Databricks Integration for ERP Systems: The Complete Guide
Why Connect ERP Systems Like SAP, NetSuite & Dynamics 365 to Databricks?
ERP systems hold some of your business’s most valuable operational and customer data, but tapping into it for AI and for integrated reporting and analytics can be a slow, resource-intensive effort.
By integrating ERP platforms like SAP, NetSuite, and Dynamics 365 into Databricks, you unlock a unified, scalable lakehouse architecture built for next-generation analytics, machine learning, and real-time decision-making.
But while the opportunity is massive, the reality is that most ERP data integration projects are delayed by custom code, brittle pipelines, and long development cycles. That’s where Matillion makes the difference.
TL;DR
Integrating SAP, NetSuite, and Dynamics 365 with Databricks enables scalable, AI-ready analytics, but ERP data is complex.
Databricks handles scale and performance; Matillion simplifies the integration with prebuilt connectors and ERP-aware pipelines.
Why ERP Integration Is So Complex
ERP systems weren’t built for integrated analytics. Their structures are optimized for transactional processing on data they manage, not for querying, transformation, or large-scale data science in a wider context.
SAP’s Structural Complexity
Decades of legacy data, highly customized ABAP code, and deeply intertwined modules make extraction slow and error-prone.
NetSuite’s Customization Challenges
Custom records, SuiteScript dependencies, and strict API rate limits make real-time or large-scale NetSuite integration tough without specialized tools.
Dynamics 365’s Cross-Platform Scope
With data spread across ERP and CRM workloads, integration requires careful modeling to maintain business logic and relational integrity.
Databricks Architecture Benefits for ERP Integration
Databricks’ lakehouse architecture is built to handle the scale, complexity, and latency-sensitive demands of ERP data workloads, from SAP to NetSuite to Dynamics 365.
Elastic Apache Spark Compute
Databricks runs on Apache Spark, allowing distributed compute across multiple worker nodes. This massively parallel processing (MPP) architecture enables fast, scalable transformations of high-volume ERP datasets.
Delta Lake Storage
ERP data is stored in Delta Lake, an ACID-compliant storage layer that supports versioning, schema evolution, and time travel. This is essential for regulated ERP data that changes frequently.
Columnar Format with Optimized I/O
Databricks uses Parquet as its default storage format, which is a columnar approach that optimizes disk I/O and speeds up analytics on wide ERP tables (think: invoices, orders, GL line items).
Auto Scaling Clusters
Clusters scale up or down based on workload, so finance teams, data analysts, and ML pipelines can run concurrently without manual tuning or delays during peak ERP usage.
Built-in Data Governance and Lineage
With Unity Catalog and Delta Sharing, you can enforce data access controls, trace ERP data lineage across pipelines, and confidently support audit and compliance needs.
Notebooks for Collaboration
Databricks notebooks make it easy for data engineers and analysts to collaborate on ERP data transformations, join logic, and reporting workflows in real-time.
Native AI/ML Tooling
Databricks seamlessly integrates with MLflow and popular frameworks (scikit-learn, XGBoost, TensorFlow), enabling teams to go from raw ERP data to predictive insights like forecasting and anomaly detection faster.
How Matillion Simplifies ERP Integration with Databricks
Matillion helps data teams move faster by replacing fragile, custom-built solutions with prebuilt, ERP-aware pipelines, fully optimized for Databricks’ Lakehouse architecture.
Purpose-Built for Each ERP System
SAP: Native RFC and ODP access, custom object handling, and multi-module support
NetSuite: SuiteTalk API orchestration, saved search enrichment, and custom field detection
Dynamics 365: Dataverse support, entity relationships, Power Platform integration
ACID compliance for pipeline reliability and data integrity
Time Travel and audit are built-in for historical queries and governance
ERP-Specific Integration Strategies for Databricks
SAP to Databricks Integration: Turning SAP Data into Business Insights
SAP is the operational backbone for thousands of enterprises, but its data is notoriously difficult to extract and trust. Connecting SAP to Databricks with Matillion transforms siloed, hard-to-reach data into a goldmine for financial, supply chain, and predictive use cases.
Architecture Overview
Support for ODP (Operational Data Provisioning) batch extraction, Netweaver RFC (Remote Function Calls), plus HANA and OData interfaces
Custom ABAP object support
Multi-region SAP instance consolidation
Common Use Cases
Unified financial reporting across SAP systems
Real-time supply chain visibility
Predictive maintenance with IoT and SAP PM
Inventory optimization using sales and logistics data
SAP is a powerful system, but its data structures weren’t built for integrated analytics. We've been excited to see how Matillion and Databricks are helping businesses quickly unlock valuable insights that were previously stuck in separate systems.
Ian FunnellData Engineering Advocate Lead| Matillion
NetSuite to Databricks: Scaling Financial & Operational Analytics
NetSuite helps fast-moving businesses manage financials and operations, but its APIs, scripts, and saved searches aren’t built for scale. With Matillion, you can bring NetSuite data into Databricks quickly and reliably, even with custom logic and complex entity structures.
What You Can Do
Handle API limits and SuiteScript logic gracefully
Consolidate financials across subsidiaries
Enhance NetSuite saved searches for Databricks
Enable customer lifetime value modeling and forecasting
We often see NetSuite environments with years of custom logic and saved searches. Matillion helps normalize that complexity so customers can model metrics like profitability and churn right in Databricks.
Ian FunnellData Engineering Advocate Lead| Matillion
Dynamics 365 to Databricks: Enabling Full-Funnel ERP & CRM Visibility
Dynamics 365 unifies CRM and ERP capabilities, but that cross-system integration often complicates reporting. With Matillion, teams can preserve entity relationships and streamline ingestion into Databricks for powerful, full-funnel business insights.
Integrated Capabilities
Retain entity relationships from CRM and ERP modules
Validate cross-system data consistency
Maintain Power Platform integrations
Support hybrid cloud deployments
High-Value Use Cases
Combine CRM pipeline with ERP fulfillment data
Build real-time dashboards for sales and finance leaders
Use service history to train AI for automated support
Improve sales forecasting with enriched capacity models
The real win with Dynamics is getting both CRM and ERP data into one place without losing relationships or context. That’s where Databricks really shines, and Matillion makes it possible.
Ian FunnellData Engineering Advocate Lead| Matillion
Build Reliable ERP Data Pipelines with Matillion and Databricks
ERP data powers critical operational insights and strategic decisions. Unlocking this data requires the right platform and integration approach.
Databricks’ scalable, unified lakehouse platform, paired with Matillion’s ERP-focused integration capabilities, delivers fast, efficient, and reliable ERP data pipelines. Together, they accelerate reporting, improve data quality, and prepare your business for AI-driven analytics.
Ready to streamline your SAP, NetSuite, or Dynamics 365 integration with Databricks? Book a demo to see how Matillion accelerates ERP data workflows and unlocks business value.
Matillion uses specialized connectors for each ERP platform, handling custom schemas, security, and API logic, then streams data directly into the Databricks Lakehouse.
Yes. Matillion supports both batch and streaming ingestion using Delta Live Tables, enabling near real-time analytics and alerts.
With Matillion, SAP-to-Databricks pipelines are typically production-ready in 4–8 weeks, compared to 6–12 months with traditional methods.
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