will access data from Infor Data Lake. We will later be able to read data using ODBC. Perform these steps:

1. Download and install ODBC PowerPack.

2. Open ODBC Data Sources (x64):

   

3. Create a User data source (User DSN) based on ZappySys JDBC Bridge Driver

   ZappySys JDBC Bridge Driver

   
   • Create and use User DSN if the client application is run under a User Account. This is an ideal option in design-time, when developing a solution, e.g. in Visual Studio 2019. Use it for both type of applications - 64-bit and 32-bit.
   • Create and use System DSN if the client application is launched under a System Account, e.g. as a Windows Service. Usually, this is an ideal option to use in a production environment. Use ODBC Data Source Administrator (32-bit), instead of 64-bit version, if Windows Service is a 32-bit application.

4. Now, we need to configure the JDBC connection in the new ODBC data source. Simply enter the Connection string, credentials, configure other settings, and then click Test Connection button to test the connection:

   InforDataLakeDSN

   jdbc:infordatalake://MY_DATALAKE_ID

   com.infor.idl.jdbc.Driver

   D:\Drivers\JDBC\infor-compass-jdbc.jar

   john.smith@my-company.com

   *********

   []

   

   Use these values when setting parameters:

   • Connection string: jdbc:infordatalake://MY_DATALAKE_ID
   • Driver class: com.infor.idl.jdbc.Driver
   • JDBC driver file(s): D:\Drivers\JDBC\infor-compass-jdbc.jar
   • User name: john.smith@my-company.com
   • User password: *********
   • Connection parameters: []

5. You should see a message saying that connection test is successful:

   

   Otherwise, if you are getting an error, check out our Community for troubleshooting tips.

6. We are at the point where we can preview a SQL query. For more SQL query examples visit JDBC Bridge documentation:

   InforDataLakeDSN

   SELECT * FROM "default"."orders"

   

   SELECT * FROM "default"."orders"

   You can also click on the <Select Table> dropdown and select a table from the list.

   The ZappySys JDBC Bridge Driver acts as a transparent intermediary, passing SQL queries directly to the Trino JDBC driver, which then handles the query execution. This means the Bridge Driver simply relays the SQL query without altering it.

   Some JDBC drivers don't support INSERT/UPDATE/DELETE statements, so you may get an error saying "action is not supported" or a similar one. Please, be aware, this is not the limitation of ZappySys JDBC Bridge Driver, but is a limitation of the specific JDBC driver you are using.

7. Click OK to finish creating the data source.

Video Tutorial

Conclusion

In this article we showed you how to connect to Infor Data Lake in ODBC and integrate data without any coding, saving you time and effort. It's worth noting that ZappySys JDBC Bridge Driver allows you to connect not only to Infor Data Lake, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

We encourage you to download Infor Data Lake Connector for ODBC and see how easy it is to use it for yourself or your team.

If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.

Download Infor Data Lake Connector for ODBC Documentation

More integrations

Other connectors for ODBC

Amazon Ads

Amazon Athena

Amazon Selling Partner (SP-API)

Apache Derby

Asana

Azure DevOps

Cosmos DB

DropBox

ElasticSearch

FastSpring

Google Ads

Google BigQuery

Google Calendar

Google Drive

Google Sheets

Hubspot

Jira

Mailchimp

ManagedEngine ServiceDesk Plus (Zoho)

MariaDB

OData

OneDrive

Outlook Mail (Office 365)

Power BI

ServiceNow

SharePoint Online

Shopify

Smartsheet

Starburst

Stripe

Trino

YouTube

Zendesk

Zoho CRM

Zoho SalesIQ

Zoom

REST API

JSON

JSON File

XML

SOAP

XML File

JDBC-ODBC Bridge

Salesforce

CSV

Amazon S3 JSON File

Amazon S3 XML File

Amazon S3 CSV File

Azure Blob JSON File

Azure Blob XML File

Azure Blob CSV File

FTP/SFTP JSON File

FTP/SFTP XML File

FTP/SFTP CSV File

Build your own Custom API Connector

Other application integration scenarios for Infor Data Lake

SSIS

SQL Server

Power BI

SSRS

Informatica

MS Access

MS Excel

SSAS

C#

Python

JAVA

Tableau

SAP Crystal Reports

Azure Data Factory (Pipeline)

Azure Data Factory (SSIS)

Talend Studio

UiPath

PowerShell

Common Searches: