I'm not sure if parallelism will be any / significantly better with SQLCLR. However, it is really easy to test since there is a hash function in the Free version of the [SQL#][1] SQLCLR library (which I wrote) called **Util\_HashBinary**. Supported algorithms are: MD5, SHA1, SHA256, SHA384, and SHA512. It takes a `VARBINARY(MAX)` value as input, so you can either concatenate the string version of each field (as you are currently doing) and then convert to `VARBINARY(MAX)`, or you can go directly to `VARBINARY` for each column and concatenate the converted values (this might be faster since you aren't dealing with strings or the extra conversion from string to `VARBINARY`). Below is an example showing both of these options. It also shows the `HASHBYTES` function so you can see that the values are the same between it and **SQL#.Util\_HashBinary**. Please note that the hash results when concatenating the `VARBINARY` values won't match the hash results when concatenating the `NVARCHAR` values. This is because the binary form of the `INT` value "1" is 0x00000001, while the UTF-16LE (i.e. `NVARCHAR`) form of the `INT` value of "1" (in binary form since that is what a hashing function will operate on) is 0x3100. SELECT so.[object_id], SQL#.Util_HashBinary(N'SHA256', CONVERT(VARBINARY(MAX), CONCAT(so.[name], so.[schema_id], so.[create_date]) ) ) AS [SQLCLR-ConcatStrings], HASHBYTES(N'SHA2_256', CONVERT(VARBINARY(MAX), CONCAT(so.[name], so.[schema_id], so.[create_date]) ) ) AS [BuiltIn-ConcatStrings] FROM sys.objects so; SELECT so.[object_id], SQL#.Util_HashBinary(N'SHA256', CONVERT(VARBINARY(500), so.[name]) + CONVERT(VARBINARY(500), so.[schema_id]) + CONVERT(VARBINARY(500), so.[create_date]) ) AS [SQLCLR-ConcatVarBinaries], HASHBYTES(N'SHA2_256', CONVERT(VARBINARY(500), so.[name]) + CONVERT(VARBINARY(500), so.[schema_id]) + CONVERT(VARBINARY(500), so.[create_date]) ) AS [BuiltIn-ConcatVarBinaries] FROM sys.objects so; Beyond that aspect of the question, there are some additional thoughts that might help this process that are not related to SQLCLR. You mentioned a few things: 1. > we compare rows from staging against the reporting database to figure out if any of the columns have actually changed since the data was last loaded. and: 1. > I cannot save off the value of the hash for the reporting table. It's a CCI which doesn't support triggers or computed columns and: 1. > the tables can be updated outside of the ETL process It sounds like the data in this reporting table is stable for a period of time, and is only modified by this ETL process. If nothing else modifies this table, then we really don't need a trigger or indexed view after all (I originally thought that you might). Since you can't modify the schema of the reporting table, would it at least be possible to create a related table to contain the pre-calculated hash (and UTC time of when it was calculated)? This would allow you to have a pre-calculated value to compare against next time, leaving only the incoming value that requires calculating the hash of. This would reduce the number of calls to either `HASHBYTES` or `SQL#.Util_HashBinary` by half. You would simply join to this table of hashes during the import process. You would also create a separate stored procedure that simply refreshes the hashes of this table. It just updates the hashes of any related row that has changed to be current, and updates the timestamp for those modified rows. This proc can/should be executed at the end of any other process that updates this table. It can also be scheduled to run 30 - 60 minutes prior to this ETL starting (depending on how long it takes to execute, and when any of these other processes might run). It can even be executed manually if you ever suspect there might be rows that are out of sync. ALSO: Paul White, in a comment on this answer, mentioned: > One downside of replacing `HASHBYTES` with a CLR scalar function - it appears that CLR functions cannot use batch mode whereas `HASHBYTES` can. That might be important, performance-wise. So that is something to consider, and clearly requires testing. ALSO: regardless of SQLCLR vs built-in `HASHBYTES`, I would still recommend converting directly to `VARBINARY` as that _should_ be faster. Concatenating strings is just not terribly efficient. _And_, that's in addition to converting non-string values into strings in the first place, which requires extra effort (I assume the amount of effort varies based on the base type: `DATETIME` requiring more than `BIGINT`), whereas converting to `VARBINARY` simply gives you the underlying value (in most cases). [1]: https://sqlsharp.com/?ref=db_228792