Iam trying to come up with a solution for two employees who access data from our AS400 through Excel. One employee is creating spreadsheets and works on a 64-bit machine. The other employee will take those spreadsheets to refresh the data, but that employee is on a 32-bit machine. Each can successfully use their own respective 32- or 64- bit driver.
make sure both users are using 32 bit versions of office and that your user on the 64 bit machine creates and uses 32 bit ODBC connections. (both 32 and 64 bit ODBC connections exist on an 64 machine, however the 32 bit version is hidden)
ODBC is the most widely supported interface for connecting applications with data. All kinds of BI, Reporting, ETL, Database, and Analytics tools offer the ability to read and write data via ODBC connectivity.
As the most widely used interface to relational data, ODBC interfaces are accessible from everymajor development technology, including PHP, Python, Delphi, Visual Basic, Labview, PowerBuilder,FoxPro, FileMaker Pro, and more.
Through the Excel ODBC Driver applications like Microsoft Word allow users to directlyaccess live Microsoft Excel data with powerful capabilitieslike 'Mail Merge', eliminating the need for complicated import/export procedures.
Our exclusive Remoting feature allows hosting the ODBC connection on a server to enable connections from various clients on any platform (Java, .NET, C++, PHP, Python, etc.), using any standards based technology (ODBC, JDBC, etc.). ODBC Remoting is enabled using the popular MySQL and SQL (TDS) wire protocol server.
The data model exposed by our ODBC Drivers can easily be customized to add or remove tables/columns, change data types, etc. without requiring a new build. These customizations are supported at runtime using human-readable schema files that are easy to edit.
Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands include many features that allow for intelligent incremental updates to cached data.
With traditional approaches to remote access, performance bottlenecks can spell disasterfor applications. Regardless if an application is created for internal use, a commercial project, web, or mobileapplication, slow performance can rapidly lead to project failure. Accessing data from any remote source has the potentialto create these problems. Common issues include:
The CData ODBC Driver for Excel solves many of these issues with support for replication queries that can be used to sync data to local databases, greatly improving the performance and dramatically reduce application bottlenecks.
The CData ODBC drivers include powerful fully-integrated remote access capabilities that makes Microsoft Excel data accessible from virtually anywhere. The drivers include the CData SQL Gateway, which can the optional ability to accept incoming SQL and MySQL client connections and service standard database requests.
With the CData SQL Gateway, users can interact with Microsoft Excel data from any client that supports SQL Server or MySQL: from Web & mobile applications, to CRM and CMS systems, BI tools like SQL Server Analysis Services, and even through popular management applications like MySQL Workbench.Access Microsoft Excel data from virtually any application that can access external data. Applications that can access SQL Server or MySQL data can now connect to Microsoft Excel with this driver.
Not natively. However, CData offers an ODBC driver for Excel that allows you to connect to Excel data from any ODBC-compliant application, just like you would access a traditional database. This can be useful for tasks like:
The Excel ODBC driver is an ODBC 3.8 compliant native protocol-based driver with comprehensive ANSI SQL-92 support. This means that virtually any application that can connect to data via ODBC, can use the CData ODBC driver for real-time integration. Download a fully functional free trial of the Excel ODBC driver today to get started.
Yes, the CData ODBC driver for Excel provides universal ODBC data connectivity for Excel. The Excel ODBC driver offers a simple SQL-based layer of abstraction that simplifies real-time data access for users and applications, enabling them to communicate with Excel using a standardized set of functions. Virtually any application on any platform (including Windows, macOS, or *nix) can use the CData ODBC driver for real-time integration.
Connectivity to Excel via ODBC is easy. First, download and install the Excel ODBC driver. The download page includes separate installers for Windows, macOS, and Unix, so please select the Excel ODBC driver that matches the platform where you intend to use the driver.
Once the installation is complete, navigate to the ODBC driver documentation page. Here, you'll find a wealth of information about the installed driver. The step-by-step instructions for creating a DSN and using it to connect to Excel via ODBC are just the beginning. The documentation also provides extensive configuration details for using the Excel ODBC driver with all your favorite applications and development tools, ensuring you have all the support you need.
