Cybersecurity · head to head
Quantexa vs Soketi

Quantexa
Cybersecurity
Entity resolution and network analytics for financial crime investigation
- From
- On request
- Free plan
- No

Soketi
Developer Tools
Self-hosted, Pusher-compatible WebSockets server with a stalled maintenance record
- From
- Free
- Free plan
- Yes
The short version
- Only Soketi has a free tier, so it costs nothing to try first.
- 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.; Soketi maintenance has effectively stalled: the maintainer has said time is severely limited, releases are infrequent, and the community has been discussing whether the project is abandoned, which means security fixes may not arrive.
- They diverge on capability: Quantexa covers Entity resolution, Soketi covers Pusher protocol compatibility.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Quantexa and Soketi actually diverge.
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 Quantexa
- Entity resolution
- Network generation
- Contextual monitoring
- Investigation workspace
- Data fusion
- Deployment on customer cloud
Only in Soketi
- Pusher protocol compatibility
- Presence and private channels
- Horizontal scaling
- App management backends
- Webhooks
- Prometheus metrics
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 Soketi
- Sanctions investigation where the sanctioned party is not the account holder but a connected director or shareholdernot Soketi
- Merging customer records across retail, commercial and wealth divisions after an acquisition to see total exposurenot Soketi
- A tax or benefits agency looking for organised fraud rings rather than individual claimantsnot Soketi
Soketi
- A Laravel application that already uses Echo and wants to stop paying a hosted realtime providernot Quantexa
- Realtime notifications or presence indicators where data must not leave your own infrastructure for compliance reasonsnot Quantexa
- A local or CI environment that needs a Pusher-compatible server without hitting a paid accountnot Quantexa
- A high-connection-count application where hosted per-connection pricing has become the largest line in the infrastructure billnot 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.
Soketi
- Maintenance has effectively stalled: the maintainer has said time is severely limited, releases are infrequent, and the community has been discussing whether the project is abandoned, which means security fixes may not arrive.
- Dependency drift on Node and uWebSockets.js will eventually force you to fork or migrate, and that cost is unbudgeted at the point you adopt it.
- There is no commercial support to buy, so a production incident at three in the morning is entirely your problem with no escalation path.
- Scaling beyond a single node needs Redis and careful configuration, and getting presence channels correct across nodes is a genuine source of subtle bugs.
- It implements the Pusher protocol rather than tracking it, so any protocol feature Pusher adds later will not appear, and the compatibility guarantee slowly decays.
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
Soketi
Free- SoketiFree
- MIT licensed
- Unlimited connections subject to your own hardware
- No vendor billing
Which should you pick?
Choose Quantexa if
- You need entity resolution.
- You work on Web, Linux.
- You also want network generation.
Choose Soketi if
- You need pusher protocol compatibility.
- You want to start without paying.
- You work on Linux, macOS, Windows.
- You also want presence and private channels.
Questions people ask
- Is Quantexa or Soketi better?
- Neither clearly leads. Quantexa starts at On request and Soketi at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Quantexa or Soketi?
- Soketi has a free tier; the other does not. Paid plans start at On request for Quantexa and Free for Soketi.
- Does Quantexa or Soketi run on more platforms?
- Quantexa runs on Web, Linux. Soketi runs on Linux, macOS, Windows.
- Can I use Soketi for free?
- Yes. Soketi has a free tier, so you can try it without paying. Quantexa starts at On request.
- 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 Soketi is typically brought in for.
- What can Quantexa do that Soketi cannot?
- Quantexa covers Entity resolution, Network generation, Contextual monitoring, Investigation workspace. Soketi covers Pusher protocol compatibility, Presence and private channels, Horizontal scaling, App management backends.
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.
Soketi: Is Soketi still maintained?
Barely. The maintainer has stated that available time is very limited and releases have been sparse; treat it as community-maintained.
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.
Soketi: Do I need to change my client code?
No. Pusher client SDKs and Laravel Echo work by changing the host, port and credentials.
Quantexa: How is it priced?
Not publicly. Expect an annual subscription scaled by data volume and number of use cases, plus separate implementation cost.
Soketi: What does it cost?
Nothing in licence fees. It is MIT licensed; you pay for the server it runs on.
Soketi: What are people moving to?
Laravel Reverb for Laravel applications, and Sockudo, a Rust reimplementation, for others.
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- Soketi vs Featurespace ARIC Risk Hub
- Soketi vs Feedzai
- Soketi vs ThetaRay
- Soketi vs Jumio
- Soketi vs Fenergo
- Soketi vs Sumsub
- Soketi vs iDenfy
- Soketi vs Shufti Pro
- Soketi vs Unit21
- Soketi vs Sardine
- Soketi vs Syft
- Soketi vs Trivy
- Soketi vs Trulioo
- Soketi vs Veracode
- Soketi vs PartyKit
- Soketi vs Penpot
- Soketi vs Atlantis
- Soketi vs Coder
- Soketi vs Backstage
- Soketi vs Xlinesoft
- Soketi vs Bazel
- Soketi vs Eclipse IDE
- Soketi vs Pants Build
- Soketi vs Ansible
- Soketi vs Helix
- Soketi vs Jitsu
- Soketi vs Avo
- Soketi vs Azure DevOps
- Soketi vs Bitbucket
- Soketi vs Claude Code
- Soketi vs Cloud Native Buildpacks
