

Oracle Data Integrator and SQL Server Integration Services compete in the ETL solutions category. Oracle Data Integrator seems to have the upper hand due to its flexibility and advanced integration capabilities, particularly when dealing with complex data environments.
Features: Oracle Data Integrator offers comprehensive ELT functionality that supports diverse environments like Hadoop and cloud services. It is recognized for its reusable design and the ability to handle complex transformation logic. Its Knowledge Module architecture allows customization of data integration processes efficiently. SQL Server Integration Services is commended for its simplicity and tight integration with Microsoft products. It also offers easy deployment for users within the Microsoft ecosystem and includes tools like Script Task and Script Component for custom tasks.
Room for Improvement: Oracle Data Integrator could improve its GUI responsiveness and support for version control tools beyond SVN. Its Java-based UI is less intuitive, and real-time integration capabilities could be enhanced. SQL Server Integration Services needs better GUI speed, data source connectivity, and metadata management. Users have noted difficulties with integration across platforms and challenges in dealing with legacy ETL processes.
Ease of Deployment and Customer Service: Oracle Data Integrator is considered complex for initial setup but powerful once operational. It is primarily used on-premises, with some cloud options. SQL Server Integration Services benefits from being part of the SQL Server package, providing a straightforward deployment process. Community support for SSIS is strong, though complex troubleshooting might need external resources. Oracle's technical support experiences mixed reviews with efficient problem resolution in some cases and slow processes in others.
Pricing and ROI: Oracle Data Integrator is seen as expensive, suitable for larger enterprises due to high licensing costs, justified by its robust functionality for significant data processing. SQL Server Integration Services offers a cost-effective licensing model bundled with SQL Server, making it attractive for businesses in the Microsoft ecosystem. Both solutions potentially offer good ROI through time efficiency and reduced operational costs when properly implemented.
The tool has made us tremendously more efficient and saved us a significant amount of money.
Using SSIS has proven cost-effective as there are no additional fees outside the SQL Server license, and it significantly enhances data management efficiency.
The technical support of Oracle is very good; they support the Oracle Data Integrator (ODI) solution effectively.
I can get solutions quickly, and any tickets I submit to Oracle are responded to and resolved rapidly.
The first line of support needs to be more knowledgeable.
The scalability and the ability to handle multiple workloads of several parallel ETL jobs could use improvement.
In terms of performance stability, I have not experienced any downtimes, crashes, or performance issues with the Oracle Data Integrator (ODI).
It processes large volumes of data quickly.
Integrating AI with ODI that provides recommendations on how to fix those data quality issues after analyzing and profiling business data would be 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.
Within the South African context, if you are getting your enterprise agreement from First Technology, they don't provide support.
SSIS has a difficult learning curve when dealing with complex transformations.
The logging capabilities could be improved, particularly for error logging.
The pricing aspect of Oracle Data Integrator (ODI) is reasonable; it brings significant value to the table.
ODI is cheaper compared to Informatica PowerCenter and IBM DataStage.
Utilizing SSIS involves no extra charges beyond the SQL Server license.
It was included in our licensing for SQL server, and our licensing for SQL server was extremely cheap, making it a very good price point for us.
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.
It is a very robust tool that can work with many data sources, and its main strength is that it is extremely easy to use.
SSAS is included in the base installation of SQL Server.
One of the best aspects of SSIS is that it is built into Microsoft SQL Server, so there are no additional costs involved.
| Product | Market Share (%) |
|---|---|
| SSIS | 5.1% |
| Oracle Data Integrator (ODI) | 3.1% |
| Other | 91.8% |


| Company Size | Count |
|---|---|
| Small Business | 25 |
| Midsize Enterprise | 12 |
| Large Enterprise | 43 |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 19 |
| Large Enterprise | 57 |
Oracle Data Integrator (ODI) is a data integration software solution that provides a unified infrastructure to streamline data and application integration projects. It uses a powerful design approach to data integration, which separates the declarative rules from the implementation details. The solution is based on a unique ELT (Extract Load Transform) architecture, eliminating the need for a standalone ETL server and proprietary engine.
Oracle Data Integrator Features
ODI has many valuable key features. Some of the most useful ones include:
Oracle Data Integrator Benefits
There are many benefits to implementing ODI. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Data Integrator (ODI) solution.
Brian D., Business Process and Strategy Specialist Advisor at NTTData, says, “The Knowledge Module (KM) is my favorite feature of ODI. This is where I learned how to use variables to make jobs dynamic. I took that knowledge and created a KM that would go into iTunes and pull the sales of eBooks. Making something that is reusable, like a KM, is important to not only reduce build time but also maintenance in the future.”
Ashok S., Applications Support Manager at a marketing services firm, mentions, "The most valuable features of ODI are the ease of development, you can have a template, and you can onboard transfer very quickly. There's a lot of knowledge modules available that we can use. If you want to connect, for example, a Sibyl, SQL, Oracle, or different products, we don't have to develop them from scratch. They are available, but if it's not, we can go into the marketplace and see if there's a connector there. Having the connector available reduces the amount of hard work needed. We only have to put the inputs and outputs. In some of the products, we use there is already integration available for ODI, which is helpful."
SSIS is a versatile tool for data integration tasks like ETL processes, data migration, and real-time data processing. Users appreciate its ease of use, data transformation tools, scheduling capabilities, and extensive connectivity options. It enhances productivity and efficiency within organizations by streamlining data-related processes and improving data quality and consistency.
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