FluffyStack toolsJurisdictional exposure
Attributes
- Git Integrated
- Yes
Sub-services (3)
Repositories
Git-backed code repositories holding SQLX models, assertions, and operations
Workflow Executions
Scheduled or on-demand DAG runs that materialise models in BigQuery
Assertions (Data Tests)
Declarative data-quality tests that fail the pipeline on regression
Compliance & Certifications
This service is attested for the following frameworks. Always verify with the provider before relying on a specific compliance posture.
Where this runs
Sovereign regions (1)
- T-Systems Sovereign Cloud · FrankfurtT-Systems Sovereign Cloud powered by Google Cloud
Commercial regions (43)
Europe (13)
- Belgium
- Finland
- Paris
- Berlin
- Frankfurt
- Milan
- Turin
- Netherlands
- Warsaw
- Madrid
- Stockholm
- Zurich
- London
North America (12)
- Montréal
- Toronto
- Querétaro
- Northern Virginia
- Columbus
- Iowa
- Dallas
- Las Vegas
- Los Angeles
- South Carolina
- Salt Lake City
- Oregon
South America (2)
- São Paulo
- Santiago
Asia (10)
- Hong Kong
- Delhi
- Mumbai
- Jakarta
- Osaka
- Tokyo
- Singapore
- Seoul
- Taiwan
- Bangkok
Oceania (2)
- Melbourne
- Sydney
Middle East (3)
- Tel Aviv
- Doha
- Dammam
Africa (1)
- Johannesburg
Tags
Equivalent services on other platforms
Declarative ETL framework (formerly Delta Live Tables) for streaming and batch pipelines, built on Apache Spark Declarative Pipelines — define tables in SQL or Python and Databricks manages dependencies, retries, data-quality expectations and observability.
Declarative materialised tables with target lag scheduling — define a SELECT statement and Snowflake refreshes downstream tables automatically as inputs change