What's New in ArcGIS Data Reviewer (November 2025)

ArcGIS Data Reviewer is an extension to ArcGIS Pro and ArcGIS Enterprise that automates, simplifies and improves data quality management workflows. The release of ArcGIS Pro 3.6 and ArcGIS Enterprise 12.0 introduces new automated review workflows for identifying poor-quality features, enhancements to data quality checks and improved support for visual review workflows. Read this blog for details on what’s new in the ArcGIS Data Reviewer November 2025 release.

Enhanced automated review tools

Data Reviewer checks support multiple workflows in ArcGIS Pro and ArcGIS Enterprise that automate the detection of features that do not meet an organization’s requirements. These include a no-code option for implementing attribute rules, as well as an interactive experience for identifying errors in ad hoc workflows using the Run Data Checks command.

Enhancements to checks in the ArcGIS Pro 3.6 and ArcGIS Enterprise 12.0 release include the following:

• The Duplicate Feature check has been updated to include the evaluation of a feature’s Z-values when determining whether it is a duplicate of another feature in the same or a different feature class.

• The Feature on Feature check now supports the evaluation of a feature’s Z-value when assessing its spatial relationship to other features when used from the Run Data Check tool.
• The Valency check is now available in the Run Data Checks tool. This check validates relationships between points or nodes of polyline features that intersect with a specified number of other polyline features. The check is commonly used in industries that maintain linear assets such as water, wastewater, and gas utilities. For example, In gas/water utilities, reducer fittings should not connect to more than two pipes or connect to two pipes with the same diameter.

• The Composite check is now available in the Run Data Checks tool. This check lets you assess multiple error conditions at once for a feature class or table. For example, when mapping pipe fittings in water utilities, a cap fitting should be connected to either a water main or a service lateral. Using the Composite check to combine the results from two Feature on Feature checks identifies those cap fitting features that are not connected to either a water main or a service lateral.

• Workflows that simplify and automate the creation of Reviewer-based attribute rules have been expanded in ArcGIS Pro. These workflows include the following:
  • A new workflow now exists in the Run Data Checks tool for creating attribute rules. The Run Data Checks tool is frequently used to identify and test check configurations that implement data quality requirements using attribute rules. The tool now supports the export of check configurations to attribute rule .csv files from the tool’s History drop-down.See the updated Implement automated quality control quick-start tutorial to learn more about this new workflow.
  • The Export to Attribute Rules tool automates the migration of data quality implementations created in ArcMap to ArcGIS Pro. The tool now supports the export of Valency check configurations from Reviewer Batch Jobs to attribute rule .csv files.

The attribute rule .csv files generated by these workflows are used to create validation attribute rules, which provide data validation that is consistent and repeatable within the geodatabase.

Error Management

The Error Inspector in ArcGIS Pro has undergone a series of improvements, reflecting user feedback regarding usability. These include the following:

• The usability of the Fields Filter tool is improved by eliminating the redundant Rule Type filtering property and adding the Category property to better support the management of errors resulting from visual quality control workflows.
• Error details presented in the Error Inspector pane are now available for copying and pasting into external applications, such as MS Excel. This functionality supports both copying individual cell values, as well as the entire contents of the pane.

New tools for visual data quality review

• The Select Random Sample tool is now available to support the creation of random samples of features and rows. Random sampling is a common technique used when conducting visual data quality review. This tool replaces and extends capabilities previously available in Data Reviewer’s Sampling check by providing support for automated workflows and services-based sampling.
• A companion tool to Select Random Sample, the Reselect Random Sample supports the regeneration of a previously created random selection. This tool is useful in situations when a record of the sampled features is needed to complete a review of features or to document the set of features used in an analysis.
• The Compare Schema tool is now available for all ArcGIS Pro users. This tool enables users to compare a base geodatabase schema with a test schema, showing differences in geodatabase objects, including feature classes, tables, and related properties such as subtypes, domains and spatial references. This tool replaces and expands on capabilities previously available in Data Reviewer’s Geodatabase Schema Compare tool in ArcMap.

Deprecation of the Reviewer Workspace and tools in ArcGIS Pro

ArcGIS Data Reviewer will undergo change at the ArcGIS Pro 3.7 release. The ArcGIS Pro 3.6 release is the final release to support workflows reliant on Data Reviewer’s Reviewer Workspace error management capability. Deprecated tools include those that support automated review of features using Reviewer Batch Jobs, performing visual review, Reviewer Workspace management, and customization support through the ArcGIS Pro SDK for .NET. For more information on the deprecation, please see the ArcGIS Data Reviewer Functionality Deprecation Notice.

These workflows are replaced by Data Reviewer-based attribute rule workflows, which have been available since the ArcGIS Pro 2.5 and ArcGIS Enterprise 10.8 releases. See the Migrating to attribute rules using ArcGIS Data Reviewer article for more information.