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. 

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.

The most powerful use of this solution is for full delivery integration. Aside from the ETL aspect, it makes data lineage. We are customers of IBM InfoSphere and I'm head of IT integration and finance transformation.

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

The solution is currently lacking virtualization ability. If they were to include it, it could be a good evolution on this framework. I'd like to see an improvement in support and a more customer friendly and knowledgeable support staff.  

I've been using this solution for over 20 years. 

Scalability is a question of licensing, but it can definitely be done.

Technical support could be better - more knowledgeable and customer friendly. 

We outsourced deployment to IBM and didn't have any issues. Implementation took about two weeks. We have between 20 and 30 users in the company and our maintenance is carried out by IBM.

We pay an annual licensing fee. 

Yes, we evaluated other tools, and this tool is competing internally with our PySQL development. It's a battle between code and local.

I rate this solution an eight 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 are a consulting company and we use this solution for our clients. We set up the data for them. We have various healthcare-related information from their vendor and business partners. They have integrated them and get data reports from it.

It improves how our client's organization functions.

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.

The interface needs improvement. The interface in Informatica is easier than in DataStage.

The licensing can be improved. Many companies are moving away from DataStage because it is expensive.

The biggest issue that is unclear is how are they integrating into DevOps when they are binary files.

We would like to see DataStage integrated with DevOps so that a pipeline can be created for auto-deployment. Right now we are all doing it manually.

I have been working with IBM InfoSphere DataStage for seven years.

We have the 11.3 version but have recently migrated to the 11.7 version.

It's a stable product, it's not new.

It's very scalable. Our clients are medium-sized companies with a 1.5 billion turnover.

We reached out to IBM because the file was not readable, and they resolved the issue.

Technical support is good. I have not found any issues with technical support. I would rate them an eight out of ten.

In some cases, they have a delay in giving suggestions for the configuration.

Previously, in another company, I worked with Informatica. There are not a lot of differences but the interface is easier than it is in DataStage.

I don't do the setup, but I think that they have many challenges.

Initially, we had challenges with the configuration. We were trying to use the comparison for Excel, and reading the Excel files from the source, but the files were not readable.

It's very expensive.

I am not a developer, I have a team within our company for that.

There is a cloud migration strategy going on, so they are thinking of moving to the cloud. They want a tool that is not heavy and suitable for their budget.

The recommendation for using this tool would depend on the requirements. 

I don't have anything bad to say about this product.

I would rate this solution an eight out of ten.

We primarily use this product for data loading. We take data from different applications and databases and put it into our data warehouse. 

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

The response time from support is slow and needs to be improved.

I have been using InfoSphere DataStage for almost eight years.

This is a stable product.

We have almost 30 people who use InfoSphere DataStage.

Technical support can be slow.

This product has a lot of good features.

I would rate this solution an eight 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.