Data Masking for Salesforce AppExchange
Data Masking is the #66 ranked data cleansing app on Salesforce, with a 5.0 average rating from 1 review, with a free plan available, as of Jul 15, 2026.
Data Masking is a Salesforce AppExchange app by iOPEX Technologies Inc. With a rating of 5.0★ from 1 reviews, it currently ranks #66 in the Data Cleansing category.
AppRanks data: Data Masking ranks #66 in Data Cleansing on Salesforce AppExchange, placing it in the top 52% of that category.
AppRanks verdict
Generated from live marketplace data — refreshed daily
Data Masking is a category-leading Salesforce app with a limited review volume. It is listed in the Data Cleansing category on Salesforce AppExchange, which AppRanks treats as the canonical taxonomy node for ranking and competitor comparison. 1 reviews put it in the early-traction tier — useful for early-stage stores willing to be on the leading edge. Early-traction review counts are sensitive to single launch periods or feature events, so a 30-day re-check before bigger commitments often resolves whether the trend is sustained. The free tier lets you trial the entry feature set without committing a payment method. AppRanks tracks rating, review count, pricing tier, and category position daily — the figures on this page reflect the most recent scrape from the canonical Salesforce AppExchange listing.
Pros
- +High average rating (5.0★) signals consistent merchant satisfaction
- +Free tier available — no card required to evaluate
- +Published by iOPEX Technologies Inc — established developer track record
Cons
- −Limited review base (1) — ratings can shift significantly with new feedback
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About Data Masking
How Data Masking works
Using the Data Masking App you would have the ability to: - Select the Object which may receive sensitive information in the email field - Add said Object into the Custom Label - Schedule a batch (From Apex Classes on the Home Page)
The batch will make sure to clear any and all information from the email fields of the selected Objects!
Key features
- 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
Category rankings
As of Jul 15, 2026- Data Cleansing#66of 129Top 52%
- Analytics#313of 900Top 35%
See 90-day rank history for each category
Track daily rank changes, category shifts, and position volatility.
Competitors & alternatives
Data Masking doesn't have curated competitor matchups yet. Other tracked data cleansing apps on Salesforce:
Frequently asked questions
What is Data Masking?
Data Masking is an app for Salesforce. It currently holds a 5.0-star rating from 1 merchant review, and it has been listed on the marketplace since 2021. It is listed under the Data Cleansing category on AppRanks, where you can see its current category position, review-velocity trend, and how it compares against the top alternatives in the same space. Developed by iOPEX Technologies Inc.
Who uses Data Masking?
Data Masking is actively installed across Salesforce stores tracked by AppRanks. Its review base is still building, which usually maps to early-stage merchants and stores piloting a new workflow. It is part of the Data Cleansing category on Salesforce.
Where does Data Masking rank on Salesforce?
Data Masking currently sits at position #66 in the Data Cleansing category on Salesforce. That places it in the top 51% of 129 apps tracked in the same category. Category positions are read from the live marketplace ranking and refresh on each scrape, so the number you see here reflects the most recent crawl rather than a long-running average.
What does Data Masking integrate with?
Data Masking lists 2 integrations on its Salesforce marketplace page. The most prominent are Sales Cloud, Service Cloud. Integration data is mirrored from the live Salesforce listing on each refresh, so the set above tracks whatever the developer has currently published — it does not reflect deeper compatibility AppRanks has not been able to verify from public data.