

SAS Data Management and Oracle GoldenGate compete in the data management and integration category. SAS Data Management has the upper hand with its comprehensive data quality and ease of use capabilities, while Oracle GoldenGate excels in real-time data replication and change data capture, particularly in Oracle environments.
Features:SAS Data Management is ideal for robust ETL, data integration, and data governance, offering a unified view of enterprise data with powerful monitoring and customization features. It excels in data quality and user-friendliness, even for non-technical users. Oracle GoldenGate specializes in real-time data replication and transformation among heterogeneous databases, providing seamless data movement with impressive CDC capabilities, especially suited for Oracle environments.
Room for Improvement:SAS Data Management is costly, with complicated licensing and setup. Improvements are needed in analytics, cloud integration, and documentation. Oracle GoldenGate also faces high pricing and setup complexity, with a need for better integration with non-Oracle systems, enhanced monitoring tools, and a more user-friendly interface. Both products face challenges in pricing and setup, with Oracle users expressing concerns over hidden expenses and technical support complexity.
Ease of Deployment and Customer Service:SAS Data Management supports mainly on-premises deployments, with positive customer service ratings despite needing improvement in technical support responsiveness. Oracle GoldenGate offers hybrid and private cloud options, appreciated for deployment flexibility but criticized for integration complexity and customer support challenges, particularly during setup.
Pricing and ROI:SAS Data Management is seen as expensive but valued for ensuring data accuracy and reducing storage costs, offering high ROI in specific industries. Oracle GoldenGate's real-time data replication performance justifies its high cost for many businesses, though its pricing structure can be complex and costly for smaller organizations. Despite significant ROI opportunities through improved data reliability and efficiency, pricing remains a barrier for smaller companies.
Reliable data plus less human intervention and less error result in a strong return on investment.
The rating for Oracle GoldenGate support is a three.
The support team responds quickly, providing feedback which we then implement.
The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.
It effectively manages larger databases, such as those of 15 terabytes and above.
Oracle GoldenGate is quite stable.
The configuration process could be made simpler.
A new feature could be to perform streaming for operational objects such as procedures, functions, packages, or grants.
For Oracle GoldenGate, customers face challenges with patching, the latest updates, and encountering bugs.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
SAS Data Management can be improved in terms of the learning curve.
The list price is high, and the price can sometimes seem expensive if the appropriate discount is not applied.
The pricing of Oracle GoldenGate is quite high.
From my experience, SAS Data Management is an expensive tool.
The benefit is the possibility to use only one tool to perform streaming and transformation of data.
The most valuable feature of Oracle GoldenGate is its ability to sync data in real-time, which is crucial for me.
Active Data Guard is an important feature for disaster recovery site applications.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
It is very reliable, very time-saving, and the chances of error are minimal.
The metadata management feature of SAS Data Management helps a lot; creating your data marts or data lake with good naming conventions, library conventions, and so on is very important because it allows easy queries to find the whole structure, though I think metadata governance also depends on first definitions, not only on the tool.
| Product | Mindshare (%) |
|---|---|
| Oracle GoldenGate | 1.4% |
| SAS Data Management | 1.2% |
| Other | 97.4% |


| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 5 |
| Large Enterprise | 30 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 2 |
| Large Enterprise | 8 |
Oracle GoldenGate offers seamless data replication and real-time data transformation, supporting heterogeneous databases with ease. It's appreciated for its stability, scalability, and the capability to handle large data volumes efficiently.
Oracle GoldenGate is known for its effective real-time data integration and minimal downtime, making it suitable for high-volume transactions. While praised for its compatibility across platforms and cost-effectiveness, it faces challenges with cost, licensing, and non-Oracle database integration. Its graphical interface and documentation require enhancements, and technical support could be more responsive. Advanced users seek refined API features and improvements in scalability. Despite these, it remains popular for supporting disaster recovery, data integration, and real-time data exchange.
What are the most important features of Oracle GoldenGate?Oracle GoldenGate is extensively used within industries such as finance and government for data migration, supporting zero-downtime migrations and cloud shifts. These sectors utilize it for centralizing diverse data sources, aiding analytics, and ensuring high availability through disaster recovery solutions.
SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.
SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.
What are the key features of SAS Data Management?SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.
We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.