What is the difference between Attribute Rules and Data Reviewer?
I read the following paragraph but I did not understand what the difference is.
"Data Reviewer is an integrated capability in attribute rule-based workflows, that provides a library of no-code, ready-to-use checks that identify common errors found in GIS data. It also provides error life cycle management to aid in keeping track of errors and the error review process. By comparison, ArcGIS Arcade-based attribute rules can provide more fine-grained control in identifying errors but require familiarity with Arcade."
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You can use Attribute Rules without any additional license and implement data integrity rules and validation.
Data Reviewer provides ready to use workflows and checks (based on Attribute Rules), so you don´t have to implement everything. Data Reviewer provides some more checks/validations that can not be done directly with attribute rules alone, see https://pro.arcgis.com/en/pro-app/latest/help/data/validating-data/pdf/data-reviewer-pro-poster.pdf
Additionally, Data Reviewer provides an easy to use UI to manage and resolve conflicts. It offers much more than optimised Attribute Rules: Data Quality Matters
You can use Attribute Rules without any additional license and implement data integrity rules and validation.
Data Reviewer provides ready to use workflows and checks (based on Attribute Rules), so you don´t have to implement everything. Data Reviewer provides some more checks/validations that can not be done directly with attribute rules alone, see https://pro.arcgis.com/en/pro-app/latest/help/data/validating-data/pdf/data-reviewer-pro-poster.pdf
Additionally, Data Reviewer provides an easy to use UI to manage and resolve conflicts. It offers much more than optimised Attribute Rules: Data Quality Matters