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Cybersecurity · head to head

Quantexa vs Sourcegraph

Quantexa logo

Quantexa

Cybersecurity

Entity resolution and network analytics for financial crime investigation

From
On request
Free plan
No
Full reviewWebsite
Sourcegraph logo

Sourcegraph

Developer Tools

Code search and intelligence platform for large codebases with Cody AI assistant

From
$16000/year
Free plan
No
Full reviewWebsite

The short version

  • Each has a real cost: 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.; Sourcegraph enterprise pricing starting at $16k annually creates significant barrier for small teams
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Quantexa and Sourcegraph actually diverge.

Attributes where Quantexa and Sourcegraph differ
AttributeQuantexaSourcegraph
Starting priceOn request$16000/year
Pricing modelquotesubscription
PlatformsWeb, LinuxCloud, Self-hosted
CategoryCybersecurityDeveloper Tools

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 Quantexa

  • Entity resolution
  • Network generation
  • Contextual monitoring
  • Investigation workspace
  • Data fusion
  • Deployment on customer cloud

Only in Sourcegraph

Nothing recorded that Quantexa does not also cover.

What people use each for

The jobs each tool is most often brought in to do.

Quantexa

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

Sourcegraph

  • Large-scale code migrations across hundreds of repositoriesnot Quantexa
  • Enterprise governance and code ownership trackingnot Quantexa
  • AI-assisted bug hunting and security pattern detectionnot Quantexa
  • Onboarding engineers into large unfamiliar codebasesnot Quantexa
  • Regulatory compliance and code audit trailsnot Quantexa

Where each one falls short

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

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.

Sourcegraph

  • Enterprise pricing starting at $16k annually creates significant barrier for small teams
  • No free tier or standard plan published; all options require custom sales engagement
  • Complex enterprise-only positioning limits adoption compared to GitHub Copilot's pervasiveness
  • Requires indexing entire codebase; not suitable for small or ephemeral projects

Pricing, plan by plan

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

Sourcegraph

$16000/year
  • Enterprise$16000/year
    • Scales with team size
    • Credits for AI features per user
    • Deep Search

Which should you pick?

Choose Quantexa if

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

Choose Sourcegraph if

  • You work on Cloud, Self-hosted.
Sourcegraph review

Questions people ask

Is Quantexa or Sourcegraph better?
Neither clearly leads. Quantexa starts at On request and Sourcegraph at $16000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Quantexa or Sourcegraph?
Quantexa starts at On request and Sourcegraph at $16000/year.
Does Quantexa or Sourcegraph run on more platforms?
Quantexa runs on Web, Linux. Sourcegraph runs on Cloud, Self-hosted.
What is Quantexa best used for?
Quantexa is most often used for a bank whose aml alert backlog is dominated by false positives and wants network context to close them faster, sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholder, merging customer records across retail, commercial and wealth divisions after an acquisition to see total exposure, a tax or benefits agency looking for organised fraud rings rather than individual claimants. Of those, a bank whose aml alert backlog is dominated by false positives and wants network context to close them faster and sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholder are not what Sourcegraph is typically brought in for.
What can Quantexa do that Sourcegraph cannot?
Quantexa covers Entity resolution, Network generation, Contextual monitoring, Investigation workspace.

Answered from the vendors’ own pages

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.

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.

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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