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Cybersecurity · head to head

Baffle vs CKAN

Baffle logo

Baffle

Cybersecurity

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

From
On request
Free plan
No
CKAN logo

CKAN

Government

Open Source Data Portal Platform

From
Free
Free plan
Yes

The short version

  • Only CKAN has a free tier, so it costs nothing to try first.
  • 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.; CKAN the package install path requires Ubuntu 20.04 or 22.04 64-bit specifically; other operating systems must use the source install
  • They diverge on capability: Baffle covers Transparent proxy deployment, CKAN covers Dataset Management.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Baffle and CKAN actually diverge.

Attributes where Baffle and CKAN differ
AttributeBaffleCKAN
Starting priceOn requestFree
Pricing modelquotefree
Free tierNoYes
PlatformsLinux, WebWeb
CategoryCybersecurityGovernment
FoundedUnknown2006

Identical on both: 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 CKAN

  • Dataset Management
  • Data Harvesting
  • API Access
  • Visualization
  • Extensions
  • DataPusher
  • Harvester
  • Third-party Tools

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

CKAN

  • Publishing open government datasets in a searchable public data portalnot Baffle
  • Self-hosting a data catalogue with harvesting and an APInot 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.

CKAN

  • The package install path requires Ubuntu 20.04 or 22.04 64-bit specifically; other operating systems must use the source install
  • Only Solr 9 and Solr 8 are supported, and from CKAN 2.10 they are the only Solr versions supported at all
  • A working deployment requires PostgreSQL, Solr, Redis, nginx, supervisor and uWSGI to be installed and maintained separately
  • Python 3.10 or later is required

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

CKAN

Free
  • Open SourceFree
    • Data Management
    • API Access
    • Visualization

Which should you pick?

Choose Baffle if

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

Choose CKAN if

  • You need dataset management.
  • You want to start without paying.
  • You also want data harvesting.

Questions people ask

Is Baffle or CKAN better?
Neither clearly leads. Baffle starts at On request and CKAN at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Baffle or CKAN?
CKAN has a free tier; the other does not. Paid plans start at On request for Baffle and Free for CKAN.
Does Baffle or CKAN run on more platforms?
Baffle runs on Linux, Web. CKAN runs on Web.
Can I use CKAN for free?
Yes. CKAN has a free tier, so you can try it without paying. Baffle starts at On request.
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 CKAN is typically brought in for.
What can Baffle do that CKAN cannot?
Baffle covers Transparent proxy deployment, Field-level encryption, Tokenisation, Format-preserving de-identification. CKAN covers Dataset Management, Data Harvesting, API Access, Visualization.

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.

CKAN: Is CKAN open-source and what license is it available under?

Yes, CKAN is an open-source data management system built on Python and available on GitHub. The license terms are available on their GitHub repository.

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.

CKAN: Does CKAN offer commercial support for organizations?

Yes, CKAN offers commercial support through certified providers including Link Digital and Datopian. Support includes advisory services, application development, integration, managed hosting, and web development.

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.

CKAN: Who is responsible for hosting costs when running CKAN?

Organizations deploying CKAN are responsible for their own hosting infrastructure. Commercial providers like Datopian and Link Digital offer managed hosting services if organizations prefer not to self-host.

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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