Voracity Platform Pricing

Low Cost, Low Risk. High Efficiency, High Return.



The Voracity graphical user interface (GUI), IRI Workbench, runs on Windows, Linux, and MacOS (Sierra). Built on Eclipse™, IRI Workbench uses a built-in or available JRE. Amazon and Azure platforms support bare metal and VM instances of Voracity, and PaaS solutions are in development for OCI.


The default back-end executable in Voracity (the CoSort SortCL program) runs with or without the IRI Workbench GUI on all Windows, Linux, and Unix systems listed below. Mainframe and cloud data can still be processed with the GUI (client) connection to your host (server). A cloud version for Amazon and Azure services is in development. The Hadoop version requires CentOS, Red Hat, or SUSE Linux.


Voracity runs on Windows XP, 7-10, Server 2000-16.


Voracity on Linux runs on 32- and 64-bit Intel x86 and Itanium hardware. It is certified Red Hat Ready (for RHEL) and Novell YES! for SLES. Container versions are also available.

The CoSort for Linux back-end in Voracity also runs on other chipsets as well. Being IBM Chiphopper-certified, it runs on Linux platforms including: IBM eServer x, i p, and zSeries (mainframe). Additional ports include SLES (SuSE) 8-11 and the IBM POWER5-7 chips, and Linux variants like AsianUX, CentOS, Debian, Fedora Core, Gentoo, Mandrake, Oracle Linux, and Ubuntu.


Voracity runs on the following Unix systems:

  • HP 900 (PA-RISC and ia2 systems) running HP-UX 9-11iv3
  • IBM RS/6000, pSeries, SP2, and ES9000 running AIX 5-7 and AIX/ESA
  • Bull DPX/2 and Escala running AIX
  • Compaq (Digital) AlphaServers running Tru64 Unix 4-5
  • DECsystems running RISC/Ultrix and Digital/OSF
  • SunFire, Sun UE and SPARCware running Solaris 5-11
  • Fujitsu, Solbourne and CS6400) running SunOS 2-4, Solaris 5-11
  • Apple (Mac) PowerPC running OS X 10.3 & macOS 10.12 (Sierra) and x86 running 10.6 (Snow Leopard)
  • Pyramid Reliant, NileMISserver and 9000[T] running DC/OSx
  • Silicon Graphics running IRIX
  • Sequent NUMA-Q and Symmetry running ptx and DYNIX
  • Data General AViiON running DG/UX
  • Siemends-Nixdorf RM running SINIX
  • SCO Unix and UnixWare
  • Solaris on Intel (x86)
  • Encore Infinity
  • Fujitsu DS/90
  • Amdahl 5990/5
  • Convex C
  • Wyse 5-9000
  • Interactive Unix
  • FreeBSD for Intel

Virtual Machine

Voracity runs on virtual machines over VMware, IBM KVM (PureSystems), and similar environments supporting the operating systems above.


Voracity is priced to be a simple, affordable operational expense (opex). Choose from 1-year or discounted 5-year licenses. Ask us about perpetual use.

Subscription pricing for the base Voracity platform includes support, and ranges from departmental to enterprise. Tiered annual pricing starts in the low five figures, and is based only on the number of server executables in use, on-premise or in the cloud. What you get:

Unlimited Users

Any number of application developers, BI/DW architects, DBAs, data scientists, and governance officers can interact with Voracity without racking up the cost.

Unlimited Cores

We don't care how big or small your hardware resources are, where they live, or whether they get upgraded.

Standard Support

We're here Monday through Friday, 8AM to 6PM Eastern, and our international partners are in your time zone, ready to help you with proofs-of-concept, performance optimization, and problem resolution.

5 Year Fixed Price

Whether you start out with a 1 or a 5 year subscription, your price will not increase in that 5 year period. An up-front, but discounted perpetual use option is also available.

What else should I know?


Voracity includes probably more than you'll need in the base edition. Add-on components do cost more, as do sales and services provided by IRI resellers and authorized Voracity experts.
The Voracity front-end, IRI Workbench is a free graphical IDE built on Eclipse. Distribute it throughout your organization to foster data discovery, collaborative solution design, and metadata exchange. An in-development freemium version of Voracity will accomplish many tasks in smaller data environments.