IBM® DataStage® is a data integration tool that helps users to design, develop and run jobs that move and transform data. At its core, the DataStage tool supports extract, transform and load (ETL) and extract, load and transform (ELT) patterns. A basic version of the software is available for on-premises deployment, and the cloud-based DataStage for IBM Cloud Pak® for Data offers automated integration capabilities in a hybrid or multicloud environment.
its very good and i would get best support from ibm if their is any issue.i would upgrade it very easily.ibm red books are very good for learning and getting expertise on the product.we would get frequent updates when their is a patch released.it would be easy to integrate with …
With effective capabilities and easy to manipulate the features and easy to produce accurate data analytics and the Cloud services Automation, this IBM platform is more reliable and easy to document management. The features on this platform are equipped with excellent big data …
IBM Infosphere DataStage has been in the market for more than a decade now. It is reliable and the user community online is vast and which helps with the resolution identification easily. IBM has done a good job keeping up with guiding connectors and links for new databases …
It's obvious since they both are from the same vendors and it makes it easier and can get better rates for licensing. Also, sales rapes are very helpful in case of escalations and critical issues.
Data Analyst | Data Developer - Advanced Analytics
Chose IBM DataStage
We chose IBM InfoSphere DataStage because it is the tool that has been used, historically, at the company level. In the near future, nothing prevents us from orienting ourselves to new solutions in view of a restructuring of architecture.
Currently not using any of the Informatica tools, so, I don't have a real way of comparing the tools. But comparison against Microsoft SSIS (SQL Server Integration Services) I'd say DataStage stacks favorably. DataStage is a powerful tool for ETL processes that integrates …
Compared to other ETL tools, the connectors really work, and makes the developments less complex because they facilitate the development of the processes. The maintenance of the processes is simple, since it is a very visual tool, and you can count on the technical …
DataStage offers better integration capabilities without the need to write code manually. It also has a native ETL engine whereas MSIS requires a SQL Server. It has better integration capabilities with data quality, data profiling and data governance tools. The main drawback of …
Excellent Cloud data mapping tool and easy creating multiple project data analytics in real-time and the report distribution are excellent via this IBM product. Easy tool to provide data visualization and the integration is effective and helpful to migrating huge amounts of data across other platforms and different websites insights gathering.
Because it is robust, and it is being continuously improved. DS is one of the most used and recognized tools in the market. Large companies have implemented it in the first instance to develop their DW, but finding the advantages it has, they could use it for other types of projects such as migrations, application feeding, etc.
It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records. It is necessary to have people with experience to be able to determine which algorithm to use and understand why.
It's obvious since they both are from the same vendors and it makes it easier and can get better rates for licensing. Also, sales rapes are very helpful in case of escalations and critical issues.