IBM InfoSphere DataStage Reviews

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.

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.

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. 

We started using this solution as we needed a system upgrade. We had to move the Db2 data to a AS400 system. 

Their web interface is good but the on-prem sites are outdated. The solution could also be improved if they could integrate the data pipeline scheduling part of their interface. 

We have been using this solution for a couple of months.

This is a scalable solution. 

When we have needed help from the IBM team, they were helpful. Our company is a premium partner so we get fast responses. 

Positive

The infrastructure and the software configuration part was done by one of my teammates. We were able to complete it in two working days. This was only for the installation of DataStage. 

I would advise others to identify the communication between servers and the client tools correctly. If working from a client environment and connecting to the server, configuration should be done correctly, otherwise you may encounter some issues.

I would rate this solution an eight out of ten. 

I am a consultant. I provide product information for our clients.

IBM InfoSphere DataStage is a good product.

It is quite useful and powerful.

From a practice point of view, solutions such as IBM InfoSphere DataStage and Oracle Data Integrator are losing ground, whereas open-source solutions are becoming increasingly powerful.

For example, we are currently working hard on several examples, and in a few years, open-source solutions will take the lead in the market. It will be used by large enterprises. 

Clients are looking for open-source solutions more and more.

It would be useful to provide support for Python, R, and Java.

I have more than 22 years of experience with many different products. 

It has been three to four years that we have been using IBM InfoSphere DataStage.

I have no issues with the stability of IBM InfoSphere DataStage.

Clients are quite dependant on support from the vendor. For example, if you want to activate a new feature on the product, you must create a ticket. You have no information on when it will be implemented, and the vendor does not know because they have a stream of tickets that are completed by the priority given to the ticket.

I am a consultant. I have different projects with different platforms. We are constantly going back and forth to different solutions for different projects.

I have had clients who have used Amazon Redshift.

Over the years, my clients have used many different products. For example, they use IBM Landscape and we use IBM InfoSphere.

The initial setup was straightforward. We did not have issues.

Comparable solutions will have common disadvantages, which is the total cost of the project.

It's quite expensive.

From time to time, I evaluate different products for my clients.

We have had different projects with three of four clients. The average term per project has been nine months and one year.

If you are working with an open-source solution or another solution, you can implement some features by yourself. For example, in the case of Amazon, which has Amazon Lambda, you can easily write your code in Python or Java, and it will orchestrate it. You can create your features yourself easily and gives you more abilities to make your solution run quicker, eliminating the dependence from the vendor.

I would rate IBM InfoSphere DataStage an eight out of ten.

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 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 are using this solution with enterprise customers for ETL (Extract, Transform and Load). The clients are just using it for retail processes.  

The ETL features are the most valuable to our clients.  

The product is pretty complex to set up. I think it is quite expensive. So, the set up could be simplified and the price could be brought in line.  

I have been using IBM Infosphere for 20 years.  

Once you have Infosphere up and running properly, it is stable.  

The product is definitely scalable.  

We previously worked with DataStage Informatica, we worked with Talend, we worked with SSIS, we looked at a lot of things in the course of providing solutions for customers.  

We probably work with SSIS (SQL Server Integration Services) more often because it is cheaper and easier to get hold of. More clients run SSIS than most of the others, but then most clients do not have massive workloads that require something more robust.  

It is quite a complex tool to set up properly in any environment. It requires someone who has experience with the product.  

My advice for anyone considering IBM Infosphere Datastage is to use a decent consulting house to help you once you get around to committing to the product. Do not assume that you will be able to go at this alone unless you have an extremely talented staff.  

On a scale from one to ten (where one is the worst and ten is the best), I would rate this product as a seven-out-of-ten.  

I'm an enterprise and information architect, and we're a customer of IBM. I personally don't use the product but assist companies in the market do for making the integration picture and design.

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

I think that performance monitoring could be improved. I know that my colleagues don't give good monitoring. I'm not sure if it's because of the product or because they don't do it normally, but performance monitoring is an issue. I also believe integration with the cloud is not so clear. It's typically a heavy system that people install on-premise. You can install it in the cloud, but it's not so straightforward. You don't find a lot of information unless you go to the IBM cloud. I think IBM is behind in cloud strategy, we would like to put it in the cloud, but there isn't much information about that. 

There are three things that could improve - the cloud, monitoring and cloud integration. It's a solid product but not a modern one and of course it depends what you're looking for. 

I've been using this product for 15 years. 

In the company I'm working with now you can see it's scalable.

We've been using the product a long time and hardly need technical support, which is great. We have very few problems.

I've never done an installation but I believe it's relatively complex, IBM usually is. 

I think DataStage is a product that one should look at as a good candidate in this segment.

I would rate this product a seven out of 10.