IBM InfoSphere DataStage Reviews

IBM InfoSphere DataStage is a core ETL tool. We use it with source systems like mainframes. DataStage is perfectly suited for extracting data from mainframes.

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

DataStage is quite expensive. It is too hard to find a consultant using DataStage in Turkey.

I have been using IBM InfoSphere DataStage for three years. I also used this solution for two years back in 2009-10.

The product is stable.

I rate the solution’s stability a nine out of ten.

I rate the solution’s scalability an eight out of ten.

The quality and response time of support is fine. It's pretty quick.

Positive

Informatica is the first choice for me. It's easy to use and not so expensive compared to DataStage.

You install IBM InfoSphere DataStage once you've set it up properly. It's robust and reliable, but initially configuring it can be challenging.

The first consideration is the type of source system they have, whether it is a mainframe or not. Another key indicator for me to suggest DataStage is if the client has other IBM ecosystems, such as data quality or IBM governance tools. This makes it highly suitable because you can easily establish data lineage.

Overall, I rate the solution a seven out of ten.

There could be more customization options for the product.

We have been using IBM InfoSphere DataStage for 20 years. At present, we are using version 11.7.

I rate IBM InfoSphere DataStage’s stability a five out of ten.

The product is suitable for enterprise companies. We have 100 users for it. I rate the platform’s scalability a seven out of ten. It is easily scalable compared to other systems.

The complexity of the technical support services depends on the contact person. Sometimes, it is a good experience, while sometimes a poor experience communicating with their executives.

Neutral

The product is easy to deploy. I rate the process an eight or nine. The deployment time depends on the specific requirements of customers. It takes approximately three months to complete. It requires a team of five to 100 people to execute it, depending on the company size.

The product is expensive. I rate its pricing a ten out of ten.

I rate IBM InfoSphere DataStage an eight out of ten.

We use it for many kinds of projects. For example, we use it for business intelligence, master data management, data quality, data governance, data integration to SAP, Oracle retail, and real-time integration.

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 graphical user interface (GUI) feels a lot like the interfaces from the 1980s. Regarding IBM, they initially indicated that version 8.11.7 would be their final release. We require more connectors to establish clear connections to cloud services. Connecting to the cloud is not easy or transparent within the product. Although the product has the potential to connect to the cloud, configuring and setting it up is challenging.

In future releases, connecting to the cloud should be easy and transparent.

I’ve been using this solution since 2005. I’m currently using version 11.7.

The stability of the solution is ten on ten.

The scalability of the solution is nine on ten.

Setting up the system is difficult and requires a lot of technical expertise. It demands a high level of experience during the setup process. 

However, despite the difficulty, our team, possibly the only one in Mexico, is good at quickly completing the setup.

Most of our implementations or installations are on-premises, accounting for approximately 90% of the total. The remaining 10% of our implementations are on the cloud.

The product has proven to be exceptional and highly competitive in the market. As a result, I have experienced substantial financial success with the product. There are many examples we have for the ROI.

The price of the product is reasonable, especially for mid-sized companies. We have been successfully selling to several mid-sized companies.

The market is indeed filled with numerous solutions. Currently, I am exploring Microsoft's offerings, particularly their integration capabilities. Also, the purpose and functionalities of Azure are pretty interesting. I have been working with Quick Link, and specifically, I have been working with Azure Database.

If you want to learn about integrating data, this product offers a valuable learning opportunity. Then you can consider transitioning to the next product in line. The underlying concept remains the same. 

I believe this solution is more reliable and provides a better understanding of data integration, data quality management, and master data management. It covers all aspects of data management, making it easier to learn. 

This is my perspective, possibly influenced by my extensive experience working with this product for many years. It is the main strength of this solution.

Overall, I would rate the solution a ten out of ten. 

The product is primarily used for  intense data transformation; it's part of the risk management, and dataflow, and is sourcing data from the data warehouse on the SAP Sybase platform.

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.

We'd like better integration with source control and error and diagnostic information. The error messaging needs to be improved. 

