Feature comparison
Competitor data from Google Cloud DLP (Sensitive Data Protection) public documentation, 2026 — verify before relying.
| Feature | anonym.plus | Google Cloud DLP |
|---|---|---|
| Data leaves your device | Never (100% on-device) | Yes — every request is sent to Google's cloud for inspection |
| Deployment | Native desktop app (Windows, macOS, Linux) | Cloud API — called from your app or the GCP console |
| Offline / air-gap | Yes — fully functional with Wi-Fi off, no network required | No — requires a live connection to Google's endpoints for every scan |
| Entity types | 340+ PII entity types detected locally | 150+ built-in infoType detectors |
| Encryption | Local AES-256-GCM; offline vault for keys, never uploaded | Format-preserving / deterministic encryption via Cloud KMS (data still transits Google's servers for inspection first) |
| Account / login required | No account for core use — internet only needed once, for license activation | Yes — active GCP account, billing, and IAM configuration required before the first scan |
| Pricing model | One-time license (Free / €149 / €399 / €499) — no subscription, no metering | Usage-metered — billed per GB/unit scanned; cost scales with data volume |
| Setup / DevOps | None — bundled installer (Microsoft Presidio + spaCy built in), works out of the box | Requires GCP project setup, API enablement, IAM roles, and application-side integration effort |
| Compliance angle | Independent penetration test (March 2026) confirmed no document data egress — nothing to disclose because nothing is transmitted | Strong platform certifications (SOC 1/2/3, ISO 27001, HIPAA BAA) — but your data still resides on Google's infrastructure as a subprocessor |
Google Cloud DLP strengths
- One of the most comprehensive cloud DLP APIs, with 150+ built-in infoType detectors maintained and updated by Google.
- Native integration with BigQuery, Cloud Storage, and Datastore — can scan data already living inside GCP at scale.
- Elastic, petabyte-scale batch scanning for organizations that already run their data warehouse on Google Cloud.
- Format-preserving and deterministic encryption via Cloud KMS for structured, tokenizable fields.
- Enterprise-grade platform certifications: SOC 1/2/3, ISO 27001, HIPAA BAA availability, FedRAMP authorization.
- Mature REST/gRPC API with client libraries across most major programming languages.
Google Cloud DLP limitations
- Every inspection request means sending the underlying data to Google's cloud — there is no offline or air-gapped mode.
- No standalone desktop tool: you must build or wire up an integration against the API before you can anonymize a single document.
- Requires a funded GCP account, billing setup, and IAM configuration before first use.
- Usage-metered pricing means cost is not fixed — it grows with document volume and re-scans.
- Processing sensitive data on a third-party cloud introduces a subprocessor relationship that GDPR-sensitive organizations must document and justify.
- Best suited to teams with cloud engineering resources; not a fit for a single user who just needs a document redacted.
Why choose anonym.plus
- Your data never leaves your device. There is nothing to breach, no data center, no jurisdiction to trust — because nothing is ever transmitted.
- Works with no internet connection. Disconnect the network and anonym.plus keeps running; Google Cloud DLP cannot function without connectivity to Google's endpoints.
- 340+ PII entity types detected locally, built on Microsoft Presidio and spaCy — bundled, with no server-side setup or DevOps required.
- Local AES-256-GCM encryption with an offline key vault — keys and documents both stay on your machine.
- One-time license, no subscription. Internet is only needed once, for initial license activation — not for every document you process.
- Independently verified. A penetration test (March 2026) confirmed zero outbound network calls during document processing.