To install the Excel driver, simply download one of the Excel ODBC driver installers available online. The download page includes separate Windows, macOS, and Unix installers, so please select the Excel ODBC driver that matches the platform where you intend to use the driver. The installers are comprehensive setup utilities that will install all the components required to use the Excel ODBC driver on your system.
The Excel ODBC driver is available in both 32-bit and 64-bit binaries. The Excel driver installer will allow you to install both options, and you can select the ODBC driver binary that is appropriate for the system where you intend to use the driver.
Absolutely. The Excel ODBC driver seamlessly supports pyODBC connectivity. For example, check out this article on our online knowledgebase that demonstrates how you can connect to Excel from PyCharm using pyODBC and the Excel ODBC driver.
You can use an ODBC connection to connect to your Amazon Redshift cluster from many third-party SQL client tools and applications. To do this, set up the connection on your client computer or Amazon EC2 instance. If your client tool supports JDBC, you might choose to use that type of connection rather than ODBC due to the ease of configuration that JDBC provides. However, if your client tool doesn't support JDBC, follow the steps in this section to configure an ODBC connection.
Amazon Redshift provides 64-bit ODBC drivers for Linux, Windows, and macOS X operating systems. The 32-bit ODBC drivers are discontinued. Further updates will not be released, except for urgent security patches.
You install the Amazon Redshift ODBC driver on client computers accessing an Amazon Redshift data warehouse. Each computer where you install the driver must meet a list of minimum system requirements. For information about minimum system requirements, see the Amazon Redshift ODBC connector installation and configuration guide.
Use the following procedure to download the Amazon Redshift ODBC drivers for Windows operating systems. Only use a driver other than these if you're running a third-party application that is certified for use with Amazon Redshift and that requires a specific driver.
After you download and install the ODBC driver, add a data source name (DSN) entry to the client computer or Amazon EC2 instance. SQL client tools use this data source to connect to the Amazon Redshift database.
We recommend that you create a system DSN instead of a user DSN. Some applications load the data using a different user account. These applications might not be able to detect user DSNs that are created under another user account.
For authentication using AWS Identity and Access Management (IAM) credentials or identity provider (IdP) credentials, additional steps are required. For more information, see Configure a JDBC or ODBC connection to use IAM credentials.
Enter a name for the data source. You can use any name that you want to identify the data source later when you create the connection to the cluster. For example, if you followed the Amazon Redshift Getting Started Guide, you might type exampleclusterdsn to make it easy to remember the cluster that you associate with this DSN.
Specify the endpoint for your Amazon Redshift cluster. You can find this information in the Amazon Redshift console on the cluster's details page. For more information, see Configuring connections in Amazon Redshift.
Enter the name of the Amazon Redshift database. If you launched your cluster without specifying a database name, enter dev. Otherwise, use the name that you chose during the launch process. If you followed the Amazon Redshift Getting Started Guide, enter dev.
Under Authentication, specify the configuration options to configure standard or IAM authentication. For information about authentication options, see "Configuring Authentication on Windows" in Amazon Redshift ODBC Connector Installation and Configuration Guide.
Choose a mode for handling Secure Sockets Layer (SSL). In a test environment, you might use prefer. However, for production environments and when secure data exchange is required, use verify-ca or verify-full. For more information about using SSL on Windows, see "Configuring SSL Verification on Windows" in Amazon Redshift ODBC Connector Installation and Configuration Guide.
Under Additional Options, specify options on how to return query results to your SQL client tool or application. For more information, see "Configuring Additional Options on Windows" in Amazon Redshift ODBC Connector Installation and Configuration Guide.
In Logging Options, specify values for the logging option. For more information, see "Configuring Logging Options on Windows" in Amazon Redshift ODBC Connector Installation and Configuration Guide.
Under Data Type Options, specify values for data types. For more information, see "Configuring Data Type Options on Windows" in Amazon Redshift ODBC Connector Installation and Configuration Guide.
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