The solution is a bit complicated. 

I've been using the solution for four years. 

It's stable. it's reliable. There are no bugs or glitches. It doesn't crash or freeze. 

We can scale the solution as needed. 

There are about 50 users on the solution right now. 

While technical support may have been used, I have never personally dealt with them.

I've used SSIS as well and find this product to be more difficult to set up.

The initial setup can be challenging. It's harder to set up than, for example, SSIS.

I'm not sure how long it took to set up, as it was already in place when I joined the team. However, I would say it took a week to deploy.

We have five people on hand that can handle deployment and maintenance tasks. They are all engineers. 

The initial setup can be handled in-house. 

The licensing we have is permanent. 

I'd recommend the product to others. 

I'd rate it a nine out of ten. We've been pleased with its capabilities overall. 

The primary use case is for ETL purposes for when we're building data warehouses or data marts. We use it to get the data from different disparate sources, do some ETL on them, and we use DataStage and then load them into the data warehouse, database, or data mart.

This solution used to be on-premises, but they've recently come out with a hybrid offering.

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

As a product, it needs to be more stable. It's a legacy product, so even though it's high-performing, it's not very stable compared to other products like Informatica or Talend. The UI also looks dated.

In the future, I would like to see more integration with cloud technologies. Technical support could be improved.

I've worked with DataStage for about 9 years.

The stability could be better.

It's scalable.

I would rate technical support 6 out of 10.

For the on-prem solution, it was moderately complex. I'm not sure about the hybrid version.

I would rate this solution 8 out of 10.

We are a solution provider and this is one of the products that we implement for our clients.

This solution has an end-to-end process used for data integration.

It's a robust solution.

The initial setup could be more straightforward.

We have been providing IBM InfoSphere DataStage for one year.

I believe this solution is stable. We have not received any feedback from our clients.

To my understanding, this solution is scalable.

We have several customers who are currently using it.

I have not contacted technical support.

We have a long list of different providers such as Informatica, IBM, Oracle, Microsoft SSIS, Pentaho, and Talend.

The installation was not straightforward and I would rate it at medium complexity.

The installation required assistance from an expert from IBM.

The price is expensive but there are no licensing fees.

Informatica provides a cloud-based deployment but we only work with the on-premises version. This is a product that I can recommend.

I would rate this solution a six out of ten.

We use IBM InfoSphere DataStage to extract data from different sources and perform business logic. It helps us in data transformation and loading into our data warehouse. The tool is also used for reporting purposes and selecting different extract files.

The IBM InfoSphere DataStage solution is user-friendly and easy to learn, which makes it convenient to work on. It supports business logic implementation. 

Additionally, it's useful for reporting and selecting different extract files.

Currently, the solution does not support cloud migration. We cannot connect to cloud tools using IBM InfoSphere DataStage. This is an area where improvement is needed.

I have been using IBM InfoSphere DataStage for ten plus years.

IBM InfoSphere DataStage is stable.

IBM InfoSphere DataStage is scalable.

I haven't faced any challenges with the technical support in version eleven point one. Previously, we faced challenges in version nine point one, but these were addressed after migrating to version eleven point one. 

I would rate the technical support ten out of ten.

Positive

I have not worked with any other solutions for data integration. My career has been focused on using InfoSphere DataStage only.

The initial setup was straightforward.

Our setup and implementation were done in-house by using the DevOps processes within our team. We rely on the DevOps and Jenkins tool for deployment.

If dealing with complex data, I recommend IBM InfoSphere DataStage. For less complexity, other tools might be suitable. 

On a scale of one to ten, I rate IBM InfoSphere DataStage as nine.

I work as a consultant and I have several projects with the Russian banks. My main expertise is building data warehouses and I use the product as a ETL. 

I am impressed with the tool's ETL tracing. 

It would be great if they can include some basic version of data quality checking features. 

The solution is quite stable. 

I would rate the product's scalability an eight out of ten. 

I would rate the product a nine out of ten. You need to get a balance between batch ETL processing and streaming.