Cybersecurity · head to head
BigID vs Penpot

BigID
Cybersecurity
Data discovery and classification across cloud, on-premise and unstructured stores
- From
- On request
- Free plan
- No

Penpot
Developer Tools
Open source design and prototyping platform
- From
- Free
- Free plan
- Yes
The short version
- Only Penpot has a free tier, so it costs nothing to try first.
- Each has a real cost: BigID pricing scales with data sources and volume, so the cost rises exactly as the estate you need to scan grows, and the modules shown in a demo, including AI security posture and headless deployment, are frequently separate licences that appear only in the final quote.; Penpot smaller user base and community compared to Figma means fewer templates and resources
- They diverge on capability: BigID covers Structured and unstructured scanning, Penpot covers Vector editing.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which BigID and Penpot 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 BigID
- Structured and unstructured scanning
- Identity correlation
- Data security posture management
- Access intelligence
- Privacy request support
- Retention and minimisation
- AI data controls
- Policy and remediation workflow
Only in Penpot
- Vector editing
- Interactive prototyping
- Design systems
- Components & libraries
- Real-time collaboration
- SVG support
- CSS Grid & Flexbox
- Code export
What people use each for
The jobs each tool is most often brought in to do.
BigID
- A bank that has to prove which of thirty year old file shares contain customer identifiers before a data centre migrationnot Penpot
- A privacy team that cannot fulfil deletion requests because nobody knows which unstructured stores hold a given customer’s recordsnot Penpot
- A security team wanting to find sensitive data sitting in publicly readable object storage buckets before an attacker doesnot Penpot
- A company building retrieval augmented AI that must exclude regulated personal data from the index it feeds to a modelnot Penpot
Penpot
- UI/UX designnot BigID
- Prototypingnot BigID
- Design systemsnot BigID
- Developer handoffnot BigID
- Open source projectsnot BigID
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
BigID
- Pricing scales with data sources and volume, so the cost rises exactly as the estate you need to scan grows, and the modules shown in a demo, including AI security posture and headless deployment, are frequently separate licences that appear only in the final quote.
- Scanning large unstructured estates is slow and computationally expensive, so most organisations sample rather than scan everything, which reintroduces uncertainty into the very question they bought the tool to settle.
- Classification accuracy on messy unstructured content requires tuning, and out of the box false positives on things like reference numbers create a large triage backlog that a small governance team cannot clear.
- It discovers and reports but does not remediate, so realising value requires a separate process and often separate tooling to actually delete, restrict or move the data it flags.
- It is built for large enterprises and both the price and the administrative overhead are disproportionate below a few thousand employees, where a lighter DSPM tool covers the security use case for far less.
Penpot
- Smaller user base and community compared to Figma means fewer templates and resources
- Self-hosting requires Linux server and Docker knowledge for technical setup
- Real-time collaboration features may have performance issues with very large design files
Pricing, plan by plan
BigID
On request- BigID Platform$undefined/year
- Priced by number of data sources and data volume
- Discovery and classification core
- Optional DSPM, access intelligence and AI security modules licensed separately
Penpot
Free- FreeFree
- Cloud-based design
- Real-time collaboration
- Components and variants
- Unlimited$7/month
- All free features
- Priority support
- Advanced cloud features
- Enterprise$950/month
- Custom enterprise features
- Dedicated support
- Advanced security
Which should you pick?
Choose BigID if
- You need structured and unstructured scanning.
- You work on Web, API, Self-hosted.
- You also want identity correlation.
Choose Penpot if
- You need vector editing.
- You want to start without paying.
- You work on Web, Windows, macOS, Linux.
- You also want interactive prototyping.
Questions people ask
- Is BigID or Penpot better?
- Neither clearly leads. BigID starts at On request and Penpot at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigID or Penpot?
- Penpot has a free tier; the other does not. Paid plans start at On request for BigID and Free for Penpot.
- Does BigID or Penpot run on more platforms?
- BigID runs on Web, API, Self-hosted. Penpot runs on Web, Windows, macOS, Linux.
- Can I use Penpot for free?
- Yes. Penpot has a free tier, so you can try it without paying. BigID starts at On request.
- What is BigID best used for?
