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Cybersecurity · head to head

BigID vs Namespace

BigID logo

BigID

Cybersecurity

Data discovery and classification across cloud, on-premise and unstructured stores

From
On request
Free plan
No
Full reviewWebsite
Namespace logo

Namespace

Developer Tools

The dev platform for the next 100 billion commits

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Only Namespace 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.; Namespace developer plan is pay-as-you-go only; minimum usage unclear
  • They diverge on capability: BigID covers Structured and unstructured scanning, Namespace covers Devboxes.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which BigID and Namespace actually diverge.

Attributes where BigID and Namespace differ
AttributeBigIDNamespace
Starting priceOn requestFree
Pricing modelquoteUnknown
Free tierNoYes
PlatformsWeb, API, Self-hostedCloud, Mac, Windows, Linux
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 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 Namespace

  • Devboxes
  • GitHub Actions runners
  • Docker builds
  • Cross-invocation caching
  • NVMe storage
  • High-speed networking
  • Multiple OS support
  • Bazel and Turborepo support

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 Namespace
  • A privacy team that cannot fulfil deletion requests because nobody knows which unstructured stores hold a given customer’s recordsnot Namespace
  • A security team wanting to find sensitive data sitting in publicly readable object storage buckets before an attacker doesnot Namespace
  • A company building retrieval augmented AI that must exclude regulated personal data from the index it feeds to a modelnot Namespace

Namespace

  • Providing AI coding agents with cloud-based development environmentsnot BigID
  • Accelerating CI builds with faster GitHub Actions runnersnot BigID
  • Distributing builds across teams with managed infrastructurenot BigID
  • Scaling development velocity for monorepo organizationsnot 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.

Namespace

  • Developer plan is pay-as-you-go only; minimum usage unclear
  • Team plan $100/mo is competitive but usage limits may be tight
  • Devbox pricing separate at $0.004/minute could add up quickly
  • Enterprise plan requires custom sales conversation

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

Namespace

Free
  • DeveloperFree
    • Pay-as-you-go
    • On-demand compute
    • Docker builds
  • Team$100/month
    • 100,000 unit minutes
    • 1,000 Docker builds
    • Everything in Developer
  • Business$250/month
    • 250,000 unit minutes
    • 2,500 Docker builds
    • Everything in Team
  • Enterprise$undefined/custom
    • Custom compute/Docker build limits
    • Audit log export
    • Enterprise SSO

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.
BigID review

Choose Namespace if

  • You need devboxes.
  • You want to start without paying.
  • You work on Cloud, Mac, Windows, Linux.
  • You also want github actions runners.
Namespace review

Questions people ask

Is BigID or Namespace better?
Neither clearly leads. BigID starts at On request and Namespace at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigID or Namespace?
Namespace has a free tier; the other does not. Paid plans start at On request for BigID and Free for Namespace.
Does BigID or Namespace run on more platforms?
BigID runs on Web, API, Self-hosted. Namespace runs on Cloud, Mac, Windows, Linux.
Can I use Namespace for free?
Yes. Namespace 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 Namespace is typically brought in for.
What can BigID do that Namespace cannot?
BigID covers Structured and unstructured scanning, Identity correlation, Data security posture management, Access intelligence. Namespace covers Devboxes, GitHub Actions runners, Docker builds, Cross-invocation 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.

Namespace: How is compute usage metered on the Developer plan?

Developer plan uses pay-as-you-go billing. Devboxes bill at $0.004 per minute. Storage and caching services have separate usage-based fees. A 30-day free trial is available to test usage patterns.

Source
BigID: 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.

Namespace: What is the difference between Team and Business plans?

Team ($100/mo) includes 100,000 unit minutes and 1,000 Docker builds with email support. Business ($250/mo) includes 250,000 unit minutes, 2,500 Docker builds, and high concurrency with a dedicated Slack channel.

Source
BigID: 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.

Namespace: Can Namespace support AI coding agents?

Yes, Namespace Devboxes are specifically designed as feature-rich development environments for AI coding agents, with full tooling and performance optimization.

Source
BigID: 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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