IBM InfoSphere DataStage Valuable Features

Ursula Fladeruf
Owner at mip GmbH
The product is a very powerful data management tool and the ability to run it in the parallel mode makes it very, very fast. I would say that the ability to use parallel mode would be one of the most valuable features. View full review »
Executive Director and Co-Founder at 7Spring Consult
The data lineage report can be filtered for reporting. The reports are user-friendly and take less time to find what you need. It is a powerful tool with parallel data streams. View full review »
Ahmed Adel
Technical Lead at a tech services company with 5,001-10,000 employees
DataStage itself is a very powerful tool and you have a lot of transformations that you can do. In comparison to Informatica, you can run very complex transactions on it. It's a precise and powerful environment. And when you have ETLs and you all your data documented on the data manager and you have the rest of management from IBM itself on InfoSphere, it's very powerful, especially when you use the whole suite. It helps with end-user technologies and gives you better imaging. It's powerful in administration mode. It works well when you're using solutions like DataConnect, IBM CDC, etc. DataStage works better with Linux operating systems when the application services are hosted on a Linux system equipment, but it's powerful on Windows too. Also, no matter what language you use, you can always transform the data. I'm not sure about the latest versions, however, as I'm on 11.3, which is about five years old. View full review »
Find out what your peers are saying about IBM, Microsoft, Informatica and others in Data Integration Tools. Updated: February 2020.
397,408 professionals have used our research since 2012.
Partner with 11-50 employees
* Its parallel processing capability allows you to go through extremely large data sets in no time at all, if you do your job right. * Highly customizable: Allowing you to handle multiple data latencies (scheduled batch, on-demand, and real-time) in the same job. * High scalability: Start small and go big with the same job. You just need to adjust the configuration file, no need to recompile. * Strong metadata management: Business, technical, and process metadata can all be managed from a single place. * Ease of integration with other tool sets: Easily supports APIs (or build your own) to support data streaming (or batched) from other systems. * Data Quality Management from within the tool: Supporting data sampling, including profiling of data, directly from the development canvas. View full review »
Amir Miandarbandi
This solution is very easy to use because you can design to compile and to run. The most valuable feature is the ability to transfer information via notes. View full review »
Prasad Bodduluri
Senior Data Warehouse Developer at a software R&D company with 5,001-10,000 employees
The solution is good for bringing in data from third-party systems. Various aspects of the solution are valuable, but it often depends on the use cases. Finding logs is very easy on the solution. Overall, compared to SAS or Informatica, the solution is much easier to navigate. View full review »
Muharrem Iseri
Managing Partner at Caligo
I think the ETL tools are the most valuable features. It has an IBM tool, a friendly UI and it makes things more comfortable. A second good feature is that after you make some ETLs, migrations source to target, DataStage is capable of providing details and extracting data. The push down feature is also a valuable feature. View full review »
Enterprise and Information Architect at a tech consulting company with self employed
ETL is the most valuable feature, extract, transform and load. View full review »
IT Administrator at a aerospace/defense firm with 10,001+ employees
The parallel job scan has been a very valuable feature. View full review »
Technical Partner Manager at a tech services company with 1,001-5,000 employees
The most valuable feature is the product's versatility to inject data. View full review »
Find out what your peers are saying about IBM, Microsoft, Informatica and others in Data Integration Tools. Updated: February 2020.
397,408 professionals have used our research since 2012.