Cybersecurity · head to head
Motorola Vigilant vs Quantexa

Motorola Vigilant
Cybersecurity
Fixed and mobile licence plate recognition with a shared law enforcement plate database
- From
- On request
- Rated
- -

Quantexa
Cybersecurity
Entity resolution and network analytics for financial crime investigation
- From
- On request
- Rated
- -
The short version
- Each has a real cost: 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.; Quantexa pricing is never published and lands in the seven figure range annually for a tier one deployment, so it is out of reach for mid-sized institutions no matter how well the analytics would fit.
- They diverge on capability: Motorola Vigilant covers Fixed LPR cameras, Quantexa covers Entity resolution.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Motorola Vigilant and Quantexa actually diverge.
| Attribute | Motorola Vigilant | Quantexa |
|---|---|---|
| Platforms | Web, Windows, iOS, Android | Web, Linux |
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 Motorola Vigilant
- Fixed LPR cameras
- Mobile LPR
- LEARN database
- VehicleManager analytics
- Hotlist alerting
- Published API
- Audit logging
Only in Quantexa
- Entity resolution
- Network generation
- Contextual monitoring
- Investigation workspace
- Data fusion
- Deployment on customer cloud
What people use each for
The jobs each tool is most often brought in to do.
Motorola Vigilant
- A police department building a hotlist alerting network on arterial roads into a jurisdictionnot Quantexa
- An investigator reconstructing a suspect vehicle's movements across multiple agency jurisdictionsnot Quantexa
- A toll or parking authority enforcing against a registered vehicle listnot Quantexa
- A sheriff's office locating a vehicle associated with an active AMBER or missing person alertnot Quantexa
Quantexa
- A bank whose AML alert backlog is dominated by false positives and wants network context to close them fasternot Motorola Vigilant
- Sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholdernot Motorola Vigilant
- Merging customer records across retail, commercial and wealth divisions after an acquisition to see total exposurenot Motorola Vigilant
- A tax or benefits agency looking for organised fraud rings rather than individual claimantsnot Motorola Vigilant
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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.
Quantexa
- Pricing is never published and lands in the seven figure range annually for a tier one deployment, so it is out of reach for mid-sized institutions no matter how well the analytics would fit.
- Output quality is bounded by input data quality, and organisations without governed customer data spend the first phase of the programme fixing feeds rather than catching criminals.
- Implementation typically requires a systems integrator and runs into quarters rather than weeks, so the business case has to survive a long period with no operational benefit.
- The platform augments rather than replaces existing transaction monitoring, so you keep paying for the incumbent system alongside it and total compliance technology spend rises before it falls.
- Skills are scarce; the platform needs people who understand both Spark scale data engineering and financial crime typologies, and those people are hard to recruit and easy to lose.
Pricing, plan by plan
Motorola Vigilant
On request- Vigilant LPR$undefined/year
- Fixed and mobile camera hardware quoted per unit
- LEARN database access subscribed per agency
- Analytics software licensed separately
Quantexa
On request- Quantexa Platform$undefined/year
- Entity resolution and network generation
- Deployed in customer cloud tenancy
- Priced by data volume and use case count
Which should you pick?
Choose Motorola Vigilant if
- You need fixed lpr cameras.
- You work on Web, Windows, iOS, Android.
- You also want mobile lpr.
Choose Quantexa if
- You need entity resolution.
- You work on Web, Linux.
- You also want network generation.
Questions people ask
- Is Motorola Vigilant or Quantexa better?
- Neither clearly leads. Motorola Vigilant starts at On request and Quantexa at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Motorola Vigilant or Quantexa?
- Motorola Vigilant starts at On request and Quantexa at On request.
- Does Motorola Vigilant or Quantexa run on more platforms?
- Motorola Vigilant runs on Web, Windows, iOS, Android. Quantexa runs on Web, Linux.
- What is Motorola Vigilant best used for?
- Motorola Vigilant is most often used for a police department building a hotlist alerting network on arterial roads into a jurisdiction, an investigator reconstructing a suspect vehicle's movements across multiple agency jurisdictions, a toll or parking authority enforcing against a registered vehicle list, a sheriff's office locating a vehicle associated with an active amber or missing person alert. Of those, a police department building a hotlist alerting network on arterial roads into a jurisdiction and an investigator reconstructing a suspect vehicle's movements across multiple agency jurisdictions are not what Quantexa is typically brought in for.
- What can Motorola Vigilant do that Quantexa cannot?
- Motorola Vigilant covers Fixed LPR cameras, Mobile LPR, LEARN database, VehicleManager analytics. Quantexa covers Entity resolution, Network generation, Contextual monitoring, Investigation workspace.
Answered from the vendors’ own pages
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.
Quantexa: Does Quantexa replace our transaction monitoring system?
No. It usually sits alongside it, adding network context to the alerts that system generates and to investigations.
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.
Quantexa: Where does our data go?
Into your own cloud tenancy in the normal deployment model. Quantexa does not require you to send customer data to a shared multi-tenant service.
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.
Quantexa: How is it priced?
Not publicly. Expect an annual subscription scaled by data volume and number of use cases, plus separate implementation cost.
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.
Related pages
More on Motorola Vigilant
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