How To Develop A Connector That Connects Tableau And Obiee

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The integration of Tableau and Oracle Business Intelligence Enterprise Edition (OBIEE) has become a topic of significant interest in the realm of data analysis and visualization. As organizations seek to leverage the power of these two platforms, the need for a connector that seamlessly links Tableau and OBIEE has become apparent. This connector would enable users to easily access and analyze data stored in OBIEE using the intuitive interface of Tableau. In this article, we will explore the components involved in developing such a connector and the steps to be taken to ensure a successful integration. From understanding the requirements to designing an effective solution, we will provide insights and practical tips to help you navigate the process of creating a connector that connects Tableau and OBIEE seamlessly.

Inside This Article

  1. Requirements for Tableau and OBIEE Integration
  2. Overview of Tableau and OBIEE
  3. Designing the Connector Architecture
  4. Step-by-Step Guide for Creating the Connector
  5. Conclusion
  6. FAQs

Requirements for Tableau and OBIEE Integration

Integrating Tableau and OBIEE requires certain prerequisites to ensure a seamless connection between the two platforms. Let’s take a look at the essential requirements:

1. Compatible Versions: To enable integration between Tableau and OBIEE, make sure that you are using compatible versions of both software. Check Tableau’s documentation or consult with the vendor to ensure compatibility with your version of OBIEE.

2. Data Access: In order to integrate Tableau with OBIEE, you need to ensure that Tableau has the necessary access privileges to connect to the OBIEE database. This could involve providing Tableau with the appropriate database credentials or configuring the necessary permissions in OBIEE.

3. Network Connectivity: A stable and reliable network connection is vital for successful integration. Ensure that Tableau and OBIEE are connected to the same network or have the required network connectivity to establish a communication channel.

4. Data Source Configuration: In OBIEE, you may need to configure the data sources to allow access from Tableau. Update the necessary settings in OBIEE to enable data extraction and connection from Tableau.

5. Security Considerations: Take into account the security requirements of your organization when integrating these two platforms. Ensure that the data passed between Tableau and OBIEE is encrypted and authentication mechanisms are in place to protect sensitive information.

6. Licensing: Ensure that you have the appropriate licenses for both Tableau and OBIEE. Check with the vendors to ensure compliance with licensing agreements and avoid any legal issues.

7. Compatibility with Data Sources: Review the compatibility of the data sources used in OBIEE with Tableau. Verify that Tableau supports the data sources used in OBIEE, or explore potential workarounds or alternative data sources if necessary.

8. Performance Considerations: Take into account the performance implications of integrating Tableau and OBIEE. Evaluate the hardware requirements, such as server capacity and memory, to ensure smooth and efficient operation.

By fulfilling these requirements, you will be well on your way to integrating Tableau and OBIEE, unlocking the power of data visualization and analytics while leveraging the robust capabilities of OBIEE.

Overview of Tableau and OBIEE

Tableau and OBIEE are two powerful data analytics and visualization tools that are widely used in the business intelligence landscape. They enable organizations to extract insights and make informed decisions based on data. While both tools serve a similar purpose, they have distinct features and functionalities that set them apart.

Tableau is renowned for its user-friendly interface and its ability to create visually appealing and interactive dashboards. It allows users to connect to various data sources, including databases, spreadsheets, and cloud-based platforms. With Tableau, users can easily drag and drop data elements to create charts, graphs, maps, and other visualizations that provide a clear and concise representation of data.

On the other hand, OBIEE (Oracle Business Intelligence Enterprise Edition) is a comprehensive business intelligence platform that offers a wide range of reporting and analytics capabilities. It provides an enterprise-level solution for data management, reporting, and analysis. OBIEE supports complex data models and offers advanced features such as ad-hoc reporting, predictive analytics, and collaboration tools.

One of the key differences between Tableau and OBIEE lies in their approach to data processing. Tableau operates in a self-service model, where non-technical users can easily create and explore visualizations without relying on IT support. OBIEE, on the other hand, is more suited for organizations that require a centralized data management system, with IT professionals overseeing the data modeling and governance processes.