- BigID is most often used for a bank that has to prove which of thirty year old file shares contain customer identifiers before a data centre migration, a privacy team that cannot fulfil deletion requests because nobody knows which unstructured stores hold a given customer’s records, a security team wanting to find sensitive data sitting in publicly readable object storage buckets before an attacker does, a company building retrieval augmented ai that must exclude regulated personal data from the index it feeds to a model. Of those, a bank that has to prove which of thirty year old file shares contain customer identifiers before a data centre migration and a privacy team that cannot fulfil deletion requests because nobody knows which unstructured stores hold a given customer’s records are not what Penpot is typically brought in for.
- What can BigID do that Penpot cannot?
- BigID covers Structured and unstructured scanning, Identity correlation, Data security posture management, Access intelligence. Penpot covers Vector editing, Interactive prototyping, Design systems, Components & libraries.
Answered from the vendors’ own pages
BigID: What does BigID cost?
It is quoted by data source count and volume. Reported contracts run from roughly 15,000 to 175,000 US dollars a year, and add-on modules such as AI security posture are licensed on top.
Penpot: Is Penpot really free?
Yes. Penpot is completely free with no feature gates. The open-source version can be self-hosted on your own infrastructure for zero cost beyond server expenses.
SourceBigID: Does it handle unstructured data?
Yes, and that is its main advantage. It classifies data in files and shares and correlates findings back to individuals, not just to data types.
Penpot: Can I self-host Penpot?
Yes. Penpot can be self-hosted on your own infrastructure with no licensing costs. Organizations with specific privacy or governance needs can run Penpot on their own servers.
SourceBigID: Will it delete the data it finds?
Not by itself in most deployments. It identifies and routes findings; deletion and remediation happen through your own processes or connected systems.
Penpot: What are the paid plans if I use Penpot cloud?
Penpot's cloud service offers a free tier, Unlimited plan at $7 per user per month for professionals and medium teams, and Enterprise starting at $950 per month for larger organizations.
SourceBigID: Is it a privacy tool or a security tool?
Both are sold from the same discovery core. Buyers increasingly come from security wanting data security posture management rather than from legal wanting privacy.
Penpot: What platforms does Penpot support?
Penpot runs in the browser, so it works on Windows, Mac, Linux, and any OS with a web browser. No platform-specific downloads required.
SourceRelated pages
Other head to heads
- BigID vs Securiti
- BigID vs Transcend
- BigID vs TrustArc
- BigID vs OneTrust
- BigID vs DataGrail
- BigID vs Varonis Data Security Platform
- BigID vs Enpass
- BigID vs Osano
- BigID vs Brave Browser
- BigID vs Private Internet Access
- BigID vs CyberGhost VPN
- BigID vs Netwrix
- BigID vs Drata
- BigID vs DTiQ
- BigID vs ESET NOD32 Antivirus
- BigID vs Falco
- BigID vs Fenergo
- BigID vs ExpressVPN
- BigID vs Keycloak
- BigID vs Soketi
- BigID vs Visual Studio Code
- BigID vs Ansible
- BigID vs Helix
- BigID vs Bazel
- BigID vs Eclipse IDE
- BigID vs Pants Build
- BigID vs Jitsu
- BigID vs Notepad++
- BigID vs Tilt
- BigID vs Backstage
- BigID vs StackBlitz
- BigID vs Steampipe
- BigID vs WarpBuild
- BigID vs Webpack
- BigID vs Avo
- Penpot vs Securiti
- Penpot vs Transcend
- Penpot vs TrustArc
- Penpot vs OneTrust
- Penpot vs DataGrail
- Penpot vs Varonis Data Security Platform
- Penpot vs Enpass
- Penpot vs Osano
- Penpot vs Brave Browser
- Penpot vs Private Internet Access
- Penpot vs CyberGhost VPN
- Penpot vs Netwrix
- Penpot vs Drata
- Penpot vs DTiQ
- Penpot vs ESET NOD32 Antivirus
- Penpot vs Falco
- Penpot vs Fenergo
- Penpot vs ExpressVPN
- Penpot vs Keycloak
- Penpot vs Soketi
- Penpot vs Visual Studio Code
- Penpot vs Ansible
- Penpot vs Helix
- Penpot vs Bazel
- Penpot vs Eclipse IDE
- Penpot vs Pants Build
- Penpot vs Jitsu
- Penpot vs Notepad++
- Penpot vs Tilt
- Penpot vs Backstage
- Penpot vs StackBlitz
- Penpot vs Steampipe
- Penpot vs WarpBuild
- Penpot vs Webpack
- Penpot vs Avo
