

Oracle Data Integrator and SAP Business Data Cloud are key competitors in the data integration and analytics domain. Oracle Data Integrator appears to have a lead in terms of integration flexibility, while SAP Business Data Cloud showcases superior analytics and seamless integration with SAP products.
Features: Oracle Data Integrator's EL-T architecture reduces network traffic by enabling transformations within the target database. It supports flexible integration with various systems and allows extensive customization, making it adaptable to diverse environments. SAP Business Data Cloud is praised for its robust analytics capabilities, predictive features, and strong SAP integration, offering user-friendly visualizations and a comprehensive platform for data analytics.
Room for Improvement: Oracle Data Integrator could improve its ORM integration, security management, and real-time data capabilities. Users desire simplified error descriptions, enhanced multi-user support, and better version control. SAP Business Data Cloud should enhance third-party connectivity, add analytics tools, and improve visualizations. Both tools face criticisms over their integration and UI enhancements.
Ease of Deployment and Customer Service: Oracle Data Integrator is mainly deployed on-premises with varied support experiences, especially regarding interoperability. SAP Business Data Cloud operates in the cloud with efficient customer service, benefiting from regular updates and strong SAP ecosystem integrations.
Pricing and ROI: Oracle Data Integrator is considered expensive, requiring careful licensing strategies for cost-effectiveness, with significant ROI possible through proper implementation. SAP Business Data Cloud also stands on the higher price side, offering value with its extensive cloud-based services, though the entry cost for advanced functionalities is higher. Both solutions can provide significant ROI depending on successful utilization.
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.
There is a return on investment with SAP Business Data Cloud, as it saves money because it performs results quickly and easily, facilitating integrations and speeding up operations compared to other analytics tools, thereby saving time and money.
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.
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.
There are no limitations in terms of scale, so it fits both SMB customers and enterprise customers.
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.
Other than during these quarterly release periods, the availability is excellent.
In a typical quarter, the availability has been over 99%; in a few cases, it dropped to around 98.5%.
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 | 0.9% |
| Other | 96.6% |

| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 12 |
| Large Enterprise | 44 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 19 |
| Large Enterprise | 51 |
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 provides cloud-based predictive analysis, robust visualization, and integrated planning capabilities with seamless SAP integration. It enhances analytics and reporting efficiency with machine learning and AI features.
SAP Business Data Cloud stands out with its user-friendly application design, leveraging TypeScript scripting for flexibility. It enables easy data integration, customizable dashboards, and collaborative planning. Renowned for its seamless connectivity and comprehensive business intelligence offerings, it is designed to support real-time analytics and planning across both on-prem and cloud environments. Improvements are anticipated in visualization features, connectivity, and third-party system integration, with calls for more customizable chart options and real-time reporting capabilities.
What are the most important features of SAP Business Data Cloud?SAP Business Data Cloud serves industries by powering cloud-based reporting, analytics, financial planning, and executive dashboards. Companies utilize it to integrate SAP and non-SAP data sources for insights and forecasts. It is applied in constructing dashboards, boardroom presentations, budgeting, and predictive analytics, supporting versatile use cases across multiple sectors.
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