Virtual Tenant Model for SaaS Third-Party Data Integration
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Solution Overview
Problem
Traditional SaaS platforms face challenges in importing and embedding third-party analytical data due to limitations in their data architecture, which leads to resource constraints and inability to meaningfully integrate third-party reports, as multiple business customers share a single database, affecting performance and data management.
Innovation Solution
Implementing a virtual tenant model where each business customer has a dedicated server instance and database, allowing for flexible data management and control, with connectors to retrieve and store third-party data without impacting other accounts, enabling efficient integration of external data sources into custom or standard objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple business customers share a single database in a traditional SaaS platform, then resource utilization is improved, but data management control and performance are worsened due to resource competition and inability to meaningfully integrate third-party reports
Solution Approach 1:
The patent segments the shared database into multiple dedicated databases, one for each business customer. Each customer's data is isolated in their own database instance, eliminating resource competition while maintaining efficient resource utilization through centralized management. This segmentation enables meaningful integration of third-party reports by providing dedicated data spaces for each customer.
2Device complexity
If a traditional SaaS platform uses a shared database architecture, then device complexity is reduced, but the ability to integrate third-party analytical data is worsened due to resource constraints
Solution Approach 1:
The system architecture is segmented into multiple isolated database instances, each dedicated to a specific business customer. This segmentation enables independent integration of third-party analytical data for each customer without affecting others, thereby improving adaptability and versatility while maintaining manageable complexity through standardized isolation patterns.
Solution Approach 2:
The patent introduces an intermediary layer (the dedicated database instance) between the shared SaaS platform infrastructure and individual customer data. This intermediary enables flexible integration of third-party data sources by providing a dedicated buffer zone that isolates external data integration activities from the core shared infrastructure, thereby improving adaptability without significantly increasing overall system complexity.
3Quantity of substance
If third-party data is integrated into a shared database, then data consolidation is improved, but performance and data management are worsened due to resource competition among multiple customers
Solution Approach 1:
The patent segments the consolidated data storage into separate dedicated database instances for each customer. This allows data consolidation within each customer's context while preventing resource competition between customers, thereby maintaining both data consolidation benefits and performance stability. Each customer's third-party data is consolidated in their own isolated environment.
Data Source
AI summary
Disclosed is an improved method, system, and program product to implement a business platform that assigns a server instance and dedicated database to each business customer. A connector is configured to retrieve data from an external data source. The retrieved data is stored in a portion of the dedicated database. A user interface having one or more selectable components is displayed, wherein at least one selectable component, when selected displays the external data.