Cybersecurity · head to head
BigID vs Depot

BigID
Cybersecurity
Data discovery and classification across cloud, on-premise and unstructured stores
- 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: 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.; Depot developer plan minute limits may be insufficient for active development
- They diverge on capability: BigID covers Structured and unstructured scanning, Depot covers Depot CI.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which BigID 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 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 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.
BigID
- A bank that has to prove which of thirty year old file shares contain customer identifiers before a data centre migrationnot Depot
- A privacy team that cannot fulfil deletion requests because nobody knows which unstructured stores hold a given customer’s recordsnot Depot
- A security team wanting to find sensitive data sitting in publicly readable object storage buckets before an attacker doesnot Depot
- A company building retrieval augmented AI that must exclude regulated personal data from the index it feeds to a modelnot Depot
Depot
- Accelerating Docker builds for container-based developmentnot BigID
- Replacing GitHub Actions runners with faster infrastructurenot BigID
- Distributing cache across Monorepo buildsnot BigID
- Debugging failed CI builds interactively with SSHnot 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.
Depot
- Developer plan minute limits may be insufficient for active development
- Startup plan at $200/mo is expensive for smaller teams
- Business plan requires custom pricing consultation
- macOS M2 runners not available on Developer plan
Pricing, plan by plan
BigID
On request- BigID Platform$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
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 BigID if
- You need structured and unstructured scanning.
- You work on Web, API, Self-hosted.
- You also want identity correlation.
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 BigID or Depot better?
- Neither clearly leads. BigID 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, BigID or Depot?
- Depot has a free tier; the other does not. Paid plans start at On request for BigID and Free for Depot.
- Does BigID or Depot run on more platforms?
- BigID runs on Web, API, Self-hosted. 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. 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 Depot is typically brought in for.
- What can BigID do that Depot cannot?
- BigID covers Structured and unstructured scanning, Identity correlation, Data security posture management, Access intelligence. Depot covers Depot CI, Container builds, GitHub Actions runners, Distributed caching.
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.
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.
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.
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.
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.
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.
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.
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- Depot vs Avo
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- Depot vs Bitbucket
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