Head-to-head · Data De-Identification Tools
IRI FieldShield vs Synthesized
IRI FieldShield leads on 0 checks, Synthesized on 1, and 0 are even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreIRI FieldShield · 8.8/10
- Free planonly Synthesized
IRI FieldShield scores higher on our rubric for data de-identification tools: 8.8 against 8.1 out of 10; our editors rank them #2 and #5.
Synthesized offers free plan; IRI FieldShield doesn't.
IRI FieldShield is the better fit for mid-market and enterprise data protection teams. Synthesized is the better fit for teams needing masked, referentially intact test data.
- IRI FieldShield fits best
Mid-market and enterprise data protection teams
- Synthesized fits best
Teams needing masked, referentially intact test data
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Side by side
| Feature | IRI FieldShield 8.8/10 Visit ↗ | Synthesized 8.1/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 8.1 |
| Ranking | #2 in Data De-Identification Tools | #5 in Data De-Identification Tools |
| Best for | Mid-market and enterprise data protection teams | Teams needing masked, referentially intact test data |
| Pricing model | Paid | Free plan + paid |
| Starting price | Pricing on request | Free plan |
| Free plan | — | ✓ (best) |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted, Desktop | Cloud, Self-hosted |
| Platforms | Windows, Linux | Web, Linux |
| Support | Email, Phone, Tickets, Docs | Email, Community, Docs |
| Compliance | GDPR, HIPAA, PCI DSS, SOC 2 | GDPR, HIPAA |
| Integrations | 14 integrations | 12 integrations |
| Built for | Mid-market, Enterprise | Mid-market, Enterprise |
| Features IRI FieldShield 0/6 · Synthesized 0/6 | ||
| PII discovery | Not checked yet | Not checked yet |
| Tokenization | Not checked yet | Not checked yet |
| Synthetic data generation | Not checked yet | Not checked yet |
| Structured data support | Not checked yet | Not checked yet |
| Unstructured data support | Not checked yet | Not checked yet |
| API access | Not checked yet | Not checked yet |
| Specs | ||
| Deployment | Hybrid | Hybrid |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | IRI FieldShield discovers, classifies, and protects sensitive data in relational databases, flat files, and other structured or semi-structured sources. It is aimed at data architects, DBAs, developers, and compliance teams handling PII,… Read the review → |
Synthesized prepares database test data for software engineering, QA, database, data engineering, and DevOps teams. It generates synthetic data from schemas, masks sensitive production data with realistic replacements, and subsets… Read the review → |
Strengths and trade-offs
IRI FieldShield — where it wins
- Combines discovery, classification, risk scoring, masking, and audit trails
- Offers encryption, hashing, redaction, pseudonymization, and tokenization
- Supports deterministic masking across data sources and multiple execution modes
Where it doesn't
- No free plan; standalone perpetual licensing requires a quote
- Published first-copy pricing is in the low-five-figure range
- Not positioned for threat detection or activity monitoring
Synthesized — where it wins
- Masks sensitive data with realistic replacement values.
- Subsets databases while preserving referential integrity.
- Supports major databases, REST API, CLI, and YAML workflows.
Where it doesn't
- Focused on synthetic generation rather than multiple generation modes.
- Workflow execution and configuration may require technical familiarity.
- Premium and Enterprise licensing are handled through sales.
- IRI FieldShield8.8/10 · Pricing on request
A flexible masking toolkit for teams protecting sensitive data across sources.
Visit IRIFull verdict → - Synthesized8.1/10 · Free plan
Generates, masks, and subsets relational test data while preserving database structure.
Visit SynthesizedFull verdict →
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All data De-Identification tools comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





