IBM InfoSphere DataStage Reviews

We migrate data from old databases to new databases. 

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

I want the tool to continue with the on-prem version, not the cloud one. 

I have been using the solution for six years. 

I rate the solution's stability a seven out of ten. 

My company has 12 users for IBM InfoSphere DataStage. I rate its scalability a nine out of ten. 

It takes time to get answers from the support. The responsiveness varies. Sometimes it is fast, and other times it is slow. 

Neutral

IBM has good installation documents. The tool's deployment took a day to complete. 

As part of the tool's maintenance, we install the updates and take backups. We rely on two engineers to help with the process.  I rate IBM InfoSphere DataStage an eight 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 primarily use the solution for the UTS tool as well a for billing and data. We use it to clean the data from different systems and for pulling in data.

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.

The mod options should be simplified. Some options on DataStage aren't working properly.

The solution needs to lower its price.

The template mapping could be easier.

The solution should allow for compression of data.

I've been using the solution for about 12 years.

Typically, the solution is stable.

The solution is scalable. We have about six or seven clients using the solution currently.

We've never been in direct contact with IBM's technical support. We use a third party, so if we have issues, we turn to them for troubleshooting.

We previously used tools such as Informatica. We've also previously used SQL for billing.

The initial setup is easy for the DataStage, but for billing and metadata, it gets more complicated. In our case, before installing the metadata, the proper documentation was not there, which complicated things a bit.

We handled the implementation ourselves.

The solution is quite expensive in comparison to similar solutions.

We did approach other vendors before ultimately choosing IBM.

We use the on-premises deployment model.

If you are comparing the solution to Informatica, this solution is much simpler. In Informatica, for example, there might be two to three ways to find a log, but with DataStage, they make it much easier. However, compared to other vendors, IBM's licensing costs are more expensive.

I'd rate the solution eight 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.