DemandTools. Ensure vs Data Masking — Salesforce

DemandTools. Ensure your data remains your most valuable asset. vs Data Masking

Side-by-side comparison · 24 data points

DemandTools. Ensure your data remains your most valuable asset.

4.7·442reviews

DemandTools is the enterprise-grade data quality engine tens of thousands of Salesforce admins trust. Deduplicate across any object, standardize and import data at scale, and apply mass updates with governance-level control.

salesforcepaid

1. Listing metadata

Field-level data

	DemandTools. Ensure your data remains your most valuable asset.	Data Masking
Tagline	“DemandTools is the enterprise-grade data quality engine tens of thousands of Salesforce admins trust. Deduplicate across any object, standardize and import data at scale, and apply mass updates with governance-level control.”224 chars	“Using the Data Masking App you would have the ability to select the Object and schedule a batch to clear any and all information from the email fields!”151 chars
Description	914 / 2000 chars46% used	342 / 2000 chars17% used
Screenshots	—	—
Languages	en	en
Platforms	Salesforce	Salesforce
Developer	Validity, Inc.	iOPEX Technologies Inc
Listed	January 8, 2006	December 9, 2021

At a glance

7 metrics · auto-computed

Feature comparison between DemandTools. Ensure your data remains your most valuable asset. and Data Masking
Metric	DemandTools. Ensure your data remains your most valuable asset.	Data Masking
Rating	4.7 ★	★ 5.0 ★
Total reviews	★ 442	1
Free plan	—	★ Yes
Pricing	paid	free
Listed features	★ 9	3
Languages	1 supported	1 supported
Listed since	Jan 2006	Dec 2021

2. Features

As listed by each developer

DemandTools. Ensure your data remains your most valuable asset.

MANAGE YOUR DATA IN MINUTES, NOT MONTHS! DemandTools customers experience: 80% reduction in time spent on deduping/data quality tasks. 75% reduction in time spent on lead entry and accuracy. 20% reduction in database size
ASSESS YOUR DATA QUALITY Get a view of where data quality problems exist in your org.
MERGE AND PREVENT DUPLICATES Enforce data governance with configurable matching algorithms and customizable filters that catch duplicates before they take hold. Apply rules-based logic to protect critical business records.
DATALOADER Move enterprise data with confidence: insert, update, upsert, delete, and export records at scale. Validate incoming data against up to five objects using custom matching criteria and enforce field-level standardization automatically.
MASS CHANGE RECORDS Apply changes across records in bulk without exporting data. Drive updates with formulas, hard-coded values, or field-to-field copy logic, and run object counts and field aggregates on demand.
EMAIL VERIFICATION Validate email addresses at the point of entry, checking for typos, syntax errors, domain existence, and mailbox activity. Log verification status and date directly on each Lead and Contact for a full, auditable record.
UNDO AND RESTORE Execute data quality processes with confidence, backed by automatically generated restore files and full undo options, including undo merge, so every change stays reversible and every action stays accountable.
NOTIFICATIONS Maintain full visibility into every data quality process, with no surprises. Deliver real-time alerts to Slack, Microsoft Teams, or email whenever a DemandTools scenario runs, keeping every stakeholder informed at enterprise scale.
USAGE TRACKING Preserve a complete audit trail of every data quality scenario run against your org. Review usage history to see who ran each scenario, how many records were found and actioned, whether the action is reversible, and whether

Data Masking

Select the Object which may receive sensitive information in the email field
Clears out the value from fields of datatype email
Add said Object into the Custom Label. Data gets cleared out based on the batch scheduled

4. Search rankings

Top 5 keywords · shared rankings prioritized

Keyword	DemandTools. Ensure your data remains your most valuable asset.	Data Masking
enables	#1	Not ranked
part of validity	#2	Not ranked
data quality	#3	Not ranked