DAG orchestration
Declarative pipelines with dependency graphs, backfills, and partitioned runs across Spark, Ray, and containerized jobs.
Quorumstack is the control plane between your data warehouse, feature store, and model endpoints — orchestration, lineage, drift gates, and GPU cost policies built for production ML, not notebook experiments.
Primitives your data team needs above generic schedulers — without standing up a custom internal platform.
Declarative pipelines with dependency graphs, backfills, and partitioned runs across Spark, Ray, and containerized jobs.
Online/offline consistency, point-in-time joins, TTL policies, and schema evolution without breaking training sets.
Versioned artifacts, canary deploys to Kubernetes, SageMaker, or custom inference clusters with automated rollback.
End-to-end audit trails, statistical quality gates, and per-team GPU budgets that keep training spend predictable.
Coordinate jobs in your cloud accounts. Training data and model weights never leave your environment.
Snowflake · BigQuery · Databricks · S3 · Kafka
Kubernetes · ECS · Ray · Spark on EMR
PyTorch · TensorFlow · ONNX · Hugging Face
Datadog · Grafana · OpenTelemetry · PagerDuty
"We migrated our fraud retrain loop in three weeks. Lineage exports alone saved us two compliance review cycles."
"GPU cost policies caught a runaway training job before finance did. That paid for the contract in month one."
Helix Commerce · Northline Data · Pacific Ledger · Stratus Health · Vector Rail
$2,800/mo
Custom
We add ML-native primitives — feature sync, registry promotion, drift gates, GPU policies. Many teams keep Airflow for ETL and Quorumstack for the ML layer.
No. The control plane coordinates jobs in your cloud. Training data and weights stay in your VPC.
1201 3rd Ave, Suite 2200, Seattle, WA 98101. contact@quorumstack.com
Forty-five minute session with a solutions engineer. Bring your stack diagram — we map integration points live.
contact@quorumstack.com