Security
AnyLog nodes can run inside your firewall, keeping data at its source. Nodes communicate through authenticated, encrypted P2P connections, and each node enforces its own access policies.
AnyLog Edge Data Fabric
One distributed data and ontology layer across your industrial operations
Deploy AnyLog at the edge to give applications and AI unified, real-time access to operational data, metadata, and relationships across machines, plants, and sites — without first moving or centralizing the data.
Why it fits
Your data stays under your control
AnyLog nodes can run inside your firewall and enforce access policies locally. The P2P network makes data across sites available to authorized users and applications without moving raw data into a central platform. You decide where the data lives and who can query it.
Data ownership
You keep the bits, the IP, and the topology. Partners and models get access to answers, not custody of the source. The operator owns the data for as long as it exists.
Data privacy
Plant operations, municipal telemetry, and customer operations never have to leave the premises to be useful. Privacy is enforced by location, not by hoping a cloud contract holds.
What you deploy
Software agents that run where your data lives
AnyLog agents sit on the factory floor, in a substation, on a vehicle, or in on-prem servers. They connect sources, publish metadata, and join a peer network that answers queries as if the data were centralized. First use case in days. Expand without copying the plant to the cloud.
- Deployment measured in days — start with one machine, line, or plant
- Auto-generated Distributed UNS and Edge Knowledge Graph
- Scale horizontally and incrementally as deployments expand
Time to value
Deployment measured in days
Move from one use case to a scalable, multi-site deployment through four simple steps.
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01
Deploy AnyLog
Run AnyLog agents on existing edge devices and servers. Data is stored and processed locally.
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02
Connect your data
Use AnyLog’s southbound connectors for PLCs, sensors, MQTT brokers, historians, databases, and APIs.
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03
Define the UNS logically
Define any number of logical namespaces by asset, location, or relationship—without routing or centralizing the data through a broker.
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04
Scale horizontally across sites
Repeat Step 1 to expand. Each new node joins the same logical system without rebuilding applications or central pipelines.
Knowledge graph
Bring the Knowledge Graph to the production floor
AnyLog combines a Unified Namespace (UNS) with a Distributed Knowledge Graph, so applications and AI understand not only the values, but how assets, processes, locations, and systems relate to each other.
A live Knowledge Graph across your production environment
Same distributed operational data
PLCs · historians · MQTT · edge stores — still at the source
Multiple UNS views, same stores
Production UNS
Maintenance UNS
Energy UNS
Quality UNS
Manufacturer UNS
Management UNS
Knowledge Graph
Map the relationships between assets, processes, locations, and systems, while the underlying data stays in place.
Aggregate in place, then choose the view
Sum bottles capped on each line and cases ready to ship across plants — one query, no warehouse copy.
Use the knowledge graph and the UNS to define different views of that same data: by line, plant, process, or role.
Who uses it
AI agents
Applications
Operators
Management
Rules Engines
Compliance
Watch
AnyLog Explained and field demos.
AnyLog Explained
Why distributed operational data needs a fabric — and what AnyLog changes.
SQL through a single system image
Monitor distributed infrastructure and run SQL as if the edge were one system.
Unified Namespace and knowledge graph
A unified namespace and knowledge graph without a central broker.
A complete view for AI agents
How AnyLog gives AI agents a complete view of distributed infrastructure.
Sabetha product demo
A live walkthrough of AnyLog in the field, including the Sabetha deployment.
Editions
Open source or enterprise
Free
Linux Foundation / EdgeLake
Start on the virtual edge layer with the community distribution.
- Distributed edge node deployments and monitoring
- Policy-driven data ingestion and management
- Unified SQL, REST, and CLI access
- Built-in IoT and protocol connectors (e.g., REST, MQTT, Kafka, Modbus, OPC-UA, DNP3, and more)
Subscription
AnyLog Enterprise
Production hardening, HA, security, and a team that has deployed this in the field.
- Everything in the Open Distribution
- Distributed Unified Namespaces (UNS)
- Edge-based Knowledge Graphs
- GUI for exploring data, UNS, and Knowledge Graphs across the edge
- MCP integration
- Extended IoT connectors (e.g., MQTT TLS, MQTT websockets, REST TLS, DNP3 TLS, and more)
- Advanced aggregations
- Security protocols
- High availability
- Test suites and training
- Technical support
Research
Architecture grounded in published systems work.
AnyLog: A Grand Unification of the Internet of Things
CIDR 2020 — Shadmon, Abadi, Arden, Nawab. The founding vision for a decentralized platform to publish and query structured IoT data.
The Tipping Point of Edge-Cloud Data Management
CIDR 2024 — Shadmon & Nawab. What it takes to virtualize data and resources across a live worldwide edge.
Next step
Experience the fabric on your own edge.
Download the software or talk through a deployment with an engineer.