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Government · head to head

OpenGov vs Quantexa

OpenGov logo

OpenGov

Government

Modern Cloud ERP for Government

From
$1000/month
Free plan
No
Quantexa logo

Quantexa

Cybersecurity

Entity resolution and network analytics for financial crime investigation

From
On request
Free plan
No

The short version

  • Each has a real cost: OpenGov custom pricing only, no transparent public pricing; 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: OpenGov covers Budgeting & Planning, Quantexa covers Entity resolution.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which OpenGov and Quantexa actually diverge.

Attributes where OpenGov and Quantexa differ
AttributeOpenGovQuantexa
Starting price$1000/monthOn request
Pricing modelsubscriptionquote
PlatformsWebWeb, Linux
CategoryGovernmentCybersecurity
Founded2012Unknown

Identical on both: free tier (No), 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 OpenGov

  • Budgeting & Planning
  • Financial Reporting
  • Permitting & Licensing
  • Asset Management
  • Transparency Portal
  • Tyler Technologies
  • Munis
  • Microsoft Excel

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.

OpenGov

  • Citizen Servicesnot Quantexa
  • Records Managementnot Quantexa
  • Public Safetynot Quantexa
  • Civic Engagementnot Quantexa

Quantexa

  • A bank whose AML alert backlog is dominated by false positives and wants network context to close them fasternot OpenGov
  • Sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholdernot OpenGov
  • Merging customer records across retail, commercial and wealth divisions after an acquisition to see total exposurenot OpenGov
  • A tax or benefits agency looking for organised fraud rings rather than individual claimantsnot OpenGov

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

OpenGov

  • Custom pricing only, no transparent public pricing
  • No free tier available
  • Requires vendor contact for quotes

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

OpenGov

$1000/month
  • Government Cloud$1000/month
    • Budgeting & Planning
    • Reporting & Transparency
    • Citizen Services

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 OpenGov if

  • You need budgeting & planning.
  • You also want financial reporting.

Choose Quantexa if

  • You need entity resolution.
  • You work on Web, Linux.
  • You also want network generation.

Questions people ask

Is OpenGov or Quantexa better?
Neither clearly leads. OpenGov starts at $1000/month and Quantexa at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, OpenGov or Quantexa?
OpenGov starts at $1000/month and Quantexa at On request.
Does OpenGov or Quantexa run on more platforms?
OpenGov runs on Web. Quantexa runs on Web, Linux.
What is OpenGov best used for?
OpenGov is most often used for citizen services, records management, public safety, civic engagement. Of those, citizen services and records management are not what Quantexa is typically brought in for.
What can OpenGov do that Quantexa cannot?
OpenGov covers Budgeting & Planning, Financial Reporting, Permitting & Licensing, Asset Management. Quantexa covers Entity resolution, Network generation, Contextual monitoring, Investigation workspace.

Answered from the vendors’ own pages

OpenGov: What does OpenGov provide?

OpenGov is government budgeting and planning software for municipalities and public sector organizations. It helps with budget planning, financial management, and government transparency.

Source
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.

OpenGov: How much does OpenGov cost?

OpenGov pricing is custom and quote-based. There is no public pricing listed. Organizations need to contact OpenGov directly for a proposal based on their specific needs.

Source
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.

OpenGov: Is there a free tier?

No. OpenGov does not offer a free plan. Pricing requires direct vendor contact and is procurement-led.

Source
Quantexa: How is it priced?

Not publicly. Expect an annual subscription scaled by data volume and number of use cases, plus separate implementation cost.

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