Data Platform · Multi-Cloud
Databricks
Lakehouse deployed into the customer's own cloud (AWS/Azure/GCP), built on open Spark + Delta Lake. Ships its own open model DBRX and the Mosaic AI training/serving stack.
Foundation proximity: Native (own / self-hosted weights)
Foundational models & how they consume them
PrimaryDBRX (own open model)· self-hosted · Native (own / self-hosted weights)
SecondaryLlama (open)· self-hosted · Native (own / self-hosted weights)
Cloud & datastore
Multi-CloudDelta Lake (Parquet on object storage)Apache SparkCompliance
SOC 2HIPAAFedRAMPISO 27001Similar companies
SnowflakeConfluentOthers that build on proprietary / self-built models
Abnormal SecurityAbridgeAdobeAI21 LabsAleph AlphaAmbienceExplore
FAQ
Does Databricks use a foundational AI model?
Databricks uses DBRX (own open model), Llama (open) (Native (own / self-hosted weights)).
What cloud does Databricks run on?
Databricks runs on Multi-Cloud.
What database does Databricks use?
Databricks uses Delta Lake (Parquet on object storage), Apache Spark.
How close does Databricks run to the foundational model?
Databricks is Native (own / self-hosted weights) — close to the metal, so cheaper tokens and more control over outputs.
Sources
databricks.com ↗Also on the map
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Architecture inferred from public sources · confidence high · verify before betting on a detail.