With SAP solutions handling 77% of the world’s business transactions, the data they host is a potential goldmine for powering analytics, AI, and digital transformation. But 96% of customers struggle to get that data out and move it into their CRMs, HCMs, BI platforms, and other tools where it can be put to good use.
The headaches around licensing and cost will be familiar to anyone who has tried SAP data extraction. SAP’s proprietary coding language, Advanced Business Application Programming (ABAP), requires specialized developers who are scarce and expensive to hire. And while SAP provides tools and interfaces for data migration, there is no one-size-fits-all approach because every organization’s setup is different.
Meanwhile, the need to resolve these challenges is becoming urgent. New AI initiatives rely on clean, accessible data from every corner of the business, but 53% of organizations find their efforts blocked by legacy data and applications. What’s more, the looming 2027 end-of-support deadline for SAP ECC, BW, and PI/PO is forcing a once-in-a-generation re-platforming to S/4HANA.
So what’s the best way to set your SAP data free? Read on to find out how SAP data extraction tools let you enrich your data pipelines, analytics, and AI without employing a team of ABAP experts.
What Are SAP Data Extraction Tools?
SAP data extraction tools move information out of SAP systems and into the places where you and your team can make better use of it, including data warehouses, data lakes, analytics platforms, and AI models.
This typically involves an extract, transform, and load (ETL) process, or its newer cousin, extract, load, and transform (ELT). In a nutshell, data is pulled from SAP, reshaped to fit the target system, and delivered to wherever it needs to go.
What makes SAP extraction different from ordinary data movement is the sheer complexity of the source. SAP systems hold data across many object types: tables, function modules, BAPIs, BW extractors, IDocs, and CDS views. Each requires a different approach, and the scope grows quickly when you factor in the variety of downstream destinations.
SAP systems expose data through several technical frameworks:
- Operational Data Provisioning (ODP) standardizes how data gets distributed to external systems and supports incremental updates to reduce system load.
- DataSources act as a standard interface for data warehousing, defining which data can be accessed and transferred.
- OData services take a different approach, exposing data through REST-style APIs so that modern web and cloud applications can query SAP directly.
- Change Data Capture (CDC) tracks changes in near real time, keeping downstream systems current without the overhead of full data refreshes.
Categories of SAP Data Extraction Tools
On the native side, SAP gives you several options, each with a fairly specific job:
- Data Retention Tool (DART): Built for compliance and auditing, DART pulls financial and tax data so auditors can work with historical records without touching the production system.
- SAP Data Intelligence and SAP Data Services (BODS): For broader ETL workflows, these move data from SAP into warehouses and analytics environments and support both batch and near-real-time processing.
- SAP Landscape Transformation (SLT): The go-to if you need continuous replication. SLT copies changes from SAP source systems on an ongoing basis to keep downstream environments synchronized.
- SAP Migration Cockpit: For organizations making the jump from ECC to S/4HANA, this handles the mapping and migration of data between environments.
However, 82% of organizations need to support SAP-to-non-SAP integration, and 78% manage hybrid cloud-to-on-premises scenarios, so for most organizations SAP is just one piece of a larger integration puzzle.
The practical response is what the industry calls a composable ERP strategy: SAP stays at the operational core, but purpose-built applications handle CRM, HR, supply chain, and analytics where they do the job better. The pipeline’s job is to tie all of those pieces together reliably. That calls for a modular architecture with three layers.
At the source, the pipeline must cover every vector of how SAP exposes data, including tables, CDS views, function modules, BW extractors, and IDocs, because a connector limited to one object type will leave gaps when requirements change. In the middle, an integration engine manages extraction, transformation, and routing across both batch and real-time workloads without requiring two separate toolchains. And at the destination, it needs to deliver to whichever cloud warehouse or lake the business requires without being locked to any single one.
That’s why third-party integration platform as a service (iPaaS) solutions like Boomi deliver native SAP connectors alongside connectivity to hundreds of other applications, but we’ll look at these in more detail later in this article. First, let’s see what SAP data extraction tools can do for your business.
Enterprise Use Cases for SAP Data Extraction
SAP sits at the center of your enterprise, handling cash flows, materials, partners, and customers. Here’s how SAP data extraction tools earn their keep in the real world by helping that data flow in real time across your systems:
- Real-Time Order-to-Cash Automation: Real-time extraction captures online orders the moment they are placed, validates the data, and pushes it directly into SAP’s Sales Order module, doing away with batch delays and reducing fulfillment errors.
