Data Integration Platform
Our platform is a free, open-source solution for seamless data integration with any third-party system. Leveraging versatile Import and Export modules, it enables fully automated data exchange via REST API, effortlessly connecting your ERP, CRM, e-commerce platforms, and more.
What is a Data Integration Platform?
Data integration platforms enable organizations to connect disparate data sources, transforming data from multiple formats into a consistent, accessible, and often real-time view that is essential for analysis, operational efficiency, and decision-making. An integration platform allows to connect different systems such as:
ERP systems (e.g. SAP, Oracle, Microsoft Dynamics),
E-commerce platforms (e.g. Shopify, WooCommerce, Adobe Commerce),
Marketplaces (e.g. Amazon, Otto, Walmart, Mercado Libre),
Product Information Management systems (e.g. AtroPIM, Salsify, InRiver),
Customer Relationship Management (CRM) systems (e.g. Salesforce, HubSpot, Pipedrive),
Warehouse Management Systems (e.g. SAP EWM, Oracle's WMS),
Bookkeeping Software (e.g. QuickBooks, Xero, FreshBooks),
Marketing Automation Platforms (e.g. Mailchimp, Marketo), etc.
Who Needs an Integration Platform and Why?
You need a data integration platform if your organization operates multiple systems that require seamless data exchange. Manufacturers, wholesalers and Retailers can benefit from a platform like AtroCore to streamline workflows, reduce manual errors, ensure data consistency, and automate these processes. Common use cases include:
Companies with Large System Landscapes - large organizations that collect data from multiple departments, sources, or applications (such as CRM, ERP, e-commerce, and marketing platforms) benefit from a unified data integration solution. These platforms enable the consolidation of data across systems, reducing silos and improving data accessibility.
Manufacturing and Supply Chain - manufacturers and logistics companies need integration between supply chain management, manufacturing, ERP, and inventory systems. Integrated data enables better demand forecasting, inventory management, and production scheduling, ultimately improving efficiency.
Examples: Synchronizing order information between partner systems, e-commerce platforms, and ERP systems.E-Commerce and Retail – for a seamless customer experience, organizations require consistent, accurate data across sales, support, logistics, and marketing channels. Data integration platforms streamline these flows, enabling real-time inventory updates, order tracking, and personalized interactions.
Examples:Syncing inventory across warehouses and e-commerce, automating order and shipping transfers between e-commerce platforms and fulfillment systems.
Key Features of the Data Integration Platforms
The features of the data integration platforms make them essential for managing today's data-rich environments by promoting seamless data connectivity, improving data quality, and providing a foundation for advanced analytics and business intelligence.
Automated/Manual Data Exchange
Before we begin planning, we organize a kickoff meeting with you to understand your business processes and specific requirements better. Based on this, we design a professional concept and initial project offer.
Unidirectional or Bidirectional Sync
You can choose between bilateral synchronization (two-way) to keep data updated across all systems, or unilateral synchronization (one-way), ideal when you only need to push or pull data from a specific system.
Event-Based and Time-Based Sync
Data synchronization can occur based on system events, like new orders or product updates, or on a pre-set schedule, such as hourly, daily, or weekly intervals, offering flexibility based on business needs.
Detailed Error Management
Platforms provide detailed logs and error tracking, ensuring that any failed synchronization jobs are automatically retried. Manual corrections and reprocessing are also supported, reducing downtime and data discrepancies.
Flexible Data Handling and Orchestration
The platform implements data quality checks to ensure accuracy, completeness, and consistency across datasets. It identifies and resolves issues such as duplicates, inconsistencies, or missing values, enhancing the reliability of data-driven decisions
100% Configurable Data Mapping and Transformations
Customize how data is structured and mapped between systems, ensuring that the fields and attributes align correctly, even when integrating with systems that have different data structures.
Data Quality Management
Integrates data quality checks to ensure accuracy, completeness, and consistency across data sets. Identifies and resolves issues in data, such as duplicates or missing values, which improves the reliability of data-driven decisions.
Unified Data Access and Centralization
Centralizes data into a unified platform, integrating information from multiple systems for improved analytics and reporting. Enables virtual data access, allowing users to view and query integrated data without physically relocating it.
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