Compare Active Directory Environments Users/Groups/Group_Memberships

So here is an overall view of the data layout. 

Top side we have Group Tables
Bottom side we have User TablesLeft Side is Development Environment
Right Side is Production Environment

Here is a list of the tables
All Tables

Every User tables contains the Users DisplayName and DistinguishedName
Every Group table contains the Group DisplayName and DistinguishedName

I also created List tables so that I can narrow down work to just users or just groups or a specific environment.
DynamicTables

I have created relationships from each 
prod_group-*** and prod_user-*** to the corresponding dev_group-*** and dev_user-***
each ***_group-*** is connected to ***_group
each ***_user-*** is connected to ***_user
***_group-members are connected to ***_group and ***_user

All relationships except the following are inactive

All relationships are linked to column distinguishedName

I was able to create a measure that would provide me with a comparison of the users in dev and prod using this:

Comparison = 
VAR BothExist = 
    COUNTROWS(
        INTERSECT(
            VALUES('dev_user-user'[distinguishedName]),
            VALUES('prod_user-user'[distinguishedName])
        )
    )
VAR OnlyInProd = 
    COUNTROWS(
        EXCEPT(
            VALUES('prod_user-user'[distinguishedName]),
            VALUES('dev_user-user'[distinguishedName])
        )
    )
VAR OnlyInDev = 
    COUNTROWS(
        EXCEPT(
            VALUES('dev_user-user'[distinguishedName]),
            VALUES('prod_user-user'[distinguishedName])
        )
    )
RETURN
    CONCATENATEX (
        {
            "Both Exist: " & FORMAT(BothExist, "#,##0"),
            "Only in Prod: " & FORMAT(OnlyInProd, "#,##0"),
            "Only in Dev: " & FORMAT(OnlyInDev, "#,##0")
        },
        [Value],
        UNICHAR (10)
    )

 
I thought I could use the DAX query to get me more information on all the column names 

EVALUATE
SUMMARIZE(COLUMNSTATISTICS(),[Table Name],[Column Name])

However, its to large of a query and excedes 1024. 
I tried to break it down into their perspective data clusters

EVALUATE
VAR DevUsers = 
    SUMMARIZE(
        FILTER(
            COLUMNSTATISTICS(),
            LEFT([Table Name], 9) = "dev_user-"
        ),
        [Table Name],
        [Column Name]
    )
VAR ProdUsers = 
    SUMMARIZE(
        FILTER(
            COLUMNSTATISTICS(),
            LEFT([Table Name], 10) = "prod_user-"
        ),
        [Table Name],
        [Column Name]
    )
VAR DevGroups = 
    SUMMARIZE(
        FILTER(
            COLUMNSTATISTICS(),
            LEFT([Table Name], 10) = "dev_group-"
        ),
        [Table Name],
        [Column Name]
    )
VAR ProdGroups = 
    SUMMARIZE(
        FILTER(
            COLUMNSTATISTICS(),
            LEFT([Table Name], 11) = "prod_group-"
        ),
        [Table Name],
        [Column Name]
    )
RETURN
UNION(DevUsers, ProdUsers, DevGroups, ProdGroups)

 But it still exceeded 1024mb. I even tried to granuarly break them down blocking out 5 tables at a time, and it still exceded. 

So now I am left with trying to figure out a way to compare 2 tables at a time, however Im still not sure how to accomplish this efficiently and not have to write multiple queries and measures per pair of tables. 

Again the end goal here is to be able to determine the data that is missing in Development Environment that is in Production.