Cybersecurity · head to head
Baffle vs Depot

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

Depot
Developer Tools
Cloud-based builds and CI runs 55x faster with less cost
- From
- Free
- Free plan
- Yes
The short version
- Only Depot 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.; Depot developer plan minute limits may be insufficient for active development
- They diverge on capability: Baffle covers Transparent proxy deployment, Depot covers Depot CI.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Baffle and Depot actually diverge.
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 Depot
- Depot CI
- Container builds
- GitHub Actions runners
- Distributed caching
- Build API
- Depot Registry
- Cross-platform builds
- SSH debugging
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 Depot
- A company wanting to take a reporting database out of PCI scope by tokenising card fields before they landnot Depot
- A healthcare organisation that must ensure database administrators and cloud operators cannot read patient identifiers in the tables they administernot Depot
- 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 Depot
Depot
- Accelerating Docker builds for container-based developmentnot Baffle
- Replacing GitHub Actions runners with faster infrastructurenot Baffle
- Distributing cache across Monorepo buildsnot Baffle
- Debugging failed CI builds interactively with SSHnot 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.
Depot
- Developer plan minute limits may be insufficient for active development
- Startup plan at $200/mo is expensive for smaller teams
- Business plan requires custom pricing consultation
- macOS M2 runners not available on Developer plan
Pricing, plan by plan
Baffle
On request- Baffle Data Protection Services$undefined/year
- Quoted by protected data stores and deployment scale
- Self-managed and cloud marketplace deployment options
- Annual subscription
Depot
Free- Developer$20/month
- 1 user
- 500 Docker build minutes per month
- 2,000 Depot CI minutes per month
- Startup$200/month
- Unlimited users
- 5,000 Docker build minutes per month
- 20,000 Depot CI minutes per month
- Business$undefined/custom
- Custom pricing
- Unlimited users
- Custom monthly compute
Which should you pick?
Choose Baffle if
- You need transparent proxy deployment.
- You work on Linux, Web.
- You also want field-level encryption.
Choose Depot if
- You need depot ci.
- You want to start without paying.
- You work on Cloud, GitHub, CLI.
- You also want container builds.
Questions people ask
- Is Baffle or Depot better?
- Neither clearly leads. Baffle starts at On request and Depot at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Baffle or Depot?
- Depot has a free tier; the other does not. Paid plans start at On request for Baffle and Free for Depot.
- Does Baffle or Depot run on more platforms?
- Baffle runs on Linux, Web. Depot runs on Cloud, GitHub, CLI.
- Can I use Depot for free?
- Yes. Depot 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 Depot is typically brought in for.
- What can Baffle do that Depot cannot?
- Baffle covers Transparent proxy deployment, Field-level encryption, Tokenisation, Format-preserving de-identification. Depot covers Depot CI, Container builds, GitHub Actions runners, Distributed caching.
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.
Depot: How much faster are Depot runners compared to GitHub Actions?
Depot runners offer 30% faster CPUs and 10x faster networking than standard GitHub-hosted runners, enabling builds to complete significantly faster.
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.
Depot: What is included in the Developer plan?
Developer plan ($20/month) includes 500 Docker build minutes, 2,000 Depot CI minutes, 2,000 GitHub Actions minutes, 25 GB storage, unlimited concurrency, and community support.
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.
Depot: Can I use Depot with my own AWS account?
Yes, Depot Managed allows deployment within customer AWS accounts. This is available to interested customers; contact sales for details.
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.
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- Depot vs Garden
- Depot vs Ansible
- Depot vs ConfigCat
- Depot vs Avo
- Depot vs Azure DevOps
- Depot vs Backstage
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