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Cybersecurity · head to head

Baffle vs Skyflow

Baffle logo

Baffle

Cybersecurity

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

From
On request
Rated
-
Full reviewWebsite
Skyflow logo

Skyflow

APIs

Data privacy vault that holds sensitive records outside your own systems

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.; Skyflow reported contracts near 195,000 US dollars a year with a platform fee before usage put this out of reach of early stage companies, which are precisely the ones whose architecture is still cheap to change.
  • They diverge on capability: Baffle covers Transparent proxy deployment, Skyflow covers Tokenised storage.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Baffle and Skyflow actually diverge.

Attributes where Baffle and Skyflow differ
AttributeBaffleSkyflow
PlatformsLinux, WebAPI, Web, Self-hosted
CategoryCybersecurityAPIs

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

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 Skyflow

  • Tokenised storage
  • Polymorphic encryption
  • Field level access policies
  • Data residency
  • Secure functions
  • PCI scope reduction
  • Detokenisation gateway
  • Audit trail

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 Skyflow
  • A company wanting to take a reporting database out of PCI scope by tokenising card fields before they landnot Skyflow
  • A healthcare organisation that must ensure database administrators and cloud operators cannot read patient identifiers in the tables they administernot Skyflow
  • 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 Skyflow

Skyflow

  • A fintech that wants card and bank account data out of its own infrastructure so its application servers leave PCI DSS assessment scopenot Baffle
  • A company entering India or the EU with data localisation obligations that would otherwise require standing up regional databases and operationsnot Baffle
  • A health technology business that needs protected health information isolated from the analytics stack while still supporting aggregate reportingnot Baffle
  • An engineering team that wants support agents to see masked identifiers and payment services to see real ones, enforced centrally rather than in every servicenot 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.

Skyflow

  • Reported contracts near 195,000 US dollars a year with a platform fee before usage put this out of reach of early stage companies, which are precisely the ones whose architecture is still cheap to change.
  • Every read of a protected field becomes a network call to a third party, so latency and an external availability dependency enter paths that were previously local database reads, and outage planning has to account for a vendor you do not control.
  • Analytics and joins on vaulted data are constrained; work that was a simple SQL join now happens through secure functions or on tokens, and data teams routinely discover this after the engineering team has committed.
  • Unwinding the vault later is a rewrite rather than a migration because tokens are threaded through every service, so the switching cost climbs steadily and the negotiating position at renewal weakens with each release.
  • Scope reduction is an architectural claim your own assessor must accept, so the audit saving is real only if the implementation genuinely keeps sensitive values off your systems, and partial implementations that leave a cache or a log line in place deliver the cost without the benefit.

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

Skyflow

On request
  • Skyflow Data Privacy Vault$undefined/year
    • Platform fee plus usage by data subject count
    • Priced additionally per data residency region
    • PCI Level 1, SOC 2 Type 2, ISO 27001 and HIPAA coverage

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 Skyflow if

  • You need tokenised storage.
  • You work on API, Web, Self-hosted.
  • You also want polymorphic encryption.
Skyflow review

Questions people ask

Is Baffle or Skyflow better?
Neither clearly leads. Baffle starts at On request and Skyflow at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Baffle or Skyflow?
Baffle starts at On request and Skyflow at On request.
Does Baffle or Skyflow run on more platforms?
Baffle runs on Linux, Web. Skyflow runs on API, Web, Self-hosted.
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 Skyflow is typically brought in for.
What can Baffle do that Skyflow cannot?
Baffle covers Transparent proxy deployment, Field-level encryption, Tokenisation, Format-preserving de-identification. Skyflow covers Tokenised storage, Polymorphic encryption, Field level access policies, Data residency.

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.

Skyflow: Does Skyflow really take my systems out of PCI scope?

It can, if card data never touches your infrastructure and the detokenisation happens at the boundary. Your QSA has to agree the design, so validate the architecture with your assessor before signing.

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.

Skyflow: What does it cost?

Nothing is published. Reported annual contracts sit around 195,000 US dollars, built from a platform fee plus usage by data subject count and additional charges per data residency region.

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.

Skyflow: How does it help with data localisation?

Records can be pinned to a specified region, so an Indian or EU residency requirement is met by the vault rather than by you running regional databases and operations teams.

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.

Skyflow: Can I still run analytics on vaulted data?

Partly. Aggregates and comparisons are supported through polymorphic encryption and secure functions, but arbitrary joins against other datasets are harder than they were, and this is the most common late surprise.

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