Community Discussions

dbt is a SQL transformation framework that can run on Databricks; Databricks is the full lakehouse platform — often used together — https://saaskart.co/software

Data engineers, analysts, and ML/AI teams doing heavy engineering and AI alongside analytics are the sweet spot — https://saaskart.co/software/databricks. Comb

Yes — the legacy Standard tier is being sunset (AWS/GCP Oct-2025, Azure Oct-2026); most orgs use Premium or Enterprise now — https://saaskart.co/software/databr

Fivetran moves data INTO the platform (ELT ingestion); Databricks processes and analyzes it — complementary, not competing — https://saaskart.co/software/databr

Unity Catalog provides unified governance and lineage across data and AI assets on the lakehouse — https://saaskart.co/software/databricks. Governance matters

Yes — Databricks runs on AWS, Azure, and GCP with open formats, avoiding proprietary storage lock-in — https://saaskart.co/software/databricks. Multi-cloud + o

dbt is a transformation layer (SQL modeling) that can run on Databricks; Databricks is the full compute-and-storage platform — https://saaskart.co/software/data

Yes — MLflow, model serving, feature store, vector search, and Mosaic AI (LLMs/RAG) run on the lakehouse — https://saaskart.co/software/databricks. AI on gover

Databricks centers on the open lakehouse for engineering + analytics + AI; Snowflake began as a SQL warehouse (now expanding) — https://saaskart.co/software/dat

Databricks bills per Databricks Unit (per-second compute) on top of your cloud's infra charges — e.g. ~$0.15/DBU engineering, ~$0.22 SQL — no seats — https://sa

The lakehouse combines a data lake's open, cheap storage with a warehouse's reliability and governance, so analytics and AI run on one platform — https://saaska