Cloud-native Fabric
Multi-cloud data mesh with native integrations across AWS, Azure, GCP, and private clouds.
- Automated workload placement
- Data residency controls
- End-to-end encryption
Datorth
Datorth connects your data fabric across clouds, warehouses, data lakes, and high-throughput streaming systems. Run machine intelligence and analytics in real time—moving from ingestion to insight with one unified control plane.
Autonomous scaling across Kafka, Pulsar, and cloud-native streams.
Lineage, quality scoring, and policy automation from ingestion to activation.
Unify batch, streaming, and AI services with an elastic control plane. Datorth abstracts complexity so teams can ship faster with confidence.
Multi-cloud data mesh with native integrations across AWS, Azure, GCP, and private clouds.
Stream processing engine optimized for sub-second analytics and machine learning feature delivery.
Policy-driven governance, lineage visualization, and compliance automation for regulated industries.
Deploy pipelines in minutes with Datorth Flow Studio. Design, simulate, and monitor streaming workloads with instant feedback.
Modernize legacy estates, accelerate AI adoption, and unlock cross-cloud data collaboration.
Power fraud detection, risk scoring, and personalized banking experiences with millisecond insights.
View details →Combine IoT telemetry, quality sensors, and supply chain signals for predictive operations.
View details →Activate customer 360, recommendation engines, and omni-channel marketing in real time.
View details →Secure data exchange, patient 360, and AI-driven triage across distributed systems.
View details →Leverage pre-built connectors, blueprints, and automated governance to deliver value in weeks—not quarters.
Streamline ingestion from operational databases, SaaS sources, and IoT devices with change-aware connectors.
Apply data contracts, track lineage, and auto-classify sensitive attributes with AI assistance.
Deliver curated data products to analytics, ML teams, and external partners with governed sharing.
"With Datorth, we unified petabytes of streaming and historical data, unlocking predictive intelligence across our network. Deployment cycles dropped from months to days."Lin Qiao — Chief Data Officer, Meridian Bank
Increase in time-sensitive insights delivered to front-line teams.
Tell us about your architecture. We’ll build a custom roadmap for cloud modernization, streaming, and AI.