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Cybersecurity · head to head

BigID vs Motorola Vigilant

BigID logo

BigID

Cybersecurity

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

From
On request
Rated
-
Full reviewWebsite
Motorola Vigilant logo

Motorola Vigilant

Cybersecurity

Fixed and mobile licence plate recognition with a shared law enforcement plate database

From
On request
Rated
-
Full reviewWebsite

The short version

  • 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.; Motorola Vigilant state law can decide eligibility outright: California's SB 34 imposes operator duties and restricts sharing ALPR data with out-of-state and federal agencies, and agencies have been audited and found non-compliant.
  • They diverge on capability: BigID covers Structured and unstructured scanning, Motorola Vigilant covers Fixed LPR cameras.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which BigID and Motorola Vigilant actually diverge.

Attributes where BigID and Motorola Vigilant differ
AttributeBigIDMotorola Vigilant
PlatformsWeb, API, Self-hostedWeb, Windows, iOS, Android

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Cybersecurity).

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 Motorola Vigilant

  • Fixed LPR cameras
  • Mobile LPR
  • LEARN database
  • VehicleManager analytics
  • Hotlist alerting
  • Published API
  • Audit logging

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

Motorola Vigilant

  • A police department building a hotlist alerting network on arterial roads into a jurisdictionnot BigID
  • An investigator reconstructing a suspect vehicle's movements across multiple agency jurisdictionsnot BigID
  • A toll or parking authority enforcing against a registered vehicle listnot BigID
  • A sheriff's office locating a vehicle associated with an active AMBER or missing person alertnot 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.

Motorola Vigilant

  • State law can decide eligibility outright: California's SB 34 imposes operator duties and restricts sharing ALPR data with out-of-state and federal agencies, and agencies have been audited and found non-compliant.
  • Local surveillance technology ordinances increasingly require a published usage policy, retention limits and a public council hearing before purchase, which can add many months or block the procurement entirely.
  • Motorola has faced litigation over its dual role as ALPR operator and end user, so the legal exposure of the data-sharing model is unresolved and sits partly with the purchasing agency.
  • The value comes from the shared LEARN database, which means the capability an agency actually buys depends on what other agencies contribute, and that can shrink if peers withdraw for legal or political reasons.
  • Nothing is published on price, and camera hardware, database subscription and analytics are separate line items, so the multi-year total is far higher than the initial camera quote suggests.

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

Motorola Vigilant

On request
  • Vigilant LPR$undefined/year
    • Fixed and mobile camera hardware quoted per unit
    • LEARN database access subscribed per agency
    • Analytics software licensed separately

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 Motorola Vigilant if

  • You need fixed lpr cameras.
  • You work on Web, Windows, iOS, Android.
  • You also want mobile lpr.
Motorola Vigilant review

Questions people ask

Is BigID or Motorola Vigilant better?
Neither clearly leads. BigID starts at On request and Motorola Vigilant at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigID or Motorola Vigilant?
BigID starts at On request and Motorola Vigilant at On request.
Does BigID or Motorola Vigilant run on more platforms?
BigID runs on Web, API, Self-hosted. Motorola Vigilant runs on Web, Windows, iOS, Android.
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 Motorola Vigilant is typically brought in for.
What can BigID do that Motorola Vigilant cannot?
BigID covers Structured and unstructured scanning, Identity correlation, Data security posture management, Access intelligence. Motorola Vigilant covers Fixed LPR cameras, Mobile LPR, LEARN database, VehicleManager analytics.

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.

Motorola Vigilant: What is LEARN?

The Law Enforcement Archival Reporting Network, the shared database where plate reads from subscribing agencies are stored and queried. It is the core of the product.

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.

Motorola Vigilant: Can any agency buy it?

No. Several states restrict ALPR use and data sharing, and many municipalities require a published usage policy and a public hearing first. Check statute and local ordinance before budgeting.

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.

Motorola Vigilant: Does California allow sharing with federal agencies?

SB 34 restricts sharing ALPR information with out-of-state and federal agencies, and California agencies have been audited on precisely that point.

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.

Motorola Vigilant: Is it only for police?

No. Toll and parking authorities, and some commercial repossession and insurance operations, also use LPR, though the LEARN law enforcement network is agency restricted.

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