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Cybersecurity · head to head

BigID vs Sweep

BigID logo

BigID

Cybersecurity

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

From
On request
Free plan
No
Sweep logo

Sweep

Developer Tools

AI coding assistant for JetBrains IDEs

From
Free
Free plan
Yes

The short version

  • Only Sweep 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.; Sweep limited to JetBrains IDEs only, not available for VS Code or other editors
  • They diverge on capability: BigID covers Structured and unstructured scanning, Sweep covers Autocomplete.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which BigID and Sweep actually diverge.

Attributes where BigID and Sweep differ
AttributeBigIDSweep
Starting priceOn requestFree
Pricing modelquoteFreemium with paid tiers
Free tierNoYes
PlatformsWeb, API, Self-hostedJetBrains IDEs
CategoryCybersecurityDeveloper Tools
FoundedUnknown2023

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 Sweep

  • Autocomplete
  • AI Agent
  • Full codebase indexing
  • Code review functionality
  • Multi-IDE support
  • GitHub integration

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

Sweep

  • Accelerating code completion for JetBrains developersnot BigID
  • Automating refactoring tasks across codebasesnot BigID
  • Handling bug fixes with full repository contextnot BigID
  • Code review and quality assurancenot 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.

Sweep

  • Limited to JetBrains IDEs only, not available for VS Code or other editors
  • Free tier limited to 1,000 autocompletes per month
  • API credit consumption varies by feature usage
  • Performance dependent on codebase size and indexing quality

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

Sweep

Free
  • FreeFree
    • 1,000 autocompletes
    • 5 USD API credits included
    • All JetBrains IDEs supported
  • Pro$20/month
    • Unlimited autocomplete
    • Higher API credit allocation
    • Priority support
  • Ultra$60/month
    • Unlimited autocomplete
    • Maximum API credit allocation
    • Extended context window

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 Sweep if

  • You need autocomplete.
  • You want to start without paying.
  • You work on JetBrains IDEs.
  • You also want ai agent.

Questions people ask

Is BigID or Sweep better?
Neither clearly leads. BigID starts at On request and Sweep at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigID or Sweep?
Sweep has a free tier; the other does not. Paid plans start at On request for BigID and Free for Sweep.
Does BigID or Sweep run on more platforms?
BigID runs on Web, API, Self-hosted. Sweep runs on JetBrains IDEs.
Can I use Sweep for free?
Yes. Sweep 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 Sweep is typically brought in for.
What can BigID do that Sweep cannot?
BigID covers Structured and unstructured scanning, Identity correlation, Data security posture management, Access intelligence. Sweep covers Autocomplete, AI Agent, Full codebase indexing, Code review functionality.

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.

Sweep: What programming languages does Sweep support?

Sweep works with all programming languages supported by JetBrains IDEs, including Python, Java, JavaScript, Go, Kotlin, C++, and many others.

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.

Sweep: Does Sweep retain my code data?

No. Sweep is SOC 2 Type II certified with zero data retention. Code is processed for suggestions but not stored.

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.

Sweep: Can I cancel my Sweep subscription anytime?

Yes. You can cancel your subscription at any time from your account settings with no long-term commitments or cancellation fees.

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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