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Cybersecurity · head to head

Baffle vs Steampipe

Baffle logo

Baffle

Cybersecurity

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

From
On request
Free plan
No
Steampipe logo

Steampipe

Developer Tools

Query cloud APIs, SaaS tools and code with SQL, with no extract or load step

From
Free
Free plan
Yes

The short version

  • Only Steampipe 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.; Steampipe aGPL-3.0 across all four engines is a procurement blocker at organisations that ban the licence outright, and the network clause reaches any internal portal or service that puts a web interface in front of it.
  • They diverge on capability: Baffle covers Transparent proxy deployment, Steampipe covers SQL over live APIs.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Baffle and Steampipe actually diverge.

Attributes where Baffle and Steampipe differ
AttributeBaffleSteampipe
Starting priceOn requestFree
Pricing modelquoteOpen source, with paid hosting through Turbot Pipes
Free tierNoYes
PlatformsLinux, WebmacOS, Linux, Windows, Docker, Web
CategoryCybersecurityDeveloper 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 Steampipe

  • SQL over live APIs
  • Wide plugin set
  • Embedded Postgres
  • Compliance benchmarks
  • Joins across providers
  • Hosted option

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

Steampipe

  • Security teams answering posture questions against live cloud accounts rather than a nightly exportnot Baffle
  • Compliance evidence gathering where the answer must reflect the account at the moment it is askednot Baffle
  • Inventory and drift questions spanning several cloud providers in one querynot Baffle
  • Engineers who would rather write SQL than learn each provider command line toolnot 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.

Steampipe

  • AGPL-3.0 across all four engines is a procurement blocker at organisations that ban the licence outright, and the network clause reaches any internal portal or service that puts a web interface in front of it.
  • Dashboards, benchmarks and mods were removed from Steampipe entirely at version 1.0 in October 2024 and now live in a separate product, so pre-2024 documentation and tutorials describe commands that no longer exist.
  • Live querying is bound by cloud provider API rate limits and keeps no persistent store by default, which is why a separate DuckDB-backed product exists for log volumes and why large accounts return slowly.
  • The company is fifteen people and bootstrapped, maintaining four command line tools plus a hosted service plus two further products, and the newer tools have thin community traction relative to that surface area.
  • Hosted tiers include only three users regardless of tier, with additional Enterprise users charged separately, so a team of thirty costs an order of magnitude more than the headline figure before compute and storage are counted.

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

Steampipe

Free
  • Steampipe CLIFree
    • AGPL-3.0
    • All plugins
    • No user or query limits
  • Pipes DeveloperFree
    • One user
    • 400 compute minutes
    • 3GB storage
  • Pipes Team$49/month
    • Three users
    • 2,000 compute minutes
    • 20GB storage
  • Pipes Enterprise$249/month
    • Three users
    • 10,000 compute minutes
    • 100GB storage

Which should you pick?

Choose Baffle if

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

Choose Steampipe if

  • You need sql over live apis.
  • You want to start without paying.
  • You work on macOS, Linux, Windows, Docker, Web.
  • You also want wide plugin set.

Questions people ask

Is Baffle or Steampipe better?
Neither clearly leads. Baffle starts at On request and Steampipe at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Baffle or Steampipe?
Steampipe has a free tier; the other does not. Paid plans start at On request for Baffle and Free for Steampipe.
Does Baffle or Steampipe run on more platforms?
Baffle runs on Linux, Web. Steampipe runs on macOS, Linux, Windows, Docker, Web.
Can I use Steampipe for free?
Yes. Steampipe 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 Steampipe is typically brought in for.
What can Baffle do that Steampipe cannot?
Baffle covers Transparent proxy deployment, Field-level encryption, Tokenisation, Format-preserving de-identification. Steampipe covers SQL over live APIs, Wide plugin set, Embedded Postgres, Compliance benchmarks.

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.

Steampipe: When did Steampipe become AGPL?

May 2021, about four months after the project went public. It is a settled licence rather than a recent change, and predates the Business Source Licence wave it is often confused with.

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.

Steampipe: Where did the dashboards and benchmarks go?

Into Powerpipe. They were deprecated in March 2024 and removed from Steampipe at version 1.0 in October 2024, so the check, dashboard, mod and variable commands are gone.

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.

Steampipe: Is it fast on a large cloud estate?

Not always. Queries call provider APIs at request time, so rate limits rather than query planning set the pace, and there is no persistent store by default.

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.

Steampipe: Does the AGPL affect internal use?

Running it internally for your own analysis is fine. Putting a web interface in front of it that other people use is where the network clause becomes a question for your legal team.

Steampipe: Is a bootstrapped vendor a risk?

It cuts both ways. There is no investor pressure toward a licence change or an exit, and there are also fifteen people supporting a large product surface.

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