Simplify Data Management
The domain-centric data managment platform
See domain health, cross-domain impact, and failure alerts — without building custom dashboards. A production-grade data platform with a web IDE, a native scheduler, 40+ pre-built domain metrics, and column-level lineage out of the box.
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One Platform for Every Data Role
Built for the people who run your data domains
Ship data models without living in the CLI
Write, test, and deploy data models through a web IDE designed for analytics engineers. Domain-level lineage and cross-domain impact are one click away — no more guessing what downstream models break when you rename a column.
Find the right dataset, fast
Browse domains, layers, and tables in a catalog built for SQL-first analysts. See freshness, ownership, and lineage at a glance — and run ad-hoc queries from the same interface, with no CLI required.
One platform for orchestration and observability
A native PostgreSQL-based scheduler replaces Airflow for your data workloads, with unified monitoring of runs, models, and domains. Stop stitching together DAGs, dashboards, and transformation projects across three different tools.
Pipeline reliability, in one dashboard
Triage failed runs, manage backfills, configure alerting rules, and promote environments from a single operations console. No more switching between Airflow, PagerDuty, Grafana, and CI scripts to resolve one incident.
Own your domain with real SLAs
Get a pre-built domain health scorecard — SLA compliance, freshness, contract violations, cross-domain consumers — out of the box. Manage data contracts and approve access without rebuilding dashboards every quarter.
Govern metadata across hundreds of tables
Bulk-edit table and column metadata, classify sensitive data, and keep the business glossary linked to actual lineage. Documentation stops drifting from reality because it lives in the same place as the models.
Plug an AI agent straight into your data domains
Connect Claude, ChatGPT, or your in-house copilot to dmp-cloud over MCP. Agents can query domains in natural language, traverse lineage, surface failed runs, and answer questions about freshness or ownership — all through the same scope-aware permissions your humans use.
The Features That Make Domain Ownership Real
Production-grade data operations, with the right level of abstraction
Analyst-Friendly Web IDE
Replace the CLI with a browser-based development experience. File explorer, code editor, model metadata side panel, and live previews — all designed so analysts can build and ship data models without learning Git, Docker, or the terminal.
Pre-Built Domain Metrics
40+ domain health indicators ship out of the box: freshness, SLA compliance, test coverage, run success rate, cross-domain impact. Building these yourself takes 40+ engineering hours per metric — we hand them to you on day one.
Native Scheduler
A PostgreSQL-based scheduler built into the platform — no Airflow, no Dagster, no external orchestrator to run. Schedules live in project settings, run history is unified with model lineage, and there’s nothing extra for your team to operate.
Column-Level Lineage
Single-model, multi-model, and column-level lineage views powered by ReactFlow. Trace any column back to its source, see every downstream consumer, and run impact analysis before you ship a breaking change.
Multi-Tenant Workspaces & RBAC
Three-scope architecture (org / workspace / project), scope-aware RBAC, SSO via better-auth, and short-lived JWT sessions. Built for SaaS economics from day one — and equally suited to running multiple isolated teams inside one company.
Snowflake, BigQuery, Postgres, Redshift — and the warehouse you have today
Works with the data stack you already run
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How dmp-cloud Comes Together
One platform, three foundations
Platform Core — workspaces, auth, and the web shell
Data Engineer Platform — scheduler, metrics, and run observability
Data Catalog & Lineage — discovery from domain down to column
Domain-Centric Data Operations