Open source · Pure C · Zero dependencies
Analytics and graphs.
One fast engine.
Rayforce fuses columnar analytics, graph traversal, and recursive queries into one embeddable execution pipeline—built for teams that measure latency in microseconds, not meetings.
; 100,000 deterministic market rows
(select {from: trades
where: (> qty 100)
by: symbol
trades: (count qty)
notional: (sum (* price qty))})
Loading 100,000 rows
- Load100K rows
- Optimizerewrite DAG
- Filter60K match
- Group4 symbols
symboltradesnotional
NVDA15,0001,181,242,500
GOOG15,0001,191,143,000
AAPL15,0001,176,404,200
MSFT15,0001,185,774,600
Join the community
One execution model
Stop moving data
between engines.
Relational operators and graph traversals belong in the same plan. Rayforce sees the whole workload, rewrites it together, and keeps the hot path close to the metal.
Explore the execution pipeline ↗
01
Compose
Tables + graphs + rules
Lazy DAG
02
Optimize
Rewrite the whole plan
Multi-pass
03
Fuse
Remove intermediates
Bytecode
04
Execute
Stream cache-sized morsels
Parallel
16Klines of focused C
0external dependencies
IPCclient/server transport built in
MITlicensed and embeddable
Rayfall language
Ask complex questions.
Keep the syntax small.
Use Rayfall interactively, embed the C API, or connect through a growing set of client interfaces. Every surface reaches the same optimizer and execution core.
One engine, three surfaces
; Aggregate high-value flow, then traverse counterparties
(set flow
(select {from: trades
where: (> Notional 1000000)
by: Counterparty
Volume: (sum Notional)}))
(.graph.var-expand network flow 1 3)
EXAMPLE RESULT5 rows · optimized
CounterpartyDepthVolume
LYNX_02184.20M
ALPHA_17261.08M
NODE_08244.71M
FORT_04327.19M
EDGE_12312.42M
Built as one system
Small footprint.
Serious machinery.
Everything you need to move from raw columns to connected answers—without assembling a second platform around it.
[01
Columnar analytics
Vectorized filters, joins, groups, windows, pivots, and time-series primitives.
↗](https://rayforcedb.com/docs/queries/select/) [02
Native graph engine
CSR traversal, shortest paths, centrality, communities, WCO joins, and HNSW.
↗](https://rayforcedb.com/docs/graph/algorithms/) [03
Recursive Datalog
Express reachability and recursive relationships as rules compiled into the same DAG.
↗](https://rayforcedb.com/docs/guides/datalog/) [04
Storage that stays open
CSV, splayed and partitioned tables, memory maps, IPC, and block offloading.
↗](https://rayforcedb.com/docs/guides/storage/)
Rayforce in the wild
Built for real work,
not synthetic demos.
Rayforce is already part of production systems and open-source projects spanning trading, market connectivity, investment analytics, and risk.
Usage confirmed by the Rayforce project. Consumer names link to their public sites.
Rayforce Cloud Coming soon
The engine you can embed.
The platform you won’t have to operate.
We’re bringing Rayforce’s unified analytics and graph pipeline to a managed cloud experience—so teams can move from local prototype to production workload without rebuilding the data path.
RAYFORCE / CLOUDPREVIEW
Deployment
eu-westReady
QUERY SERVICEPreview
ENGINEManaged
Open at the core
Read every line.
Own every workload.
One codebase. One public header. No external runtime. Clone Rayforce, compile it, embed it, and keep control of your data path.
**—**GitHub stars
**—**forks
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