

Oracle Data Integrator (ODI) and SAP Business Data Cloud compete in the data integration and management category. SAP Business Data Cloud holds an advantage due to its comprehensive SAP integration and advanced data sharing capabilities.
Features: Oracle Data Integrator utilizes a sophisticated EL-T approach, reducing network traffic by allowing transformations within the database server. Its architecture supports various data sources, enhancing flexibility and integration capabilities. The tool's Knowledge Module approach simplifies creating custom integration strategies. SAP Business Data Cloud offers seamless data integration across SAP environments, maintaining business data consistency. Its Delta Share feature enhances data sharing across platforms without replication. SAP's support for AI and integration with other tools like Snowflake enriches its overall functionality.
Room for Improvement: Oracle Data Integrator could benefit from improved REST integrations and expanded version control support, such as incorporating GIT. Enhancing error handling and streamlining interfaces would further advance its utility. SAP Business Data Cloud could reduce costs and broaden its data product range. Strengthening integration features for non-SAP systems and adding comprehensive DevOps capabilities would enhance its market position.
Ease of Deployment and Customer Service: Oracle Data Integrator often requires complex on-premises setup, mainly due to hardware requirements. Its technical support shows variability in response times. SAP Business Data Cloud focuses on cloud deployment, offering flexibility and scalability, though it faces hurdles in connecting with legacy systems. SAP is known for efficient support, but ease of integration and solution comprehensiveness could be better optimized.
Pricing and ROI: Oracle Data Integrator positions itself with mid-range pricing, which may not attract smaller enterprises due to complex licensing. ROI can be high when properly implemented, thanks to its efficiency and cost reduction. SAP Business Data Cloud, while more expensive, offers broad capabilities ideal for large enterprises managing extensive data. Both solutions promise substantial ROI when implemented efficiently.
We have saved a lot on the number of employees, and implementation time for the projects has reduced significantly since we started using the standard features of SAP Business Data Cloud.
Once the content is available, then it is a faster go-live with lesser cost in implementation, and that would give an ROI.
It will definitely reduce the need for more staff to handle this technology.
I can get solutions quickly, and any tickets I submit to Oracle are responded to and resolved rapidly.
The technical support of Oracle is very good; they support the Oracle Data Integrator (ODI) solution effectively.
The technical support is a very well-organized service, with a lot of tools for me as a consultant and for the end user on how to contact SAP support and get issues solved.
For example, when I provide a set of instructions, they often simply ask me to implement those steps without checking whether they are applicable.
In SAP's policy, for the first couple of years, the product team is also part of the support team.
The scalability and the ability to handle multiple workloads of several parallel ETL jobs could use improvement.
The scalability of SAP Business Data Cloud has been strong, as it has handled growth in data volume, user demand, and reporting requirements without significant performance issues.
SAP Analytics Cloud can be used by a small company, and it can be used by a large corporate.
Since SAP has consolidated everything on one platform, there is ample room to expand as much as needed.
In terms of performance stability, I have not experienced any downtimes, crashes, or performance issues with the Oracle Data Integrator (ODI).
You have a chance to test it on your test tenant in small increments, so it should not break your productive reports and productive environment.
It has been reliable for reporting, analytics, and data integration activities.
Other than during these quarterly release periods, the availability is excellent.
If I use a source system like Oracle and a target system like Teradata, ODI will still run, but it struggles a bit with different infrastructures.
It would be excellent not to have to go into different areas to perform different activities but rather have a user-defined interface where we can configure a job, run it, monitor it, link packages, and link subprocesses all in one frame.
Adding AI capabilities would make Oracle Data Integrator (ODI) even better.
On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family.
If SAP can come up with innovative options to reduce licensing costs, many customers would incline toward SAP Business Data Cloud.
If I compare the cost with SAP competitors, I find that when creating an enterprise data lake, if I don't use SAP Business Data Cloud and make it directly in the hyperscalers, it is pretty much cheaper than doing the same in SAP Business Data Cloud.
