Platform architecture
Three fabrics, two foundations and one governed plane.
DataByte
One governed platform for the entire data journey across the systems you already run, on-prem or cloud. Ingestion, transformation, ML and APIs on a single platform. The data layer that makes every AI trustworthy.
What it does.
One integrated platform for data engineering, ML, APIs and operations. The same architecture runs batch, change data capture, streaming, forecasting and governance, whatever mix the operation needs, with governance built in from day one.
- 2,000+ connectors
- Real-time pipelines
- ML Studio + Forecaster
- Smart Governance
- Data Catalog
- Lineage
- PII classification
Ingestion, transformation, ML and APIs on a single platform
Smart Governance across SLA, monitoring, actions, rules and traceability
Catalog, lineage and PII classification across the estate
Runs against the systems already in place, on-prem or cloud
Move, shape, model, serve, govern
The data journey, end to end.
Move.
Ingestion three ways: batch, change data capture (log, query and trigger-based) and streaming, all governed by the same catalog and access control from the moment data lands.
Shape.
A visual no-code canvas for Spark transformation pipelines plus a notebook surface, one engine across batch, streaming and on-demand, auto-scaled on Kubernetes.
Model.
ML Studio, Forecaster and Anomaly Detector cover the full lifecycle: AutoML, drift detection, and one-click deployment to a REST endpoint.
Serve.
Any SQL or NoSQL source becomes a versioned, secured REST API with rate limits and auto-generated documentation.
Govern.
The SMART framework, SLA, Monitoring, Actions, Rules, Traceability, is embedded in every module, with automated PII tagging in the catalog and Sherlock closing the loop with autonomous remediation.
In the operation.
How it fits.
DataByte is part of the VisionWaves platform: it runs under the same governed plane as every other part of the platform, and serves as its Data Intelligence Foundation.
Governance
Every action carries authority, evidence and a rollback path.
Platform facts
Built for the environment.
2,000+ connectors across databases, warehouses, cloud storage, streaming, SaaS, BI and file formats
One data model, one catalog, one security model across every module
Container-native pipelines auto-scaled on Kubernetes
Change data capture: log, query and trigger-based
Automated PII tagging and classification in the catalog
A growing library of AI agents embedded in the platform, answering over live data in plain language
Start with a Proof of Value.
Run VisionWaves against a real operational problem, with exit criteria agreed before the engagement starts.