Softwr

Cybersecurity · head to head

Baffle vs Sourcegraph

Baffle logo

Baffle

Cybersecurity

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

From
On request
Free plan
No
Full reviewWebsite
Sourcegraph logo

Sourcegraph

Developer Tools

Code search and intelligence platform for large codebases with Cody AI assistant

From
$16000/year
Free plan
No
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.; Sourcegraph enterprise pricing starting at $16k annually creates significant barrier for small teams
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Baffle and Sourcegraph actually diverge.

Attributes where Baffle and Sourcegraph differ
AttributeBaffleSourcegraph
Starting priceOn request$16000/year
Pricing modelquotesubscription
PlatformsLinux, WebCloud, Self-hosted
CategoryCybersecurityDeveloper Tools

Identical on both: 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 Sourcegraph

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

Sourcegraph

  • Large-scale code migrations across hundreds of repositoriesnot Baffle
  • Enterprise governance and code ownership trackingnot Baffle
  • AI-assisted bug hunting and security pattern detectionnot Baffle
  • Onboarding engineers into large unfamiliar codebasesnot Baffle
  • Regulatory compliance and code audit trailsnot 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.

Sourcegraph

  • Enterprise pricing starting at $16k annually creates significant barrier for small teams
  • No free tier or standard plan published; all options require custom sales engagement
  • Complex enterprise-only positioning limits adoption compared to GitHub Copilot's pervasiveness
  • Requires indexing entire codebase; not suitable for small or ephemeral projects

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

Sourcegraph

$16000/year
  • Enterprise$16000/year
    • Scales with team size
    • Credits for AI features per user
    • Deep Search

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 Sourcegraph if

  • You work on Cloud, Self-hosted.
Sourcegraph review

Questions people ask

Is Baffle or Sourcegraph better?
Neither clearly leads. Baffle starts at On request and Sourcegraph at $16000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Baffle or Sourcegraph?
Baffle starts at On request and Sourcegraph at $16000/year.
Does Baffle or Sourcegraph run on more platforms?
Baffle runs on Linux, Web. Sourcegraph runs on Cloud, 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 Sourcegraph is typically brought in for.
What can Baffle do that Sourcegraph 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.

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.

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.

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.

Share

Related pages

More on Baffle

More on Sourcegraph

Keep looking

Other head to heads