BI Analyst DW Architect at a mining and metals company with 10,001+ employees
Real User
Jul 9, 2021
We tend to use the latest version of the solution. We are considering the cloud. We are currently debating whether we need to go to WhereScape or drop WhereScape and we go to the cloud. I've been asking about their host-ability and version controllability if we move to the cloud and they were not giving too many promising answers. Basically, when we go to cloud viewer, we want it to go completely on a platform as a service, not infrastructure as a service, as IaaS is a little more costly than PaaS - The Chinese PaaS. Also, we would like to use, as a team, seven or eight people at scale - not just on the server installed and then use it as one or two accounts. The whole stability issue on the cloud needs a little more clarification. I'd advise companies considering the solution that, if it is on-premise and they have a good volume of data coming, it can be easy to start using it. I'd say that negotiating is important and making sure that the pricing is clear, as they can come back and alter the price after the fact. Other than that, if you had a lean team, I would say go for Wherescape. It's simple, straightforward, and not too complex. That said, if you have more XML semi-structured data, or unstructured data, you might want to look for some other product. I'd rate the solution at an eight out of ten.
Data Engineer ( Business, Technology and Information Services ) at a government with 1,001-5,000 employees
Real User
Aug 1, 2019
I would not hesitate to say that if someone has really limited time for a project it can make a difference and you can have the data ready for use in a very short period of time. This can be a lifesaver. I will rate this solution a seven out of ten.
WhereScape RED streamlines data warehousing processes through automation, empowering organizations with agile code generation and easy management of data integration and documentation.WhereScape RED provides automated documentation, agile code generation, and a metadata-driven framework, making it ideal for enterprise data warehousing. It integrates well with methodologies like Data Vault and Kimball, offering data lineage, impact analysis, and ELT capabilities. With diverse data environment...
We tend to use the latest version of the solution. We are considering the cloud. We are currently debating whether we need to go to WhereScape or drop WhereScape and we go to the cloud. I've been asking about their host-ability and version controllability if we move to the cloud and they were not giving too many promising answers. Basically, when we go to cloud viewer, we want it to go completely on a platform as a service, not infrastructure as a service, as IaaS is a little more costly than PaaS - The Chinese PaaS. Also, we would like to use, as a team, seven or eight people at scale - not just on the server installed and then use it as one or two accounts. The whole stability issue on the cloud needs a little more clarification. I'd advise companies considering the solution that, if it is on-premise and they have a good volume of data coming, it can be easy to start using it. I'd say that negotiating is important and making sure that the pricing is clear, as they can come back and alter the price after the fact. Other than that, if you had a lean team, I would say go for Wherescape. It's simple, straightforward, and not too complex. That said, if you have more XML semi-structured data, or unstructured data, you might want to look for some other product. I'd rate the solution at an eight out of ten.
I would recommend this product to new users. On a scale from one to ten, I would give WhereScape RED a seven.
For the cost it has a very effective bang for buck.
I would not hesitate to say that if someone has really limited time for a project it can make a difference and you can have the data ready for use in a very short period of time. This can be a lifesaver. I will rate this solution a seven out of ten.