We are using the on-premises version of IBM InfoSphere Information Server, but we feel that all new development is mainly for the cloud. We receive corrections of errors, but we do not see new functionality.
As for utilizing the platform's metadata management feature, I have not worked on that feature yet, but personally, I have done that. To evaluate the effectiveness of IBM InfoSphere Information Server's data integration capabilities, if IBM is providing all the solutions we are using, then it is definitely a helpful thing. Mostly, the other thing is that it is a big area including data governance, data lineage, data management, and metadata, but every customer is not putting that much effort and money on that. They mostly migrate the data, use it, and forget it, but slowly things are changing. I am working in Saudi Arabia, so here also data governance, data management, and those kinds of things are getting attention. Regarding how scalable IBM InfoSphere Information Server is, I need to learn how to tune performance and scalability on the cloud. I am familiar with localized hardware, but on the cloud, I still have to do the work around it. In the beginning, we estimate the load and based on that, we put the hardware, but if there is continuous increase, I believe IBM also faces problems. Scalability needs to be improved because once the demand comes, you should be able to improve it, but for that, documentation on how to add hardware or resources to the software needs to be proper. I do not have much hands-on experience with that.
Lead Software Engineer at a financial services firm with 10,001+ employees
Real User
Oct 30, 2023
There are certain shortcomings in the cloud side of the solution, where improvements are required. In our company, we are presently in the process of doing a PoC phase since we have the solution currently deployed on an on-premises model. My company expects to deploy the solution on a private cloud, but most of the options that we get to see are from public clouds, like AWS, Azure, and Google. The challenge related to the solution stems from the fact that it is difficult to find private cloud support for the product.
Data Integration is a process that connects disparate data sources to streamline data management, enhance accuracy, and enable comprehensive analysis within an organization.This practice is critical for businesses aiming to consolidate data from diverse systems and databases. By doing so, organizations can ensure data consistency and integrity across all departments, supporting informed decision-making and operational efficiency. It also plays a significant role in enabling real-time...
We are using the on-premises version of IBM InfoSphere Information Server, but we feel that all new development is mainly for the cloud. We receive corrections of errors, but we do not see new functionality.
As for utilizing the platform's metadata management feature, I have not worked on that feature yet, but personally, I have done that. To evaluate the effectiveness of IBM InfoSphere Information Server's data integration capabilities, if IBM is providing all the solutions we are using, then it is definitely a helpful thing. Mostly, the other thing is that it is a big area including data governance, data lineage, data management, and metadata, but every customer is not putting that much effort and money on that. They mostly migrate the data, use it, and forget it, but slowly things are changing. I am working in Saudi Arabia, so here also data governance, data management, and those kinds of things are getting attention. Regarding how scalable IBM InfoSphere Information Server is, I need to learn how to tune performance and scalability on the cloud. I am familiar with localized hardware, but on the cloud, I still have to do the work around it. In the beginning, we estimate the load and based on that, we put the hardware, but if there is continuous increase, I believe IBM also faces problems. Scalability needs to be improved because once the demand comes, you should be able to improve it, but for that, documentation on how to add hardware or resources to the software needs to be proper. I do not have much hands-on experience with that.
There are certain shortcomings in the cloud side of the solution, where improvements are required. In our company, we are presently in the process of doing a PoC phase since we have the solution currently deployed on an on-premises model. My company expects to deploy the solution on a private cloud, but most of the options that we get to see are from public clouds, like AWS, Azure, and Google. The challenge related to the solution stems from the fact that it is difficult to find private cloud support for the product.
Their technical support needs improvement.
We would like to have a server version of this solution. This solution would benefit from the engine being made more lightweight.