Another notable difference is the pricing structure. Tableau offers a variety of licensing options, including individual and enterprise plans, while OBIEE typically follows an enterprise-level pricing model based on CPU licenses.

In terms of integration capabilities, both Tableau and OBIEE can be connected to various data sources and systems. However, the specific methods and connectors required may vary. Tableau has a vast library of connectors that allow seamless integration with popular databases, cloud platforms, and third-party applications. OBIEE, being an Oracle product, integrates with Oracle databases and other Oracle applications effortlessly, but it may require additional configurations for integration with external systems.

Overall, Tableau and OBIEE are powerful tools that cater to different user needs and organizational requirements. Tableau excels in providing a user-friendly and visually appealing data visualization experience, making it ideal for data exploration and ad-hoc analysis. On the other hand, OBIEE offers a robust and comprehensive business intelligence platform with sophisticated data management and reporting capabilities, making it a preferred choice for larger enterprises with complex data requirements.

Designing the Connector Architecture

When it comes to integrating Tableau and OBIEE, designing a robust and efficient connector architecture is crucial. This architecture will serve as the foundation for seamless data exchange and communication between the two platforms.

Here are some key considerations and steps to follow when designing the connector architecture:

  1. Identify the Integration Requirements: Begin by understanding the specific integration requirements for your Tableau and OBIEE systems. This includes defining the data sources, data types, data volumes, and frequency of data updates.
  2. Choose the Integration Approach: There are different approaches to integrating Tableau and OBIEE, such as using APIs, database connections, or custom connectors. Evaluate each approach and select the one that best fits your requirements and technical capabilities.
  3. Define the Data Flow: Determine how data will flow between Tableau and OBIEE. Consider factors like data extraction, transformation, and loading processes. Map out the data flow from the source system to the destination system, ensuring data integrity and accuracy throughout the process.
  4. Establish Security Measures: Data security is of utmost importance in any integration project. Define the necessary security measures, such as encryption protocols, access controls, and data validation techniques, to protect sensitive information during the data exchange.
  5. Design Error Handling and Logging Mechanisms: It’s crucial to anticipate potential errors or exceptions that may occur during the integration process. Design a robust error handling mechanism that captures and logs any errors, providing clear and actionable insights for troubleshooting.
  6. Consider Scalability and Performance: As your data volumes and user base grow, the connector architecture should be able to handle increased load and maintain optimal performance. Design the architecture with scalability in mind, ensuring it can accommodate future growth and handle larger data sets.
  7. Test and Validate: Thoroughly test the connector architecture to validate its functionality, performance, and scalability. Conduct integration tests, simulate different scenarios, and perform stress testing to ensure the architecture meets your requirements and delivers consistent results.
  8. Maintain Documentation: Document the design and implementation details of your connector architecture. This documentation will serve as a valuable resource for troubleshooting, maintenance, and future enhancements.

By following these steps and considerations, you can design a robust and efficient connector architecture that enables seamless integration between Tableau and OBIEE. This architecture will facilitate the smooth exchange of data, allowing users to leverage the strengths of both platforms and gain valuable insights from their data.

Step-by-Step Guide for Creating the Connector

Creating a connector that seamlessly integrates Tableau and OBIEE can greatly enhance the data visualization and analytics capabilities of your organization. By following this step-by-step guide, you’ll be able to develop a robust connector that enables smooth communication between the two platforms.

Step 1: Define the Integration Objectives

Before diving into the technical details, it’s essential to clearly define the objectives of the integration. Determine the specific data sets, reports, and visualizations you want to exchange between Tableau and OBIEE. This will help you streamline the development process and ensure that your connector meets your organization’s needs.

Step 2: Understand the APIs

Familiarize yourself with the Tableau and OBIEE APIs. These Application Programming Interfaces act as bridges between software applications, allowing them to communicate and exchange data. Study the documentation provided by both Tableau and OBIEE to understand the available API endpoints and functionalities.

Step 3: Plan the Connector Architecture

Design the architecture of your connector to ensure efficiency and scalability. Consider factors such as data transfer methods, authentication mechanisms, error handling, and data transformation requirements. It’s crucial to create a flexible and modular architecture that can accommodate future updates and enhancements.

