
Kinetic Data Stream
The real data ingestion and event-driven processing layer for fast-moving data
Kinetic Data is a metadata-driven framework that treats data as a continuously moving, intelligently orchestrated asset- not a static resources.
The real data ingestion and event-driven processing layer for fast-moving data
The metadata-driven orchestrationengine for batch and micro-batch processing.
Kinetic Bridge was built to not just transfer data—but to enable Agentic AI orchestration, hyperautomation, and real-time action.
Built on BOSS Catalog for semantic consistency across all data assets.
Handles structured, semi-structured and unstructured data in one framework.
Role-based access control, PII masking, and coompliance-ready logging
Prepares datasets for RAG, analytics, and machine learning pipelines
Visual/YAML DAGs, medallion transforms, built‑in tests & DQ, retries/backfills, lineage, and one‑click env promotion.
Event & CDC pipelines for Kafka/Kinesis/Pulsar; schema registry, watermarking/windowing, late/dirty data handling.
Unified connectors for DBs, SaaS, files, APIs; OAuth/keys, rotating secrets, incremental syncs, schema evolution.
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