erwin Data Intelligence by Quest Standard Data Connectors

Do you use the solution’s Standard Data Connectors? If yes, how would you assess them for automating metadata harvesting and ingestion from common industry sources? Please provide details.

AS
Architect at a insurance company with 10,001+ employees
There are a lot of Data Connectors that gather the data from all different source systems, like metadata from many data stores. We configure those Data Collectors, then install them. The Data Connector that helps us load all the metadata from the erwin Data Modeler tool is XML-based.
View full review »
JC
Works at a insurance company with 5,001-10,000 employees
I would rank the Standard Data Connectors for automating metadata harvesting and ingestion from common industry sources as the highest piece of the product. It was our big use case, and in terms of being able to generate DDL and SSIS mapping to harvest data, I would rank it very high.
View full review »
TZ
Analyst at Roche
Data Intelligence's standard data connectors for the metadata manager are easy to use. We can connect the systems and have everything in place.
View full review »
KW
Senior Solution Architect at a pharma/biotech company with 10,001+ employees
We are using the connectors for Snowflake and our data warehouse. The data connectors work well. We've never had any bugs or other issues when new versions of the connectors are released.
View full review »