Batch vs Real-Time Sync for Business Central eCommerce Integrations: Which Integration Architecture Is Best?
3 min read ● Silk Team
Batch Synchronization
Batch synchronization is a data transfer methodology in which data is exchanged between systems at predetermined intervals. The information is not transferred instantly; instead, systems send and receive information at a specified frequency.
There are two common ways to perform batch synchronization.
- Fixed Schedule – This method uses a predefined time interval to update data. For example, you could run a job that updates inventory levels every hour, or schedule a nightly job to import new products into your catalog.
- Variable Schedule – This approach allows updates to occur as needed rather than on a fixed timeline. For example, if you want to ensure that new products are imported as soon as they are added to your ERP system, you could trigger synchronization whenever new data appears.
Advantages Of Batch Synchronization
- Reduced System Load – Because data updates occur periodically rather than continuously, systems experience less strain. This can improve overall system performance.
- Simpler Implementation – Batch synchronization is usually easier to implement than real-time synchronization. It simply requires running scheduled jobs to update data rather than building systems that monitor changes continuously.
- Cost Effective – Sending updates less frequently can reduce API usage, network bandwidth consumption, and infrastructure costs.
- Ideal For Large Data Sets – Batch synchronization is well suited for importing large volumes of data at once. For example, importing thousands of product records into a catalog is typically best handled through batch processing.
Disadvantages Of Batch Synchronization
- Delayed Updates – There will always be a delay between when data changes in one system and when it appears in another. The delay depends on the batch cycle time.
- Outdated Information – Rapidly changing data, such as inventory levels, may become outdated until the next batch cycle runs.
- Overselling Risk – If inventory changes quickly and synchronization is delayed, customers may purchase products that are no longer available.
- Slower Response Time – Because systems are not communicating continuously, it may take longer to process requests or reflect updates across systems.
Real-Time Synchronization
Real-time synchronization is a data transfer methodology in which data is exchanged between systems immediately when a change occurs. There is little to no delay between when data changes in one system and when it appears in another.
There are two primary approaches to implementing real-time synchronization.
- Continuous Polling – Systems constantly check whether data has changed. When a change is detected, the latest version of the data is retrieved. This method is relatively easy to implement but can place significant load on systems with high transaction volumes.
- Event-Based Synchronization – Systems use triggers or events to push updates automatically whenever a change occurs. For example, when an order is created in an ERP system, an event can immediately send the order information to the eCommerce platform. This method reduces system load compared to polling but may require more complex implementation.
Advantages Of Real-Time Synchronization
- Immediate Inventory Updates – Inventory levels accurately reflect what is currently available.
- Faster Order Processing – Orders move quickly through systems without waiting for batch cycles.
- Improved Customer Experience – Customers receive accurate and up-to-date information regarding pricing, availability, and order status.
- Enhanced Operational Visibility – Internal teams have access to consistent data across systems at the same time.
- Multi-Channel Commerce Support – Real-time synchronization ensures that all selling channels remain synchronized.
Disadvantages Of Real-Time Synchronization
- Increased Pressure On Systems – Continuous updates can create heavy system loads, particularly with high transaction volumes.
- Higher API Usage – Frequent API calls can increase operational costs.
- More Complex Implementation – Real-time integration requires systems capable of detecting and processing changes instantly.
- Requires More Expertise – Implementing real-time synchronization often demands advanced technical expertise.
- Error Recovery Is Critical – Because data is constantly moving between systems, strong monitoring and error recovery mechanisms are essential.
Choosing Between Batch And Real-Time Synchronization
The decision to use batch synchronization or real-time synchronization depends on the operational needs of a business. Each approach offers benefits depending on the situation.
Batch Synchronization Is Often Best For Businesses With
- Low transaction volumes
- Stable inventory levels
- Simple pricing structures
- Non-critical data updates such as product descriptions or marketing content
Real-Time Synchronization Is Often Best For Businesses With
- High order volumes
- Rapidly changing inventory levels
- Complex pricing models including contract pricing or tiered pricing
- Multi-channel commerce environments
Hybrid Synchronization Strategies
Many organizations find that using a combination of batch and real-time synchronization provides the most effective integration strategy. This approach is commonly referred to as a hybrid synchronization model.
In a hybrid model, critical data such as inventory levels and order processing may be synchronized in real time, while less time-sensitive information—such as product descriptions or large catalog updates—can be handled through batch processing.
By combining both synchronization methods, businesses can balance system performance, cost efficiency, and data accuracy while supporting scalable digital commerce operations.