SAP Data Services and IBM InfoSphere DataStage compete in the ETL software market. SAP Data Services appears to have an advantage in integration with SAP systems and ease of use, while IBM InfoSphere DataStage exhibits strength in handling complex transformations and large datasets.
Features: SAP Data Services offers broad database connectivity, intuitive use, and advanced data quality capabilities. It effectively connects various sources and utilizes SQL-based transformation logic. IBM InfoSphere DataStage is known for parallel processing, flexibility in data integration, and intricate transformation capabilities, ideal for large enterprise projects.
Room for Improvement: SAP Data Services users report challenges with parallel batch jobs, outdated error logging, and web services integration. Enhancements in cloud support and non-SAP system integration are desired. IBM InfoSphere DataStage users call for better cloud integration, support for modern data sources, and more cost-effective licensing. A more user-friendly interface and improved error messaging are also needed.
Ease of Deployment and Customer Service: SAP Data Services mainly supports on-premises deployments with some hybrid cloud options, generally receiving positive feedback for technical support but with noted needs for faster response. IBM InfoSphere DataStage supports both on-premises and hybrid cloud environments but faces criticism for slow support and complex processes.
Pricing and ROI: SAP Data Services is considered costly, especially for small to medium enterprises, but usage-based pricing has improved cost-effectiveness. IBM InfoSphere DataStage is reviewed as expensive but offers economic advantages in large-scale projects, justifying investment with its capabilities.
SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.
We also have the flexibility to submit a feature request to be included as part of the wishlist, potentially becoming a product feature in subsequent releases.
IBM tech support has allocated dedicated resources, making it satisfactory.
If you keep a high priority issue, such as a production impact, they certainly come and address it in no time.
Unlike level one where they basically search for the notes and provide responses, level two and level three are much better.
If I were to rate it from one to 10, I would say it has a nine to 10 for scalability.
I wonder if it supports other areas, such as cloud environments with open source support, or EdgeShift.
The solution needs improvement in connectivity with big data technologies such as Spark.
Now, they are coming up with many pricing options, which is tricky; they offer one thing for free, but charge for nine others.
The documentation is not up to the mark.
Pricing for IBM InfoSphere DataStage is moderate and not much expensive.
IBM InfoSphere DataStage is very scalable, allowing us to extend it according to our processing needs.
It is straightforward from a design and development perspective, and also for deployment.
SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.
SAP Data Services is mainly used for extraction of data, and it works with all databases.
IBM InfoSphere DataStage is a high-quality data integration tool that aims to design, develop, and run jobs that move and transform data for organizations of different sizes. The product works by integrating data across multiple systems through a high-performance parallel framework. It supports extended metadata management, enterprise connectivity, and integration of all types of data.
The solution is the data integration component of IBM InfoSphere Information Server, providing a graphical framework for moving data from source systems to target systems. IBM InfoSphere DataStage can deliver data to data warehouses, data marts, operational data sources, and other enterprise applications. The tool works with various types of patterns - extract, transform and load (ETL), and extract, load, and transform (ELT). The scalability of the platform is achieved by using parallel processing and enterprise connectivity.
The solution has various versions, catering to different types of companies, which include the Server Edition, the Enterprise Edition, and the MVS Edition. Depending on which version a company has bought, different goals can be achieved. They include the following:
IBM InfoSphere DataStage can be deployed in various ways, including:
IBM InfoSphere DataStage Features
The tool has various features through which users can integrate and utilize their data effectively. The components of IBM InfoSphere DataStage include:
IBM InfoSphere DataStage Benefits
This solution offers many benefits for the companies that utilize it for data integration. Some of these benefits include:
Reviews from Real Users
A data/solution architect at a computer software company says the product is robust, easy to use, has a simple error logging mechanism, and works very well for huge volumes of data.
Tirthankar Roy Chowdhury, team leader at Tata Consultancy Services, feels the tool is user-friendly with a lot of functionalities, and doesn't require much coding because of its drag-and-drop 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.
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