IBM InfoSphere Information Server vs. SAP Agile Data Preparation

Information Server is extremely useful to replace manual developments that require a lot of coding effort. It significantly increases the productivity of the initial development and the future maintenance of the processes since it has a visual development environment with self-documentation.

SAP Agile Data Preparation is well suited for an organization with loads of data where data can be transformed, analyzed and shared on a single click. Thus, the software is well suited for organization which have intense data working. Further, the software is not suited for small/medium organization as there data would be comparatively less and they may not be able to afford the software.

Incentivized

• IIS best for ETL ,not ELT , and many and diffrent source systems.
• It also can process big data , unstuctured data
• It is not only DWH , you can use infosphere for analys and see the bigger architecture of your OLTP systems

Incentivized

• Centralized data storage, monitoring, and constant refreshes, as well as synchronization of global data are helping supply chain members reduce risk and secure stronger contracts.
• SAP empowers its users for successful data management by providing very easy-to-use tools which allow one to access, manipulate, and update a ton of data.
• SAP allows you to create data with having technical programming skills

Incentivized

• I would be nice to have a new web development environment for DataStage.
• Connectivity Packs such as Pack for SAP Application are a little pricey.
• It is confusing for new developers the possibility of developing jobs using different execution engines such as Parallel or Server.

Incentivized

• To manage user's email notifications
• Search data across worksheet
• Data quality statistics

Incentivized

• Scale of implementation
• IBM techsupport

Incentivized

I have no had any major issues, just a couple minor ones.

Incentivized

DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS

Our organization chose SAP Agile Data Preparation because of its brand name and the pricing. The software was feasible for the organization as it provides loads of feature as compared to other software's at a reasonable price. Additionally, SAP Agile Data Preparation is powered by SAP HANA so that is a prerequisite to data preparation freedom. Also, at the implementation stage the software was working really efficiently in terms of features, durability and performance.

Incentivized

• Productivity of the development of integration processes.
• Better documentation and governance.
• Reduce training costs of various technologies.

• Data management for large community has been increased
• Easy to collaborate with relevant stakeholders
• Smart and user-friendly interface
• Data sharing feature with excel, spreadsheet etc

Incentivized