I rate Striim an eight out of ten, as it satisfies business requirements for real-time data while strictly protecting our mainframe performance and transaction speeds. I chose eight out of ten because there are a few disadvantages, such as a few features that might be good, including the initial schema mapping tool that can have a learning curve when dealing with deeply nested mainframe structures or copybooks. As a BA perspective, a friendly interface for mapping would be good. The accuracy of Striim is quite good; we tested it by matching the values we had in the mainframe system, and after loading into the new and modern data warehouses, the accuracy was great. My advice to others looking into using Striim for mainframe development or modernization is to ensure that your mainframe developers and BA collaborate closely from day one. I suggest pre-defining your target cloud schemas and business rules so you can immediately unlock the power of that real-time stream. Striim acts as the perfect modern bridge for legacy environments, keeping both our development teams and business stakeholders happy. We were happy to use Striim for that particular project, and I hope we can use it further. I also hope that the few features I would like to see added are integrated, so we can use it seamlessly.
I would definitely consider Striim before picking popular vendors like Fivetran. Also, make sure your licensing is in terms of memory or cores. Do not go with a licensing model based on the number of events. I would rate this review an 8 out of 10.
I consider Striim to be a stable platform. My advice to other companies considering using Striim is that they should take it into account because of its great versatility. I have given this review a rating of eight.
Striim offers a comprehensive platform for real-time data integration and streaming analytics, designed to streamline data processes for enterprise-level solutions.Striim enables seamless migration and integration of data across cloud and on-premises environments, making it ideal for businesses looking to leverage real-time analytics. Its capabilities support continuous data flow, reducing latency and enhancing decision-making. Designed for scalable and secure data management, Striim...
I rate Striim an eight out of ten, as it satisfies business requirements for real-time data while strictly protecting our mainframe performance and transaction speeds. I chose eight out of ten because there are a few disadvantages, such as a few features that might be good, including the initial schema mapping tool that can have a learning curve when dealing with deeply nested mainframe structures or copybooks. As a BA perspective, a friendly interface for mapping would be good. The accuracy of Striim is quite good; we tested it by matching the values we had in the mainframe system, and after loading into the new and modern data warehouses, the accuracy was great. My advice to others looking into using Striim for mainframe development or modernization is to ensure that your mainframe developers and BA collaborate closely from day one. I suggest pre-defining your target cloud schemas and business rules so you can immediately unlock the power of that real-time stream. Striim acts as the perfect modern bridge for legacy environments, keeping both our development teams and business stakeholders happy. We were happy to use Striim for that particular project, and I hope we can use it further. I also hope that the few features I would like to see added are integrated, so we can use it seamlessly.
I would definitely consider Striim before picking popular vendors like Fivetran. Also, make sure your licensing is in terms of memory or cores. Do not go with a licensing model based on the number of events. I would rate this review an 8 out of 10.
I consider Striim to be a stable platform. My advice to other companies considering using Striim is that they should take it into account because of its great versatility. I have given this review a rating of eight.