Rapid Addition and Quazar both sell a connectivity layer rather than a bare engine, so this is a comparison between two platforms rather than between a platform and a library. Rapid Addition, an independent London vendor founded in 2003, offers RA Platform: a modular trading architecture built from RA FIX Engine, the RA Hub middleware, RA Monitor, the RA FastLane FPGA accelerator and a set of adapters with an open API.1,2 Quazar, built by Quod Financial, is an AI-native FIX fabric that unifies routing, transformation, session management and monitoring in one platform, configured in plain language or through a REST API.
The differences lie in who writes the transformation rules, how a counterparty is certified, whether ultra-low-latency hardware is part of the scope, and how the platform is priced.
Quazar vs Rapid Addition at a glance
| Criteria | Rapid Addition (RA Platform) | Quazar |
|---|---|---|
| Category | Modular trading connectivity platform: RA FIX Engine, RA Hub middleware, RA Monitor, RA FastLane FPGA, RA Adapters and Open API1 | AI-native FIX fabric: routing, transformation, session management and monitoring in one platform |
| Protocol scope | Protocol and asset class agnostic; RA Hub transforms messages across any protocol through adapters1,2 | FIX-to-FIX, with a REST API for every operation and MCP for agents |
| Deployment | On-premise, in-cloud or hybrid (RA Hub); on-premise or cloud on any modern x86 server (RA FIX Engine)2,3 | On-premise, cloud-hosted, or fully managed by Quod Financial |
| Licensing and pricing model | Commercial, sold directly; licence structure and figures not published1 | Free for the buy side up to 10 inbound connections; fixed price for the sell side, no per-connection, plug-in or network fees |
| FIX versions | "All versions of FIX", with custom and non-standard fields through an XML-based repository editor3 | FIX 4.x and 5.0, with cross-version conversion inside a single flow |
| Languages | RA FIX Engine in Java and .NET, with documented APIs3 | Written in C++; configured through a visual rule builder, plain-language AI or a REST API, no coding required |
| Transformation and rules | Real-time message transformation in RA Hub, configured through a config interface and an Open Development Framework2 | Rule-based transformation of versions, tags, values and repeating groups; rules generated by AI from a counterparty's specification; reusable functions and templates |
| Counterparty onboarding and certification | RA Hub is positioned for client and counterparty onboarding with automated testing; no named certification service found2 | AI-driven automated certification and testing, template library; onboarding available as a managed service |
| Monitoring | RA Monitor: real-time order and session status, alerting, message tracing with log access, storage of millions of messages, web UI4 | Grafana-based dashboards, latency tracking, alerting, audit trail, message-level tracing and replay |
| Ultra-low latency | RA FastLane FPGA acceleration; RA FIX Engine claims market data tick-to-trade of under 13 microseconds at 99.9% of messages (vendor claim)5,3 | Not the design target; approximately 2,500 messages per second with full message persistence enabled |
| AI | No AI features described on the RA Platform, RA Hub, RA FIX Engine, RA Monitor or RA FastLane pages reviewed; transformation is presented as configuration-driven2 | AI-native: rule generation, automated triage, automated certification; bring your own LLM; MCP for your own agents |
| Company | Founded 2003, headquartered in London, independently owned6 | Built and maintained by Quod Financial, a trading technology company with more than twenty years of FIX infrastructure |
What is Rapid Addition, and what does it do well?
Rapid Addition was founded in 2003 to support the shift to electronic trading as FIX spread through secondary markets, and remains an independent vendor headquartered in London.6 RA Platform is described as protocol and asset class agnostic, letting firms design and deploy custom electronic trading workflows.1 RA FIX Engine supports all versions of FIX, handles custom fields through an XML-based repository editor, and ships in Java and .NET.3 RA Hub is the middleware layer: real-time message transformation across any protocol, client and counterparty onboarding, and deployment on-premise, in the cloud or hybrid.2
Its strengths are breadth of protocol coverage and latency. Because RA Hub is protocol agnostic, a firm can run FIX alongside other formats through the same adapters. RA FastLane brings FPGA acceleration for ultra-low-latency use cases, built on intellectual property from the 2016 acquisition of DET Tech and a collaboration with Fraunhofer HHI, and RA FIX Engine publishes a market data tick-to-trade figure of under 13 microseconds at 99.9% of messages, a vendor claim.5,6,3 RA Monitor gives operations a consolidated view across platforms with alerting and message-level drill-down.4 For a firm whose problem is latency-sensitive multi-protocol workflow design, this is a serious platform.
