Cybersecurity · head to head
Baffle vs GitLab CI/CD

Baffle
Cybersecurity
Transparent proxy that encrypts, tokenises and masks database fields without application code changes
- From
- On request
- Free plan
- No

GitLab CI/CD
Developer Tools
Automatically build, test, deploy, and monitor your applications with GitLab CI/CD
- From
- Free
- Free plan
- Yes
The short version
- Only GitLab CI/CD 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.; GitLab CI/CD compute minute quotas for Premium and Ultimate tiers not disclosed in documentation
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Baffle and GitLab CI/CD actually diverge.
| Attribute | Baffle | GitLab CI/CD |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | quote | freemium |
| Free tier | No | Yes |
| Platforms | Linux, Web | Web |
| Category | Cybersecurity | Developer Tools |
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 GitLab CI/CD
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 GitLab CI/CD
- A company wanting to take a reporting database out of PCI scope by tokenising card fields before they landnot GitLab CI/CD
- A healthcare organisation that must ensure database administrators and cloud operators cannot read patient identifiers in the tables they administernot GitLab CI/CD
- 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 GitLab CI/CD
GitLab CI/CD
- Reducing open source project infrastructure costs with public project discountsnot Baffle
- Enforcing monthly CI/CD spending limits and quota notificationsnot Baffle
- Allocating compute minutes to open source contributors affordablynot Baffle
- Forecasting CI/CD spending patterns across multiple projectsnot Baffle
- Providing private runners for cost control without owning infrastructurenot 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.
GitLab CI/CD
- Compute minute quotas for Premium and Ultimate tiers not disclosed in documentation
- Additional compute minutes beyond quota incur charges; exact pricing not specified
Pricing, plan by plan
Baffle
On request- Baffle Data Protection Services$undefined/year
- Quoted by protected data stores and deployment scale
- Self-managed and cloud marketplace deployment options
- Annual subscription
GitLab CI/CD
Free- FreeFree
- 400 compute minutes per month for free tier namespaces
- Linux x86-64 runners at 1x cost factor
- Premium$null/tiered
- Higher monthly compute minute quotas than free tier
- Additional compute minutes available for purchase
- Ultimate$null/tiered
- Highest monthly compute minute allocations
- Additional compute minutes available for purchase
Which should you pick?
Choose Baffle if
- You need transparent proxy deployment.
- You work on Linux, Web.
- You also want field-level encryption.
Questions people ask
- Is Baffle or GitLab CI/CD better?
- Neither clearly leads. Baffle starts at On request and GitLab CI/CD at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Baffle or GitLab CI/CD?
- GitLab CI/CD has a free tier; the other does not. Paid plans start at On request for Baffle and Free for GitLab CI/CD.
- Does Baffle or GitLab CI/CD run on more platforms?
- Baffle runs on Linux, Web. GitLab CI/CD runs on Web.
- Can I use GitLab CI/CD for free?
- Yes. GitLab CI/CD 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 GitLab CI/CD is typically brought in for.
- What can Baffle do that GitLab CI/CD 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.
GitLab CI/CD: How many GitLab CI compute minutes does the free tier include?
The free tier of GitLab CI includes 400 compute minutes per month for free tier namespaces on GitLab.com.
SourceBaffle: 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.
GitLab CI/CD: What is the cost factor for different GitLab CI runner types?
Linux x86-64 small runners cost 1x; medium runners cost 2x; large runners cost 3x. macOS and Windows runners have cost factors of 6-12x and are in beta status.
SourceBaffle: 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.
GitLab CI/CD: Do public open-source projects get discounts on GitLab CI compute minutes?
Public open-source projects receive a 0.5x discount on compute minutes. Public forks of GitLab open-source projects receive a 0.008x discount.
SourceBaffle: 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.
Related pages
More on GitLab CI/CD
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