Best way to manage multi-source product data and sync issues in a custom dashboard using Syncfusion components

[Susan Mary]

I’m working on an e-commerce-style project where products and pricing data come from multiple sources, and I’m trying to build a clean admin interface using Syncfusion components.

Project reference:

• Website: kiwishack.co.nz

• Type: Niche product listing/e-commerce site

• Data sources: Mixed (manual entries + supplier feeds)

• Main challenge: Keeping product data consistent and up-to-date

What I’m building:

• Admin dashboard with Syncfusion DataGrid for product management

• Inline editing for prices, stock, and attributes

• Filtering/grouping for categories and suppliers

Issues I’m facing:

• Sync conflicts when multiple data sources update the same product

• Handling partial updates without breaking grid state

• Performance slowdown when dealing with large product datasets

• Difficulty implementing real-time updates without full grid refresh

What I’m trying to figure out:

1. What’s the best way to structure data flow for multi-source product updates?

2. Should I handle syncing logic entirely on the backend or partially in the frontend?

3. Are there recommended patterns for maintaining DataGrid state during live updates?

4. Any best practices for scaling product dashboards with frequent changes?

Would really appreciate insights from anyone who has worked on similar data-heavy dashboards.

[Santhosh Iruthayaraj]

Hi Susan Mary,

Greetings from Syncfusion Support.

Based on the details shared about the project requirements, building a custom admin dashboard using Syncfusion ASP.NET Core components is a well‑suited approach for managing multi‑source product and pricing data. For data‑heavy e‑commerce style dashboards where products are updated from both manual inputs and supplier feeds, it is important to design the data flow in a way that keeps the Grid responsive while ensuring consistency across updates.

For product management scenarios involving large datasets, filtering, grouping, and inline editing, the Syncfusion DataGrid provides built‑in support for editing, sorting, filtering, and grouping features. To avoid performance slowdowns when handling large product catalogues, we strongly recommend using on‑demand data loading features such as Paging, Virtualization, or Infinite Scrolling. These features ensure that only the required set of records is fetched and rendered, instead of loading the entire dataset at once.

Please refer to the documentation below for more details on these features:

• Paging: https://ej2.syncfusion.com/aspnetcore/documentation/grid/paging
• Virtual Scrolling: https://ej2.syncfusion.com/aspnetcore/documentation/grid/scrolling/virtual-scrolling
• Infinite Scrolling: https://ej2.syncfusion.com/aspnetcore/documentation/grid/scrolling/infinite-scrolling

Regarding multi‑source synchronization and update conflicts, we recommend handling all data‑merging and conflict‑resolution logic exclusively on the backend. This ensures that the Grid always receives a single, authoritative data state and avoids inconsistencies caused by partial updates on the client side. The DataGrid works best when it consumes finalized data from the server, while CRUD and update operations are processed through APIs.

The Grid supports remote data binding using the DataManager with various adaptors in ASP.NET Core, allowing you to manage paging, filtering, sorting, and grouping operations entirely on the server. This approach helps preserve Grid state during updates and minimizes the need for full Grid refreshes, even when product data changes frequently.

Please refer to the following resources for implementing server‑side data operations:

• DataManager with Adaptors: https://ej2.syncfusion.com/aspnetcore/documentation/grid/connecting-to-adaptors
• Custom Binding: https://ej2.syncfusion.com/aspnetcore/documentation/grid/data-binding/remote-data
• Connecting to Different Databases: https://ej2.syncfusion.com/aspnetcore/documentation/grid/connecting-to-database

Additionally, limiting the page size to a smaller range (for example, 25–100 records per page) can significantly reduce DOM rendering overhead and improve overall performance in data‑intensive dashboards.

Please refer to the performance guidelines below for more best practices when scaling dashboards with frequently changing data:

• Performance Guide: https://ej2.syncfusion.com/aspnetcore/documentation/grid/performance

You can also explore real‑world showcase applications demonstrating multiple Syncfusion ASP.NET Core components working together, including data‑centric dashboards, from the link below:

• Showcase Applications: https://www.syncfusion.com/showcase-apps/aspnet-core

We hope this information helps you design a scalable and maintainable product management dashboard. Please let us know if you have any further queries.

Regards,

Santhosh I