

Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration.
Reliable data plus less human intervention and less error result in a strong return on investment.
One of our customers said that one RPA robot could do three-person jobs, and they were able to reduce their workforce accordingly.
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.
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 lack of a developer community in Tungsten RPA is a red flag for us and for customers.
From my experience, SAS Data Management is an expensive tool.
It is very reliable, very time-saving, and the chances of error are minimal.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
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.
If you don't have a computer science background, you can easily use Tungsten RPA because this is a low-code platform and it is easier than other RPA tools.
| Product | Mindshare (%) |
|---|---|
| SAS Data Management | 1.2% |
| Informatica Intelligent Data Management Cloud (IDMC) | 3.7% |
| SSIS | 3.7% |
| Other | 91.4% |
| Product | Mindshare (%) |
|---|---|
| Tungsten RPA | 1.9% |
| UiPath Platform | 10.1% |
| Microsoft Power Automate | 6.5% |
| Other | 81.5% |


| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 2 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 1 |
| Large Enterprise | 18 |
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.
Tungsten RPA offers a sophisticated automation platform designed for seamless integration with enterprise systems. It's known for its robust functionalities in document processing, web automation, and delivering efficient business workflows.
Designed to streamline complex operations, Tungsten RPA supports integrations with major platforms like SAP and ERP tools, known for enhancing business efficiency. It provides powerful OCR capabilities and is characterized by a low-code environment, which simplifies automation tasks. Despite its strengths, there's a need for improvements in community support, documentation, and emerging AI functionalities. Expanding its desktop automation, scalability, and system connections, especially with Microsoft and Citrix, is imperative for broader adoption.
What are the key features of Tungsten RPA?Tungsten RPA is employed across sectors like finance, healthcare, aviation, and logistics for automating crucial business functions. It aids in automating repetitive tasks, data extraction, and process automation in ERP and SharePoint systems. Businesses leverage its capabilities for website automation, handling employee data, and streamlining operations in finance and HR. It enhances customer service operations, document processing, and market data collection, effectively reducing manual workload and boosting operational efficiency.
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.