We are mostly using transmission rules. It has a lot of functions and logic related to transmission. It is a user-friendly tool with in-built functions.

The performance is good.

It is working fine.

The solution is stable.

It can scale well.

The solution is one of the best solutions. 

It is very powerful. It's quite agile. 

It works with multiple servers and offers high availability. It can handle very complex architecture. It has good active-passive capabilities. It makes migrations very easy. 

It is stable.

The solution can scale. 

It offers pretty good support services, at least in France.

It is a very helpful and cost-effective tool for ETL. Data-rich industries use such tools to transform tons of data into insights. The solution is very easy to use. The documentation is self-explanatory. The product performs well. It can be used when we deal with tons of data and millions of records and want to transform it and connect with multiple databases. It can do such operations in the shortest period. It is one of the USPs of the tool.

The most valuable feature for me is the connectors. Basically, the availability of connectors is strong.

Compared to other ETL tools, DataStage has excellent debugging and development capabilities. And the availability of connectors, even though we sometimes have to opt for specific ones. Also, the availability of patches is good.

I also reached out to teams when procuring specific connectors. That process would sometimes take time, but ultimately, DataStage worked well in that regard.

The most valuable feature for our data processing needs is IBM InfoSphere DataStage's capability to handle ETL tasks with large record volumes. 

In IBM DataStage, the Transformer is the most valuable feature for me. It enables me to apply complex transformations, generate the gateway key, and map source tables into the session table.

The best feature of IBM InfoSphere DataStage for me was that it was very much user-friendly. The solution didn't require that much raw coding because most of its features were drag and drop, plus it had a large number of functionalities.

The valuable feature of the solution is, I think, its functionality. So, there are a lot of transformations that you can apply by just using a transformer. Also, you don't need to complicate your SQL queries while trying to transform your data. Hence, the transformer is something I like in the solution.

The most valuable feature of the solution is the ability to incorporate very complex business rules in Data Stage.

The concept of integration is a valuable feature of the product. The product excels in this area. In fact, it is one of the two leading products in the integration field. 

Based on my experience, interacting with data through integration has been more profitable than any other products or projects. Data integration is a reliable feature.

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.

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.

IBM is stable and accurate to monitor. It's easy to understand to monitor the data lineage from source to target.

We can view what we want to do. We can transform data and put them on tables. 

The connectivity with the databases and the speed and flexibility of modeling is excellent. We like the flexibility of modeling.

The solution is stable.

It can scale.

• 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.
  

I am impressed with the tool's ETL tracing. 

It's a robust solution.

The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms. I have not found those in Informatica or Talend.

We mainly use the designer and developer qualities. We use the basic features that we have.

They have many good features. The Hierarchical Data Stage is good.

As a data integration platform, it is easy to use. It is quite robust and useful for volumetric analysis when you have huge volumes of data. We have tested it for up to ten million rows, and it is robust enough to process ten million rows internally with its parallel processing. 

Its error logging mechanism is far simpler and easier to understand than other data integration tools.

The newer version of InfoSphere has the data catalog and IDC lineage. They are helpful in the easy traceability of columns and tables.

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.

The parallel job scan has been a very valuable feature.

IBM InfoSphere DataStage is a good product.

It is quite useful and powerful.

The most valuable feature is the data integration for data warehousing.

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.

The key feature for me is the flexibility this solution offers. 

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. 

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.

The ETL features are the most valuable to our clients.  

ETL is the most valuable feature, extract, transform and load. 

The most valuable feature is the product's versatility to inject data.

Anything that is administrative related, as I don't program in this environment.

• Unlimited database connectors and free-of-charge application connectors - Siebel in our case
• Lot of transformation components
• High scalability