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Cybersecurity · head to head

Baffle vs Drata

Baffle logo

Baffle

Cybersecurity

Transparent proxy that encrypts, tokenises and masks database fields without application code changes

From
On request
Rated
-
Full reviewWebsite
Drata logo

Drata

Cybersecurity

Agentic trust management with compliance automation.

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Baffle the proxy sits in the production data path, so it becomes a latency contributor and a failure domain, and any deployment needs load and failover testing that customers routinely underestimate.; Drata no published pricing for any tier; requires contacting sales team for quotes
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Baffle and Drata actually diverge.

Attributes where Baffle and Drata differ
AttributeBaffleDrata
Pricing modelquotesubscription
PlatformsLinux, WebWeb, API

Identical on both: starting price (On request), free tier (No), user rating (Not yet rated), category (Cybersecurity).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Baffle

  • Transparent proxy deployment
  • Field-level encryption
  • Tokenisation
  • Format-preserving de-identification
  • Dynamic data masking
  • Bring your own key
  • Analytics and pipeline support
  • AI pipeline protection

Only in Drata

Nothing recorded that Baffle does not also cover.

What people use each for

The jobs each tool is most often brought in to do.

Baffle

  • A bank with a legacy application it cannot safely refactor that has an audit finding requiring field-level encryption of account datanot Drata
  • A company wanting to take a reporting database out of PCI scope by tokenising card fields before they landnot Drata
  • A healthcare organisation that must ensure database administrators and cloud operators cannot read patient identifiers in the tables they administernot Drata
  • A team moving regulated data into a warehouse or an AI retrieval pipeline that needs identifiers de-identified in transit without rewriting the ingest jobsnot Drata

Drata

  • SaaS companies automating SOC 2 certification for enterprise salesnot Baffle
  • Organisations managing multi-framework compliance simultaneouslynot Baffle
  • Vendor management programmes requiring third-party security assessmentsnot Baffle
  • Enterprises implementing AI governance and monitoring AI systemsnot Baffle
  • Organisations seeking continuous compliance monitoring rather than point-in-time auditsnot Baffle

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Baffle

  • The proxy sits in the production data path, so it becomes a latency contributor and a failure domain, and any deployment needs load and failover testing that customers routinely underestimate.
  • What you can still do in SQL depends on the protection mode chosen, and stronger modes restrict comparisons, joins and aggregations on protected columns, which can quietly break existing reports and analytics.
  • Database and driver coverage is finite, so an organisation with an unusual engine, an old driver or heavy use of stored procedures may find its most important system is exactly the one not supported.
  • Pricing is unpublished and scales with protected data stores, which means an enterprise trying to protect a long tail of small databases pays disproportionately compared with protecting a handful of large ones.
  • Key management is your responsibility under bring your own key, and while that is the correct security posture, it moves a real operational burden and a genuine data-loss risk onto the customer.

Drata

  • No published pricing for any tier; requires contacting sales team for quotes
  • Solution tiers (Startup, Growth, Enterprise) are marketing categories with no corresponding published prices or feature differentiation
  • No transparency on cost per framework, per user, or based on organisational size
  • AI questionnaire automation claims 375+ hours saved annually but does not publish per-questionnaire costs or limits
  • Compared directly with Vanta by customers, but pricing opaque for cost-benefit analysis

Pricing, plan by plan

Baffle

On request
  • Baffle Data Protection Services$undefined/year
    • Quoted by protected data stores and deployment scale
    • Self-managed and cloud marketplace deployment options
    • Annual subscription

Drata

On request
  • Startup$undefined/variable
    • 'Launch Trust Fast' with automated evidence collection
    • SOC 2 and other framework support
    • Basic compliance automation
  • Growth$undefined/variable
    • 'Accelerate Trust Smoothly' as teams expand
    • Multi-framework compliance
    • Enhanced AI automation
  • Enterprise$undefined/variable
    • 'Command Trust at Scale' for complex needs
    • Advanced GRC capabilities
    • Dedicated support

Which should you pick?

Choose Baffle if

  • You need transparent proxy deployment.
  • You work on Linux, Web.
  • You also want field-level encryption.
Baffle review

Choose Drata if

  • You work on Web, API.
Drata review

Questions people ask

Is Baffle or Drata better?
Neither clearly leads. Baffle starts at On request and Drata at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Baffle or Drata?
Baffle starts at On request and Drata at On request.
Does Baffle or Drata run on more platforms?
Baffle runs on Linux, Web. Drata runs on Web, API.
What is Baffle best used for?
Baffle is most often used for a bank with a legacy application it cannot safely refactor that has an audit finding requiring field-level encryption of account data, a company wanting to take a reporting database out of pci scope by tokenising card fields before they land, a healthcare organisation that must ensure database administrators and cloud operators cannot read patient identifiers in the tables they administer, a team moving regulated data into a warehouse or an ai retrieval pipeline that needs identifiers de-identified in transit without rewriting the ingest jobs. Of those, a bank with a legacy application it cannot safely refactor that has an audit finding requiring field-level encryption of account data and a company wanting to take a reporting database out of pci scope by tokenising card fields before they land are not what Drata is typically brought in for.
What can Baffle do that Drata cannot?
Baffle covers Transparent proxy deployment, Field-level encryption, Tokenisation, Format-preserving de-identification.

Answered from the vendors’ own pages

Baffle: Do applications need code changes?

No. That is the central design choice. Baffle intercepts traffic as a proxy rather than requiring an SDK call at every read and write.

Drata: What compliance frameworks does Drata support?

Drata supports multiple frameworks including SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS and others, with multi-framework management capabilities.

Source
Baffle: Can you still query encrypted columns?

Partly, and it depends on the protection mode. Some modes preserve equality matching and format, stronger modes restrict what SQL operations remain possible, so this must be tested against your actual queries.

Drata: Does Drata automate questionnaires?

Yes. Drata's AI uses approved content to draft consistent responses, automating questionnaire completion and saving claimed 375+ hours per year.

Source
Baffle: Does it take systems out of PCI scope?

Tokenisation can reduce scope by ensuring card data never lands in the protected system, but scope reduction is an assessor judgement, not a product setting.

Drata: How many customers does Drata have?

Drata serves 8,500+ global customers ranging from startups to enterprises, with a 4.8/5.0 rating on G2.

Source
Baffle: Who holds the encryption keys?

You do, through your own key management service. Baffle supports bring your own key rather than holding customer keys itself.

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