Comparisons
Philter Comparisons
How Philter stacks up against AWS Comprehend, Google Cloud DLP, Microsoft Presidio, Private AI, and Skyflow. Honest trade-offs from the people who built it.
Which alternative are you evaluating?
Most teams come to Philter from one of a handful of directions. Pick the one that matches your current shortlist; each page is honest about where the alternative wins.
Currently evaluating
AWS Comprehend PII
Managed AWS API, fast to integrate, locked to a multi-tenant data path, per-character billing that gets expensive at scale.
Switch when: volume is climbing, cost is becoming a board metric, or your security team needs the data path inside your perimeter.
Read Philter vs Comprehend →Currently evaluating
Google Cloud DLP
GCP's managed PII service, deeply tied to GCP, bills per byte plus per-transform multipliers, costs aggregate quickly across Dataflow + DLP.
Switch when: the full-pipeline TCO surprises procurement, or the workload needs to live somewhere other than GCP.
Read Philter vs DLP →Currently evaluating
Microsoft Presidio
Open source PII redaction from Microsoft. Strong in Python, recognizer-focused, you assemble the runtime, support is community-only.
Switch when: your stack is JVM-first or polyglot, you want a turnkey deployment, or you need a commercial-support path alongside the open source.
Read Philter vs Presidio →Currently evaluating
Private AI
Commercial, closed-source PII API with broad multilingual and multi-modal (PDF, image, audio) coverage. Runs as a container or in their cloud.
Switch when: open source and an auditable detection path are required, you want policy depth and the surrounding toolkit, or usage-based pricing stops fitting the volume.
Read Philter vs Private AI →Currently evaluating
Skyflow
A managed data privacy vault: it stores sensitive values and returns tokens rather than redacting text in your pipeline. A different category from a redactor.
Switch when: the workload was really redaction (PII in logs, analytics, or LLM prompts you never retrieve), or you need self-hosted, open source de-identification instead of a managed vault.
Read Philter vs Skyflow →
At a glance
A look at how Philter compares with other PII redaction tools and services.
| Dimension | Philter Product page → | AWS Comprehend Full comparison → | Google Cloud DLP Full comparison → | Presidio Full comparison → |
|---|---|---|---|---|
| Deployment model | Self-hosted in your VPC (any cloud, on-prem, air-gapped) | Managed SaaS, AWS only | Managed SaaS, GCP only | Self-hosted, you assemble the runtime |
| Pricing model | Per instance-hour ($0.49/hr on AWS Marketplace) or open source | Per 100 characters | Per GB processed + per transform | Free (open source); you pay for the runtime |
| License | Apache 2.0 · open source | Commercial (AWS) | Commercial (Google) | MIT · open source |
| Data path | Stays inside your account | Through AWS's multi-tenant service | Through Google's multi-tenant service | Stays inside your account |
| Domain models | General, Healthcare, COVID-19 lenses | General PII entities | General infoTypes (some industry packs) | General recognizers; bring your own |
| Commercial support | Available (marketplace + Engaged tier) | AWS support | Google support | Community only |
Accurate as of May 2026. Vendor pricing, features, and product names change frequently, so please verify the current state on each vendor's site before making procurement decisions, and let us know if anything here has drifted.
What every comparison has in common
Each per-tool page is written to be useful even if you end up picking the other tool. The shared frame:
- The deployment shape decides the comparison. If sending data to a managed API is a non-starter for your security team, the conversation is between Philter and Presidio. If it's fine, Comprehend or DLP enter the picture and the question becomes cost and accuracy.
- The break-even point is real and quantifiable. Per-volume pricing wins at low scale and loses at high scale. The TCO walkthrough shows the crossover point with worked numbers.
- Domain accuracy moves more than people expect. Healthcare entities, financial-account patterns, and contact-center transcript quirks aren't in any vendor's "general PII" set. The tool that handles your domain best is usually the one with a relevant policy or lens.
- Honest trade-offs. Comprehend is faster to start on AWS. DLP is cheaper at very low volumes. Presidio is more flexible for Python-native teams who want to assemble it themselves. Private AI brings broader language and multi-modal coverage out of the box. Skyflow is the right tool when you genuinely need to retain and retrieve values rather than remove them. Each comparison page calls out where Philter is the wrong answer.
Not sure which comparison to read?
Tell us what you're evaluating and we'll point you at the most relevant page (or have a 30-min conversation if a written comparison isn't the right artifact). No sales motion.