Step 4: Implement Authentication Mechanisms

Setup authentication mechanisms for both Tableau and OBIEE. Ensure that users can securely authenticate and access the necessary data sources and reports. Use industry-standard protocols like OAuth 2.0 for secure authentication and authorization.

Step 5: Develop Data Extraction Functions

Create functions to extract data from OBIEE and transform it into a format compatible with Tableau. This step includes querying the OBIEE API to retrieve the required data and performing any necessary data manipulations, such as formatting, cleaning, or aggregating.

Step 6: Implement Data Loading Functions

Develop functions to load the extracted data into Tableau. This involves utilizing the Tableau API to populate the appropriate data structures, such as data sources, workbooks, and dashboards. Ensure that the data is correctly mapped to the desired visualizations and reports.

Step 7: Handle Errors and Exception Handling

Configure error handling mechanisms to handle any errors or exceptions that may arise during the integration process. Implement robust error logging and notification systems to promptly identify and address any issues.

Step 8: Test and Debug

Rigorously test your connector to ensure its reliability and functionality. Carry out comprehensive testing scenarios, including different data sets, varying user access levels, and complex visualizations. Debug any issues that arise and make necessary adjustments to improve performance.

Step 9: Deploy and Monitor

Once you are confident in the stability and performance of your connector, deploy it in your production environment. Monitor its usage and performance regularly, and be prepared to make updates or enhancements as needed.

By following these step-by-step guidelines, you can effectively develop a connector that seamlessly connects Tableau and OBIEE, empowering your organization with enhanced data analytics and visualization capabilities.

In conclusion, developing a connector that connects Tableau and OBIEE can greatly enhance the data integration and analysis capabilities of organizations. By bridging the gap between these two powerful platforms, businesses can leverage the strengths of both tools to gain valuable insights and make more informed decisions.

Creating such a connector requires a deep understanding of the technical aspects of Tableau and OBIEE, as well as expertise in data integration and API development. However, the effort is well worth it, as it enables seamless data synchronization, real-time reporting, and enhanced visualization options.

With a Tableau-OBIEE connector in place, organizations can unlock the full potential of their data, streamline processes, and improve overall efficiency. By harnessing the power of these two industry-leading platforms, businesses can gain a competitive edge and drive growth in today’s data-driven world.


1. What is a connector?
A connector is a tool or software component that enables the seamless integration and communication between two different applications or systems. In the context of Tableau and Obiee, a connector allows these two platforms to share data and insights, enhancing the overall data analysis and decision-making process.

2. Why would I need a connector between Tableau and Obiee?
Tableau and Obiee are both powerful data visualization and business intelligence tools that offer unique features and capabilities. However, they may be used by different teams or departments within an organization. By having a connector that connects Tableau and Obiee, you can easily transfer data between the two platforms, ensuring that all teams have access to the same up-to-date information for their analysis and reporting needs.

3. How does a connector work?
A connector works by establishing a connection between Tableau and Obiee, allowing seamless data transfer and interaction between the two platforms. It typically utilizes APIs or other integration methods provided by both Tableau and Obiee to fetch and exchange data in a structured manner. This enables users to access and analyze data from both platforms without manually exporting, importing, or manipulating data between them.

4. Are there any pre-built connectors available for Tableau and Obiee integration?
Yes, there are pre-built connectors available in the market that specifically cater to Tableau and Obiee integration. These connectors are designed to facilitate easy and efficient data transfer between the two platforms, with minimal configuration and setup requirements. It is recommended to explore these pre-built connectors as they can save time, effort, and ensure a smooth integration process.

5. Can I develop my own connector for Tableau and Obiee integration?
Yes, it is possible to develop your own connector for Tableau and Obiee integration. However, it requires a deep understanding of the APIs and integration methods provided by both platforms. Developing a custom connector might involve coding and configuration processes, and it can be more time-consuming compared to using pre-built connectors. If you have the necessary expertise and resources, developing your own connector can offer more flexibility and customization options.