DATA & AI · CLOUD

SAP DATABRICKS

ZPARTNER supports you in the implementation and operation of SAP DATABRICKS — from strategy to go-live.

SAP Databricks & SAP Snowflake

AI and Advanced Analytics Built on Semantic Enterprise Data

Leverage the power of Databricks and Snowflake directly on your SAP data products. Through integration with the SAP Business Data Cloud, semantics, governance, and data quality are preserved — for reliable AI models, modern analytics, and well-founded decisions.

🧠Preserve Semantics
⚡Increase Performance
🛡️Ensure Governance
🤖Leverage AI Successfully
📈Maximize Value Creation
SAP Databricks and SAP Snowflake integration with SAP Business Data Cloud

Semantics as the Foundation for AI Success

Semantic meaning is often lost when data is replicated or transformed across interfaces. The result: lower data quality, reduced interpretability, and unreliable AI outcomes.

SEMANTICS
LOST
→
SEMANTICS
RETAINED

Native Integration.
Maximum Value.

Access existing, semantically enriched data products in the SAP Business Data Cloud directly — without additional data copies.

SAP Business Data Cloud
SEMANTIC DATA PRODUCTS
SAP Databricks
Data Science & Machine Learning
SAP Snowflake
Data Engineering & Advanced Analytics
Consistent
Performant
Governed
Scalable

A Closed Analytics and AI Loop

Insights and AI results flow seamlessly back into SAP Datasphere and are available for reporting, planning, and operational processes.

SAP Business Data Cloud
SAP Databricks & SAP Snowflake
SAP Datasphere
Insights & AI Results
WHAT IS DATABRICKS?

The Open Lakehouse for SAP Data

Databricks combines the best of data warehouse and data lake in the lakehouse paradigm: ACID transactions on Delta Lake, native ML workflows with MLflow, and collaborative notebooks for data engineers and data scientists.

In the SAP context, Databricks and SAP Datasphere together enable a modern data platform — SAP data flows into the lakehouse, is enriched with ML, and becomes available for analytics and AI applications.

Delta LakeMLflowAutoMLUnity CatalogSAP IntegrationSpark SQLFeature Store
FEATURES & BENEFITS

Databricks in the SAP Context

Open AI platform, deeply integrated into the SAP data landscape.

LAKE
Delta Lakehouse
ACID transactions on open Delta files combine the reliability of a data warehouse with the flexibility of a data lake — scalable and cost-efficient.
ML
ML & AutoML
MLflow for experiment tracking, AutoML for rapid model development, and feature stores for reusable ML artifacts — all on a single platform.
SAP
SAP Datasphere Integration
Native connection between Databricks and SAP Datasphere: enrich SAP data in the lakehouse and bring it back into the semantic layer as a data product.
GOV
Unity Catalog
Central data management, lineage tracking, and access control across all Databricks workspaces — a single governance layer for the entire lakehouse.
ENG
Data Engineering at Scale
Apache Spark, Delta Live Tables, and SQL Warehouses for large data volumes — from raw data processing to the analytical data product.
PB
Scaling
Petabyte-Capable Platform
1
Lakehouse
DWH + Data Lake + ML
MLflow
Experiment Tracking
Reproducible & Versioned
100%
Open Source Foundation
No Vendor Lock-in

Databricks + SAP — Your Advantage?

ZPARTNER combines SAP expertise with Databricks know-how and designs a modern, AI-capable data platform with you — from architecture to your first production ML model.

+ SAP Certified Partner + No Obligation & Free + Response Within 24h
×