A shared development workspace
Give teams shared catalogs, reusable resources and AI-assisted SQL, CDC and ETL development.
Solution · Platform engineering
Give data teams a workspace.Keep production accountable.
Connect catalogs, AI, pipeline development and lakehouse systems in a shared workflow with permissions, publishing and operational visibility.
The platform mandate
Standardize delivery without limiting workloads.
Realfuture connects authoring to operations inside shared guardrails while keeping workloads and infrastructure portable.
Multi-cluster control
Operate YARN, Kubernetes, and dedicated runtimes through one control layer.
Governance in the workflow
Keep access, audit, environment policies, and operational history in the workflow.
Make context reusable
Use schemas, dependencies and runtime evidence across development, queries and AI diagnosis.
Responsibility model
Separate platform concerns from workload concerns.
Data teams own workload intent. Platform teams own standards, runtimes, and production control. Realfuture connects them.
Lifecycle areaData or application teamPlatform team with Realfuture
DevelopSQL, CDC, visual ETL or application logicCatalogs, AI access, reusable resources and validation
DeployRelease intent and workload configurationEnvironment policies, target placement, and controlled promotion
OperateWorkload outcomes and application contextFleet visibility, runtime standards, alerts, and recovery
GovernAppropriate access and change requestsRBAC, audit, ownership, and production conventions
Adoption path
Start where platform friction is highest.
Prove the model with one representative team and workload, then scale what works.
Identify repeated work
Map handoffs, scripts, runtime differences, and recurring incidents.
Define the shared workflow
Agree on team boundaries, lifecycle standards, and required controls.
Run a workload
Validate delivery, placement, visibility, and recovery end-to-end.
Extend intentionally
Onboard more workloads and clusters with the proven operating model.
Build a shared workflow for your lakehouse.
Connect a team, its data systems and one representative pipeline for evaluation.