How does Quazar differ from RA Platform?
Quazar differs from RA Platform in what it optimises for. RA Platform is a workflow-design platform where transformation is configured through RA Hub's config interface and Open Development Framework.2 Quazar is a fabric for the FIX connectivity problem specifically: the rule set for a new counterparty is generated by AI from that counterparty's specification, or loaded from a validated template, then checked by AI-driven automated certification and testing before cutover. Routing patterns, from pass-through to many-to-many, market data fan-out and drop-copy, are configured rather than designed.
The operational model differs too. Quazar applies routing and transformation changes through the REST API or GUI with no restart, changes data dictionaries without a session restart, and rolls back to the last known-good state. Automated triage groups an error with its related messages and logs so an operator sees the inbound message, the rules applied and the outbound result in one view. And Quazar is priced to remove the connection as a unit of cost: free for the buy side up to 10 inbound connections, and a fixed price for the sell side.
What Quazar does not offer is FPGA acceleration, native handling of non-FIX protocols, or an engine library in Java or .NET. Quazar's published throughput is approximately 2,500 messages per second with full persistence enabled, which is sized for institutional order flow, not for tick-to-trade in microseconds. A firm building a latency-critical market-making stack is looking at a different category of product.
When is Rapid Addition the right choice, and when is Quazar?
Choose Rapid Addition when the requirement is a multi-protocol workflow platform, when microsecond latency and FPGA acceleration are part of the specification, or when your team wants to design its own trading workflows in a development framework. Choose Quazar when the problem is the number and variety of FIX counterparties: a buy-side desk connecting its broker list without an engineering project or a network fee, or a sell-side firm normalising hundreds of inbound client dialects into one internal format.
They can also coexist. RA FIX Engine and RA Hub are FIX-capable systems, and any FIX-capable system connects to Quazar as a standard session. A firm can keep RA Platform for its latency-critical or non-FIX flows and place Quazar in front of the counterparties whose dialects change most often.
Questions firms ask when comparing Quazar and Rapid Addition
Is RA Hub the same kind of product as Quazar?
They overlap. Both transform and route messages between counterparties. RA Hub is protocol agnostic and configured through its config interface; Quazar is FIX-focused, with rules generated by AI and validated by automated certification.
Which one is faster?
Rapid Addition publishes a market data tick-to-trade of under 13 microseconds at 99.9% of messages for RA FIX Engine and offers FPGA acceleration. Quazar publishes approximately 2,500 messages per second with full persistence. They are built for different latency requirements.
Does Rapid Addition use AI?
No AI features are described on the RA Platform, RA Hub, RA FIX Engine, RA Monitor or RA FastLane pages reviewed; transformation is presented as configuration-driven. Quazar is AI-native, with rule generation, triage and certification inside the product, plus bring-your-own-LLM and MCP support.
Does Rapid Addition support protocols other than FIX?
Yes. RA Platform and RA Hub are described as protocol agnostic, with adapters for other formats. Quazar is FIX-to-FIX, with a REST API and MCP for integration.
How are the two priced?
Rapid Addition sells commercial licences directly and publishes no figures. Quazar is free for the buy side up to 10 inbound connections and priced at a fixed rate for the sell side, with no per-connection or network fees.
Can an RA Platform deployment connect to Quazar?
Yes. RA FIX Engine and RA Hub are FIX-capable systems, so they connect to Quazar as standard FIX sessions. Quazar then handles dialect translation and routing to the counterparties on the other side.
Sources
- Rapid Addition, "RA Platform", rapidaddition.com/platform, accessed 22 September 2026.
- Rapid Addition, "RA Hub", rapidaddition.com/platform/ra-hub, accessed 22 September 2026.
- Rapid Addition, "RA FIX Engine", rapidaddition.com/platform/ra-fix-engine, accessed 22 September 2026.
- Rapid Addition, "RA Monitor", rapidaddition.com/platform/ra-monitor, accessed 22 September 2026.
- Rapid Addition, "RA FastLane", rapidaddition.com/platform/ra-fastlane, accessed 22 September 2026.
- Rapid Addition, "About Rapid Addition", rapidaddition.com/about-rapid-addition, accessed 22 September 2026.
Quazar statements are taken from quazar.org product and FAQ pages and from Quod Financial's launch announcement of 16 September 2026, accessed 22 September 2026. FIX and the other terms used here are defined in the glossary. Rapid Addition, RA Platform, RA Hub and RA FastLane are trademarks of their owner; this page describes publicly stated capabilities and makes no claim about relative cost.