Product · Data engineering
ETL and orchestration, batch and streaming.
Build multi-task pipelines as DAGs with dependencies, retries and timeouts. Ingest from anywhere, transform with SQL or Spark, and orchestrate it all with full lineage and live logs.
Highlights
Multi-task DAGs
Declare dependencies and Polnor dispatches tasks in topological order.
Retries and timeouts
Per-task retry budgets and timeouts, with automatic skip propagation.
Batch and streaming
One model for scheduled batch and continuous ingestion.
Lineage captured
Every pipeline records the tables it read and wrote, automatically.
What you can do
Ingest from anywhere
Databases, files, streams and APIs into your lakehouse.
Transform at scale
SQL and Spark on elastic compute.
Orchestrate reliably
Retries, timeouts and a clean audit of every run.
More of the platform
Lakehouse & catalog
Open Apache Iceberg on your storage
Data warehousing
Serverless SQL warehouses, on demand
AI & machine learning
Train, fine-tune & serve. Hugging Face built in
Business intelligence
Dashboards & live analytics
Notebooks
Git-backed, collaborative, live kernels
Compute
GPU & CPU clusters on your cloud
Governance
Audit, lineage & quotas
Security & sovereignty
Encrypted, isolated, European-only
Bring your own cloud
OVHcloud & Scaleway, your account
Set a course
Request a
demo.
See your own Iceberg tables, warehouses and notebooks running on your European cloud, usually within a week.
hello@polnor.net · OVHcloud GRA9, France 🇫🇷