anonymize.solutions vs Google Cloud DLP

TL;DR

anonymize.solutions provides vendor-independent PII detection — hosted in Germany with anonym.legal, or on your own machines with anonym.plus — with no third-party model provider in the processing path. Google Cloud DLP is deeply integrated with GCP but requires data to pass through Google infrastructure, creates vendor lock-in, and bills per gigabyte of data processed.

Choose anonymize.solutions for data sovereignty, vendor independence, and operational simplicity. Choose Google Cloud DLP if you are already all-in on GCP and accept the trade-offs.

FEATURE COMPARISON

Side-by-Side Comparison

Twenty key dimensions where the platforms diverge. Green highlights indicate a clear advantage.

Dimension	anonymize.solutions	Google Cloud DLP
Data Residency	Documents: Hetzner, Germany	GCP regions (US default, EU optional)
Privacy Architecture	Analysis in Germany, text processed in memory	Google processes and inspects all data
Vendor Lock-in	No cloud-platform account — REST API from anywhere, or local with anonym.plus	GCP dependency (project, billing, IAM)
Detection Approach	Hybrid deterministic (NLP + Pattern)	Built-in InfoType detectors plus custom dictionary and regex detectors
Entity Types	267	See Google’s infoType reference
Languages	48	50+
Self-Hosted Option	Local desktop app (anonym.plus); anonym.legal is hosted in Germany	No — GCP only
MCP Server	Yes — Claude, Cursor, VS Code	No
Office Add-in	Yes — Word, Excel, PowerPoint	No
Chrome Extension	Yes — AI chat protection	No
Setup Complexity	Hours — API key and go	GCP project, billing, IAM service account
Pricing Model	Tokens per request (base + text length + operations + entities found)	Per GB inspected or transformed
Minimum Commitment	None	GCP account required
Custom InfoTypes	Yes	Yes
De-identification Methods	5 (Replace, Redact, Mask, Hash, Encrypt)	12 transformation types (incl. Redact, Replace, Mask, Crypto-hash, deterministic and format-preserving encryption, Bucketing, Date shifting)
Batch Processing	Yes	Yes
Audit Trail	Optional history (stored encrypted)	Cloud Logging (separate service)
Support	Contact form and email	GCP support tiers (paid)
Open Source Foundation	Presidio-based (Microsoft, open source)	Proprietary, closed source
GDPR Compliance	Documents processed in Germany	Shared responsibility model

Note: Competitor information based on the vendors’ public documentation, compiled in early 2026 and not re-checked since. Entity counts, language support, and feature details may have changed since publication.

INDEPENDENCE

Vendor Independence

No GCP dependency, no IAM configuration, no billing surprises. anonym.legal is hosted in Germany and called over a standard REST API from any cloud or on-premises system; anonym.plus runs on your own machines.

No Cloud Lock-in

Call anonym.legal’s REST API from AWS, Azure, GCP or your own servers, or process locally with anonym.plus. No cloud-platform account required.

Pricing in tokens

Token-based pricing: each request costs a base amount plus amounts for text length, operations and entities found. Each tier includes a fixed number of tokens per 30-day cycle; there is no GCP billing account to manage.

Simple Integration

Standard REST API with JWT authentication. No service accounts, no IAM roles, no VPC peering. Works from any language, any platform, any network.

Google Cloud DLP requires

A GCP project, a billing account, API enablement, and IAM service accounts with appropriate roles. For production hardening, VPC Service Controls, Cloud KMS for encryption keys, and Cloud Logging for audit trails are optional additions, each a separate GCP service with its own pricing, documentation, and configuration requirements.

PRIVACY

Privacy Architecture

The fundamental difference: the analysis runs in Germany under a signed processing agreement. With Google Cloud DLP, the content you send is processed on Google’s infrastructure. For regulated industries — healthcare, legal, finance — this distinction is critical.

anonymize.solutions

Keys for stored patterns derived on your device — the keys that encrypt your stored custom patterns are derived on your device with Argon2id; the reversible-encryption operator sends its key to the server
No content in operational logs — text is processed in memory; it is stored, encrypted, only if you turn on history, or as a token mapping for reversible anonymization
No third-party data sharing — your data never leaves the processing pipeline
Local option — with anonym.plus the text never leaves your machine
Document processing in Germany — anonym.legal runs on Hetzner infrastructure in Germany; the optional AI-assisted rule creation can use a provider outside the EU

Google Cloud DLP

Google processes all data — full content inspection on Google servers
Cloud Logging integration — inspection results stored in GCP logs
Google manages encryption keys — unless you configure Cloud KMS (additional cost)
Data may traverse US infrastructure — unless explicitly region-locked
Shared responsibility model — you are responsible for GCP configuration

OPERATIONS

Operational Simplicity

Our setup: get an API key and start detecting. Google Cloud DLP: create a GCP project, enable billing and the DLP API, configure IAM roles and set up service accounts; VPC, Cloud KMS and Cloud Logging integration are optional extras for production.

anonymize.solutions Setup

Create account
Generate API key
Make first API call

Time: ~15 minutes

Google Cloud DLP Setup

Create GCP project
Enable DLP API
Configure IAM roles
Create service accounts
Optional: VPC Service Controls
Set up billing
Optional: Cloud Logging
Make first API call

Time: depends on your GCP setup

Ongoing Management

anonymize.solutions: API key rotation, usage dashboard
Google DLP: IAM audits, billing monitoring, quota management, VPC maintenance, log retention policies

Less infrastructure means less surface area for misconfiguration and fewer operational hours spent on maintenance.

MIGRATION

Migration Path from Google DLP

Switching from Google Cloud DLP is straightforward. Both platforms use JSON-based REST APIs, so the integration points are similar.

Evaluate

Start on the free tier and run your test data through both platforms in parallel. Compare detection results, accuracy, and response times side by side. Identify any custom InfoTypes that need migration.

Map API Calls

Map your existing DLP API calls to our REST API. Entity types, confidence scores, and de-identification configurations have counterparts on both sides but have to be mapped. Custom InfoTypes map to our custom entity definitions.

Switch

Update your API endpoint and authentication. Remove GCP dependencies (service accounts, IAM roles, VPC configuration). Your pipeline is now vendor-independent, simpler to maintain, and running on servers in Germany under a signed processing agreement.

Try Our Platforms

See anonymize.solutions in Action

Try our platforms live to compare with Google DLP. Both free tiers need a free account.

Does this apply to your organisation?

The guide is general; your obligation is not. Tell us the sector and where the data is allowed to go, and we will tell you what applies.

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