Architecture comparison

Confluent vs Databricks

Databricks runs closer to the foundational model (Native (own / self-hosted weights)) than Confluent (Middleware / wrapper). No shared foundational model — different bets.

Confluent

Data Platform

Proximity

Middleware / wrapper

Models

middleware / wrappers

Cloud · datastore

Multi-CloudApache KafkaksqlDB

Compliance

SOC 2HIPAAPCI DSSISO 27001

Architecture

Managed Apache Kafka (Confluent Cloud) deployed across AWS/Azure/GCP with the Kora cloud-native engine; adds stream processing via Flink. Built around open Kafka with proprietary cloud tooling.

Databricks

Data Platform

Proximity

Native (own / self-hosted weights)

Models

proprietary / self-built modelsMeta · Llama

Cloud · datastore

Multi-CloudDelta Lake (Parquet on object storage)Apache Spark

Compliance

SOC 2HIPAAFedRAMPISO 27001

Architecture

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.

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