- Faster Supplier Onboarding: Data submitted through web portals can be validated against business rules and automatically plugged into SAP Materials Management, cutting a process that once took a month down to mere days.
- Automated Invoice Reconciliation: When a platform can collect invoices in multiple formats (EDIFACT, XML, CSV), normalize them, and match them against SAP accounts payable records to flag up mismatches or duplicates, invoice reconciliation becomes far more manageable.
- Master Data Synchronization Across Systems: Keep CRM, marketing, ecommerce, and BI systems in lockstep with SAP by capturing changes in real time and distributing updates across all connected systems.
- SAP-to-Cloud Analytics Pipelines: Feed transactional data from S/4HANA into platforms like Snowflake, Tableau, and Power BI to supply business users with the self-service insights they need whenever and wherever they need them.
- Inventory Alerts for Field Teams: For distribution companies, automated inventory alerts can monitor SAP stock levels and push notifications to field reps when supply drops below a threshold.
- IoT Integration for Predictive Maintenance: In the Internet of Things (IoT) space, connecting sensor data with SAP enables predictive maintenance and real-time supply chain visibility, turning raw device telemetry into something operations teams can readily act on.
- Fuel AI and Analytics with Trusted Data: For AI models, bad data in means bad answers out. When SAP data is unlocked and combined with non-SAP sources in real time, organizations can do things like using AI agents that analyze billions of data points daily to predict supply chain disruptions, or let finance teams ask complex questions about financial data in plain language. In both cases, what used to take weeks of integration work now takes minutes, turning SAP from a data silo into a center for enterprise-wide intelligence.
How Boomi for SAP Simplifies Data Extraction
Boomi’s SAP data extraction solution is an SAP-certified add-on that connects natively to SAP’s application layer, working through SAP’s own business logic rather than bypassing it at the database level. This design avoids licensing complications, preserves business metadata, and keeps the SAP core clean.
Boomi’s low-code approach reduces integration time and effort by 40% compared to traditional methods. Instead of writing ABAP code, users work with a visual, drag-and-drop interface called a Table Service. A functional analyst with the right SAP permissions can drag required tables onto a canvas, select only the specific fields needed, and create joins between tables with a few clicks, all without writing a single line of code.
Boomi for SAP also offers a suite of capabilities built around enterprise-scale data movement:
- Table Service Extract handles large datasets through multi-threaded batching, enabling fast replication and scheduled synchronization.
- SAP Events automatically tracks and syncs data changes across connected systems in real time.
- Built-in Change Data Capture (CDC) monitors changes in SAP ECC, S/4HANA, and BW in near real time.
- Schema-aware transformation converts raw SAP tabular data into JSON format for reliable transfers.
- Enterprise features like deduplication, stream checkpointing, and audit logging come standard.
- The platform meets enterprise security standards including SOC II, GDPR, ISO 27001, and HIPAA compliance.
Abudawood, a fast-moving consumer goods company spanning the Middle East, Europe, and North America, chose Boomi to connect its fragmented business systems. SAP data processing was cut from two weeks to two hours, operational efficiency improved by 25%, integration costs fell by 30%, and partner onboarding time was slashed by 75% from one month to two days.
“Boomi has been the cornerstone in fueling our growth, allowing us to seamlessly onboard partners and integrate with them much, much faster, ensuring smooth transitions with no disruptions,” says Sami Tabbara, General Manager, Abudawood Logistics.
Connect SAP to Everything With Boomi
Selecting the right SAP data extraction tools shapes how fast your organization can move, how trustworthy your analytics will be, and whether your AI initiatives succeed or stall. The sooner your SAP data is connected to the rest of your stack, the sooner it starts earning its keep.
What matters most is finding an approach that fits your environment, respects the complexity of SAP data, and doesn’t saddle you with yet another rigid technology dependency.
Boomi for SAP offers a path that is native to SAP’s application layer, requires no ABAP coding, and includes built-in CDC for real-time data movement. Connect your SAP to any cloud data warehouse, analytics platform, or AI model, with the security, scalability, and flexibility that enterprise teams need.
Learn how Boomi for SAP can transform your data pipeline strategy.