A durable event core
A Rust-native foundation targeting a tested subset of Kafka compatibility, with a shared append-only event history.
OPEN-SOURCE VISION REAL-TIME DATA, REIMAGINED
Events move fast.
Stay in the know.
9 Sigma is building a developer-first platform to stream, understand, and put real-time data to work—without stitching the story together across tools.
EARLY-STAGE PROJECT / BUILDING IN THE OPEN
THE EVENT JOURNEYCONCEPT / 001
THE STREAMING CORE
↗
PRODUCEEvents in motion
◉
INSPECTSee the full picture
↻
REPLAYExplore safely
▥
ANALYSEData to insight
EVENTS → UNDERSTANDING → ACTION✳
BUILT WITH RUST✳OPEN-SOURCE CORE✳DEVELOPER FIRST✳ANALYTICS READY VISION
01 / THE OPPORTUNITY
The data is moving.
The answers should too.
Real-time data doesn’t travel through just one tool. Developers often piece together streaming, queues, debugging, schema management, and analytics before they can understand what happened.
9 Sigma’s goal is a more connected workflow: a shared event history with tools that make the movement and state of data easier to see, explain, and act on.
Read our product thinking ↗02 / PLATFORM VISION
One foundation.
A clearer path forward.
From the first event to the next insight, 9 Sigma is designed to bring the pieces closer together.
Streams and work queues
Independent broadcast and work-queue state on the same event history, designed for different ways of consuming data.
PLANNEDUnderstand what happened
Inspection, diagnostics, and bounded replay previews to help developers investigate safely.
PLANNEDFrom streams to analytics
Future materialisation into Iceberg, DuckLake, and MotherDuck, alongside schema and contract tools.
COMMERCIAL VISIONPlatform capabilities above describe the product vision. The current implementation is an early storage prototype.
03 / THE WORKFLOW
Follow the event.
Find the answer.
Our first product hypothesis is simple: make it easier to understand an event from the moment it enters the system.
01
Produce
Applications send events to a shared log.
02
Inspect
Developers explore history and understand subscription state.
03
Replay safely
Preview events without changing live consumer state.
04
Materialise
Move durable event data toward analytical destinations.
EVENT STREAM
ILLUSTRATIVE CONCEPTorders ↗
OFFSETEVENTSTATE
0042order.created● Available
0043payment.received● Available
0044order.fulfilled● Available
✳
A clearer view of your data
Inspect the event journey and explore what comes next.
Illustrative workflow and interface; not a screenshot of an available product.
04 / THE ROAD AHEAD
Build carefully.
Think much bigger.
We are sequencing the work around real evidence, with each stage building on the one before it.
A trustworthy core
Rust workspace, local storage prototypes, checkpoint recovery, fault tests, and Linux-based verification.
CURRENT WORKA usable event platform
A tested Kafka subset, independent subscriptions and work queues, a CLI, diagnostics, and safe replay preview.
PLANNED MVPReady for more
Client compatibility, operational testing, security, replication, and object-storage tiering as separately reviewed stages.
FUTUREFrom events to insight
Schema contracts, Iceberg and DuckLake materialisation, analytics destinations, and managed deployment.
FUTURE / COMMERCIALSequence is directional, not a delivery commitment. Capabilities require validation and approval.
05 / BUILT IN THE OPEN
Open at the core.
Room to grow.
We believe infrastructure earns trust through transparency. The streaming foundation is being developed in the open; paid schema and analytics products are planned separately.
Explore the open-source work ↗PROJECT STATUS
Early foundation.
Long-term ambition.
The current repository contains experimental storage and recovery work. It is not yet a production broker or a claim of Kafka interoperability.
LET’S BUILD WHAT’S NEXT
Make sense of
every event.
9 Sigma is at the beginning. Follow the journey and explore the ideas shaping a clearer real-time data platform.
Follow on GitHub ↗