Datorth
The Datorth Platform abstracts the complexity of multi-cloud data engineering. Provision pipelines, enforce governance, and activate AI-ready data products with elastic orchestration that keeps pace with your business.
Autoscaling workloads across Spark, Flink, and SQL engines with real-time telemetry.
Federated sharing, contracts, and governance integrated end to end.
Compose the exact layers you need—from ingestion to activation—while Datorth manages infrastructure, security, and cross-cloud observability.
Deploy blueprints for ingestion, transformation, and activation with environment-aware configuration.
Correlate lineage, cost, and health metrics across data estates with a single telemetry fabric.
Embed policy, privacy, and trust into every stage without slowing delivery.
The Datorth control plane manages multi-cloud runtimes, letting teams choose the best execution layer while keeping governance and reliability consistent.
Each managed service layer is designed to help data teams build, run, and scale smarter.
Elastic compute for streaming and batch pipelines with workload-aware autoscaling.
See runtime details →Centralize data contracts, compliance policies, and fine-grained access entitlements.
Explore governance assets →Dashboards, alerts, and cost intelligence integrated with your observability stack.
View monitoring guides →Enable product teams to ship data apps rapidly through reusable service interfaces.
See API use cases →Our blueprint ensures every team can launch governed data products while Datorth handles security, upgrades, and site reliability.
Stand up dedicated data domains with isolated runtime, governance, and residency controls.
Standardize ingestion, transformation, and activation patterns that teams can deploy with one click.
Expose curated data products to analytics, AI, and partner ecosystems with policy enforcement baked in.
Schedule a strategy session with our architecture team to explore how the Datorth Platform can modernize your data estate.