
One Framework: Batch + Real-Time
Orchestrate micro-batch and streaming with shared semantics—no parallel stacks, no duplication.
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
Kinetic Data is a metadata-driven framework that unifies batch and real-time pipelines into one coherent system. With Kinetic Flow, Kinetic Stream, Bridge, and Purity, it delivers reliable, governed, AI-ready datasets for Hyperautomation and Agentic AI—fast.
Orchestrate micro-batch and streaming with shared semantics—no parallel stacks, no duplication.
Seamless access to warehouses, lakes, apps, and APIs via Kinetic Bridge—unified, governed ingress/egress.
Kinetic Purity enforces validation, cleansing, lineage, and PII/RBAC—trusted data for analytics and RAG.
Metadata-driven design cuts boilerplate and manual orchestration—ship reliable pipelines in days, not months.
Kinetic Data — Move Data at the Speed of Business.
“Seamless Pipelines, Zero Headaches.”
Builds and manages complex data pipelines without manual coding or orchestration hassles.
“Real-Time Streaming Without the Lag.”
Enables real-time data streaming and event processing with minimal latency.
“The Easiest Way to Connect All Your Data Worlds.”
Connects disparate data systems and APIs seamlessly for unified data access.
“Cleansed, Trusted Data—Powered by AI.”
Applies AI-driven validation, cleansing, and standardization to improve data quality.
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