SAP Data Services and SAP Information Steward are both competing in the data management and integration space. SAP Data Services takes the lead with its extensive data processing capabilities, robust integration with multiple systems, and advanced ETL features.
Features: SAP Data Services offers data migration, integration, and cleansing with ETL and SQL capabilities. It provides multi-user support, security via a central repository, and traceability with impact analysis and data lineage. Its integration with SAP and non-SAP systems enhances its versatility. SAP Information Steward focuses on data quality insights, profiling, and metadata management, including cleansing and financial impact analysis, with user-friendly scorecards and metapedia.
Room for Improvement: SAP Data Services needs better web service integration and error logging. Users encounter issues with complex matching transforms and scheduling, and improvements for dynamic sources are recommended. SAP Information Steward requires better integration with BI tools like Power BI, enhanced data manipulation features, and cloud support. Filtering bad data could be optimized, and deployment security simplified.
Ease of Deployment and Customer Service: SAP Data Services supports various deployment options including on-premises and hybrid cloud, receiving moderate customer service reviews but needs more responsive support. SAP Information Steward predominantly offers on-premises deployment, and while customer service is satisfactory, technical support could improve.
Pricing and ROI: SAP Data Services is considered expensive, particularly for small businesses, yet it offers significant time-saving capabilities, presenting a good ROI. A shift towards a usage-based pricing model could be beneficial. SAP Information Steward is similarly priced, which may deter smaller entities, but it provides long-term benefits in data security and management. Although competitive pricing is an issue, its ROI aligns with its data quality features.
SAP Data Services is a top-ranking data integration and data quality tool. This is a product that aims to provide its users with effective access to their data in order to transform it and connect it to various business processes. SAP Data Services offers companies detailed data insights which improve decision-making and make company operations more effective.
Organizations can increase the value of their structured and unstructured data with the functionalities of this product regarding data integration, quality, and cleansing. Through various components such as:
the product transforms data into a ready-to-use resource for business insights.
Some of the key components of SAP Data Services include:
Through these components, the product allows its clients to access and integrate data sources and targets with native connectors. Users can derive meaning from unstructured text data, match data to reduce duplicates, and see the impact of data quality issues. The tool also offers the option to enable parallel processing, bulk data loading, and grid computing for high-volume data loads.
SAP Data Services Features
The solution has different features for data integration, data quality, data profiling, and processing of text data. Using these features, clients can manage their company's data easily and achieve excellent results by optimizing it. Some of the product’s features include:
SAP Data Services Benefits
This solution offers various benefits to its clients regarding the efficient operation of their data. The key benefits of SAP Data Services include:
Reviews from Real Users
According to Michael Lutz, senior data warehouse developer at Fox Chase Cancer Center, SAP Data Services is a powerful tool that does a lot.
An associate consultant at a consultancy says the tool is easy to use, simple to implement, and offers very good mapping capabilities.
Monitor, analyze, and improve data integrity with SAP Information Steward software. Combine data profiling and metadata management tools for continuous insight into the quality of enterprise information to optimize processes, and enhance operational, analytical, and data governance initiatives.
We monitor all Data Quality 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.