Unify Azure and Multi-Cloud Data and AI Orchestration

Orchestrate Azure Data Factory, Databricks, Functions, Fabric, Synapse, Azure AI Foundry, and other Azure data and AI services, alongside selected AWS and Google Cloud services, from a single metadata-driven control plane.

Polysync provides data pipeline, ETL orchestration, and AI orchestration for teams managing schedules, dependencies, retries, monitoring, and governance across multiple platforms.

Modern data teams often rely on scripts, webhooks, custom dashboards, and manual runbooks to coordinate pipelines across tools. Polysync helps replace that hidden orchestration layer with one governed workspace.

Why Polysync

• Connect work across platforms: coordinate pipelines, notebooks, functions, APIs, cloud services, and AI workflows with visual dependencies and controlled handoffs.
• Reuse metadata-driven logic: discover jobs, import parameters, apply defaults, and create reusable task blueprints.
• Operate from one control plane: centralize schedules, manual runs, retries, concurrency, rate limits, monitoring, and execution history.
• Reduce hidden engineering cost: reduce the glue code, scripts, dashboards, and retry tools needed to coordinate work across platforms.

Built for Production Operations

Polysync supports built-in retry and backoff policies, task-level concurrency, global and platform-level workload limits, resource contention controls, centralized monitoring, detailed run history, manual retry, execution analytics, and connectivity diagnostics with setup guidance.

Secure by Design

Polysync includes Microsoft Entra ID single sign-on, role-based access control, tenant-isolated configuration and execution history, vault-backed credentials, runtime parameters, Azure-native security integrations, and grounded Copilot support that confirms before taking configuration actions.

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Connect your first platform, automatically discover and import existing jobs, then orchestrate and run your first workflow in minutes.