Native SAP Extraction

SAP Data, Unlocked.

425,000 companies run SAP. Their operational data — supply chains, procurement, manufacturing, finance — powers the next generation of analytics and AI. If it can get out.

10 million records. 30 columns. Under 15 minutes. Cross-network.
Then CDC takes over. That's not a benchmark — that's Tuesday.
How it works Strategic partnerships

The Problem

Current solutions don't scale.

SAP wasn't built for continuous data extraction. Existing tools either choke on volume, require months of custom development, or lock you into a single ecosystem.

OData / BTP
Rate-limited. Times out at scale. Can't handle bulk loads.
SLT
Real-time replication — but HANA-only. Another system to manage.
BODS / Informatica
Batch ETL. Custom development per project. No native change tracking.
Standard RFCs / BAPIs
Built for transactions, not extraction. Performance walls at scale.

The Solution

Native ABAP. One transport. Configure and go.

DataXover runs inside SAP — not middleware calling from outside. Direct access to the data dictionary, change documents, and key date fields. Bulk and delta extraction from a single platform.

Bulk Extraction

Seed tables with millions of records in minutes. Initial loads that would take months of BODS work happen before lunch.

Continuous CDC

Dual delta detection — change documents or key date fields, per table. Only what changed, when it changes.

Push-Based

Outbound only. No inbound firewall rules, no polling, no credentials stored outside your network.

Getting Started

Three steps to data flow.

No months-long implementation projects. No custom ABAP development. Configure profiles, activate, done.

1

Install Transport

Load the ABAP transport into your SAP landscape. Promote through your standard processes.

2

Deploy Engine

Lightweight VM wherever your target database lives. Handles connection and loading — that's it.

3

Configure & Activate

Define profiles — tables, fields, filters, schedule. Activate. Data flows.

425K
Companies run SAP
90%
Of Fortune 500
10+
Years in development
4
Deployment modes

Integration Modes

From internal analytics to multi-tenant platforms.

DataXover scales from single-company extraction to platform plays serving thousands of SAP customers.

1
Internal Integration
Extract your SAP data to your own analytics infrastructure. Snowflake, Databricks, BigQuery — your data, your destination.
2
Cross-Network
Move data across business units, subsidiaries, or cloud boundaries. Same company, different networks, secure transit.
3
Partner Sharing
Consent-based B2B data sharing. Your data flows to partners without exposing credentials on either side.
4
Multi-Tenant Platforms
Onboard thousands of SAP customers to shared infrastructure. AI, analytics, benchmarking — the platform play.
The Flywheel Effect
For platform providers: If your target customers already run DataXover, onboarding is trivial. Send an integration template, they accept, set filters, activate. Sub-minute onboarding at scale. No implementation project. No waiting on IT. Data flowing immediately.

Ready to talk?

We're open to strategic conversations with companies who can take this technology to market at scale.

Strategic partnerships