ODI is cheaper compared to Informatica PowerCenter and IBM DataStage.
The pricing aspect of Oracle Data Integrator (ODI) is reasonable; it brings significant value to the table.
If I compare the cost with SAP competitors, I find that when creating an enterprise data lake, if I don't use SAP Business Data Cloud and make it directly in the hyperscalers, it is pretty much cheaper than doing the same in SAP Business Data Cloud.
Frankly, pricing, setup cost, and licensing seem a bit high compared to other hyperscalers.
The pricing for SAP Business Data Cloud is higher compared to alternatives.
The main benefits that Oracle Data Integrator (ODI) brings to the table include data quality, data completeness functionality, metadata management, and the reverse engineering feature, which allows integrating the metadata of diversified data sources with a single click.
Oracle Data Integrator (ODI) is powerful and strong if my system uses Oracle components for environments like OLTP, enterprise data warehouse, or data marts.
Oracle Data Integrator (ODI)'s ELT architecture has helped optimize my data movement and transformation significantly.
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
SAP Business Data Cloud has positively impacted my organization by federating SAP data, which is now available for all to use.
The main standout feature is BDC Connect, as it is very useful for sharing data without replicating to third-party tools such as Enterprise Databricks, Snowflake or even in the near future, Google BigQuery as well as Microsoft Fabric.
| Product | Mindshare (%) |
|---|---|
| Oracle Data Integrator (ODI) | 2.5% |
| SAP Business Data Cloud | 1.0% |
| Other | 96.5% |

| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 12 |
| Large Enterprise | 44 |
| Company Size | Count |
|---|---|
| Small Business | 39 |
| Midsize Enterprise | 20 |
| Large Enterprise | 52 |
Oracle Data Integrator offers flexible EL-T architecture, optimizing processing with database capabilities. It supports diverse data sources, automates deployment, and provides efficient data transformations, making it suitable for data warehousing and complex data environments.
Oracle Data Integrator leverages EL-T architecture to enhance processing by utilizing database strengths. It integrates with a wide array of technologies, including RDBMS, cloud, and big data. The software's Knowledge Modules enable customizable integration strategies, accelerating development. With a user-friendly interface and automation features, it simplifies metadata management and supports real-time data warehousing. Key areas such as UI performance, integration, and real-time data capabilities require enhancements. Challenges include error handling, initial setup, and compatibility with platforms like Git, Azure, and IoT services. Improvements in metadata management, scalability, and user-friendliness are needed.
What are the most important features of Oracle Data Integrator?Organizations utilize Oracle Data Integrator primarily in data warehousing, handling data from ERP systems, EBS, Fusion, and cloud databases. It aids in creating data lakes, OLTP migrations, digital health initiatives, and automation tasks, ensuring seamless integration with databases like MySQL and SQL Server.
SAP Business Data Cloud (SAP BDC) is a unified, intelligent data platform — part of the SAP Business AI Platform — that governs SAP and third-party data through a business data fabric. As an evolution of our industry-leading data, analytics and planning solutions, Business Data Cloud brings together Datasphere, Analytics Cloud, and Business Warehouse with a unified experience that delivers transformational insights across all lines of business. By harmonizing mission-critical data with the business processes and logic that give it meaning, SAP BDC delivers a trusted foundation for analytics and AI, empowering data teams and business leaders to make faster, more confident decisions.
What are the most important features of SAP Business Data Cloud?
What benefits or ROI should users look for in SAP Business Data Cloud?
SAP Business Data Cloud is a key component of SAP's vision for the autonomous enterprise. By unifying data connectivity, governance, semantic modeling, and analytics in a single cloud-native platform, SAP BDC eliminates fragmentation and complexity — serving as the connective tissue that ties your entire enterprise together and positioning organizations for long-term success in an AI-driven world.
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