DataVeil permanently masks sensitive data in SQL databases by replacing it with realistic fictitious values for testing, development, training, analytics, and support.
Best Data De-Identification Tools in 2026
DataVeil leads this chart of 12 (7.5/10, free plan). YData SDK is next (6.9/10, free plan), and Tonic.ai is the next highest-placed with a free plan (6.8/10). Data de-identification tools help remove or mask personally identifiable information, replace values with tokens, and create synthetic data for safer development, testing, or sharing. Compare support for PII discovery, tokenization, synthetic data, and structured or unstructured data. Check deployment and device access before choosing. The listed platform notes include Linux, self-hosted installations, APIs, web,…
YData SDK is a Python toolkit for data profiling, data improvement and synthetic data generation.
Tonic.ai is a synthetic data platform for software development, testing, and AI model training.
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MOSTLY AI
MOSTLY AI is a data intelligence platform for accessing production data and generating synthetic, mock and simulated data, with tools for data analysis.
Free planWebAPILinuxSelf-hosted6.4Free plan - 5

ARX Data Anonymization Tool
ARX Data Anonymization Tool is open-source software for anonymizing sensitive personal data and evaluating privacy risk and data utility.
Free planAPILinuxmacOSSelf-hosted6.3Free plan - 6

Synthesized
Synthesized creates governed test data scenarios for enterprise software releases, SAP transformations, and AI-agent validation.
WebAPILinuxSelf-hosted5.6 - 7
K2view Data Masking
K2view Data Masking helps enterprises create masked data for testing, analytics, B2B sharing, and AI workloads.
WebAPISelf-hosted5.4 - 8
IBM Optim Data Privacy
WebAPILinuxSelf-hosted4.9 - 9
IRI FieldShield
LinuxWindows4.9 - 10
Informatica Test Data Management
WebAPISelf-hosted4.8 - 11
Anonos Data Embassy
APISelf-hosted4.3 - 124.3
Choosing well
Match deployment to your setup
Compare hosted web access, APIs, self-hosted deployment, and desktop platforms. Linux, Windows, and macOS appear in the platform notes, alongside web and API options.
If data must remain in your environment, look for a self-hosted option and confirm its operating requirements.
Check the privacy functions
PII discovery can help locate sensitive fields before masking. Tokenization replaces values while preserving a usable reference, so compare how these functions fit your workflow.
Synthetic data generation can create non-production datasets. Check whether the tool handles structured data, unstructured data, or both.
Compare free access and paid terms
A free plan can help you assess a tool before committing. Pricing notes also include paid products, freemium plans, and a free trial for one listed service.
When a price is shown, compare the starting amount and billing period. For pricing on request, ask about the deployment and features you need.
Plan integrations
API access can connect de-identification to applications, pipelines, or test-data workflows. Confirm the API coverage and deployment model before building an integration.
Questions people ask
Do these tools have Android apps?
Android is not shown in the platform facts. Check with the vendor before planning a phone or tablet workflow.
Which platforms are listed?
The platform notes include Linux, self-hosted, API, web, Windows, and macOS.
What privacy features should I compare?
Compare PII discovery, tokenization, synthetic data generation, and support for structured and unstructured data.
Can I try a tool for free?
Items in this category offer free plans, and a free trial is also listed. Check the individual pricing terms.
What does pricing on request mean?
The vendor does not publish a price in these notes. Contact the vendor with your deployment and feature requirements.

