The Bagisto Marketplace Platform, built on top of Bagisto’s Laravel based eCommerce framework, allows store owners to transform their single vendor store into a full fledged multi vendor marketplace.
As the marketplace scales to millions of products from thousands of vendors, maintaining performance, search accuracy, and smooth vendor customer experiences becomes a significant challenge.
This blog explores advanced strategies for scaling the Bagisto Marketplace Platform to efficiently handle 10 million products, with a focus on database optimization, indexing, caching, and search enhancements.
Marketplace Benchmarks at Scale
We tested Bagisto Marketplace with 2,000 sellers and more than 10 million products.
Here are some real performance metrics from the admin panel, seller dashboard, and seller storefront.
1. Admin Side – Seller Listing
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2,000 sellers in datagrid under Marketplace > Sellers.
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Load time: 395ms.
2. Admin Side – Product Listing
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10,000,001 product records in datagrid under Marketplace > Products.
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Load time: 813ms.
3. Seller Panel – Product Listing
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Seller dashboard showing 5,524 products.
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Load time: 389ms.
4. Seller Public Profile Page
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Seller storefront rendering 5,163 products.
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Load time: 856ms.
Understanding the Challenges of Scaling Marketplace Products
In a multi vendor setup, challenges increase not only because of the volume of products but also because of the distributed ownership of data across multiple vendors.
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With 200k products, Bagisto Marketplace handles queries and product searches efficiently without heavy optimization.
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At 10 million products, however, both database performance and search capabilities require advanced scaling techniques.
Key Challenges in a 10M+ Product Marketplace:
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Database Load – Handling millions of vendor product records without slowing down queries.
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Search & Filtering – Enabling customers to discover products quickly, even with a huge catalog.
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Order Splitting Performance – Ensuring large product catalogs don’t slow down order splitting between vendors.
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Indexing & Caching – Reducing response times by efficiently managing inventory, pricing, and catalog rules.
Database Performance in Marketplace
The Bagisto Marketplace Platform relies on MySQL. While robust, managing 10 million vendor product entries requires careful optimization.
Optimizing Database Queries
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Eager Loading – Prevent N+1 query issues when fetching vendor product relationships (e.g., product + vendor + inventory).
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Batch Processing – Update large sets of vendor products (pricing, stock, approvals) in chunks to reduce DB strain.
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Read Write Splitting – Use master slave replication to separate read heavy operations like product listing from write heavy tasks like vendor product updates.
Indexing Strategies for Marketplace Products
Indexing plays a crucial role in keeping marketplace operations efficient with large datasets.
Bagisto uses specialized indexers to manage pricing, inventory, and catalog rules across vendors.
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Price Indexing – Ensures accurate vendor pricing, especially when promotions and catalog rules apply to millions of products.
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Inventory Indexing – Updates stock availability in real time as orders are placed across different vendors.
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Flat Indexing – Optimizes product attributes (SKU, vendor ID, price, weight, locale) for faster retrieval across channels.
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Catalog Rule Indexing – Keeps vendor discounts and offers updated automatically with scheduled indexing.
These indexers, when optimized, allow Bagisto Marketplace to handle millions of vendor SKUs without performance degradation.
Leveraging Elasticsearch for Marketplace Search
For a marketplace with 10 million vendor products, search is critical. Customers need fast, relevant results, and vendors expect accurate representation of their catalogs.
Why Elasticsearch?
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Full Text Search – Handles complex queries better than relational databases.
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Vendor Aware Search – Supports filtering by vendor, attributes, price, or reviews.
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Real Time Indexing – Immediately reflects new vendor product uploads, price updates, or inventory changes.
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Scalability – Elasticsearch clusters can scale horizontally, making it ideal for a growing marketplace.
Real Time Indexing in Marketplace
When a vendor updates a product (e.g., price, stock, description), Elasticsearch synchronizes these changes instantly. This ensures:
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Customers always see up to date product info.
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Vendors have accurate storefront representations.
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Admins avoid data inconsistency issues.
Conclusion: Scaling Beyond 10 Million Products
Scaling the Bagisto Marketplace Platform to 10 million products is challenging but achievable with the right strategies.
By leveraging:
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Optimized database queries (eager loading, batching, replication)
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Efficient indexing (price, inventory, catalog rules, flat indexing)
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Elasticsearch for real time scalable search
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Caching techniques for faster vendor dashboards and product discovery
…you can build a future ready marketplace capable of handling massive growth without sacrificing speed or user experience.
If you’re scaling your marketplace and need tailored solutions, Bagisto offers enterprise grade platforms and developer support to meet your needs.
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