Cloud Connectivity Service for Multi-Source Data Access
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Solution Overview
Problem
Current systems face challenges in providing inexpensive, robust, and easily maintainable connectivity to multiple data sources, requiring multiple APIs and drivers, which are brittle and costly to maintain, and fail to offer SQL access through a cloud-based connectivity service.
Innovation Solution
A cloud-based connectivity service that establishes connections between a driver and a connectivity service, allowing requests to be sent to various data sources, including big data, social network, relational, NoSQL, and customer engagement sources, using a single driver that communicates through a wire protocol, and includes features like stateless connections and data compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple separate APIs and drivers are used to connect to multiple data sources, then connectivity coverage is improved, but system complexity and maintenance costs increase
Solution Approach 1:
The patent implements a universal driver architecture where a single driver can connect to multiple different data sources through a cloud-based connectivity service. This eliminates the need for separate drivers for each data source, reducing system complexity while maintaining broad connectivity coverage across diverse data sources including CRM systems, databases, and cloud services.
Solution Approach 2:
The cloud-based connectivity service acts as an intermediary layer between the driver and multiple data sources. This mediator handles the complexity of connecting to different data source types, allowing the driver to communicate with various data sources through standardized interfaces while the connectivity service manages the specific protocols and connections for each data source type.
2Adaptability or versatility
If multiple APIs are used to access different data sources, then data source accessibility is improved, but maintenance costs increase due to rapid API changes
Solution Approach 1:
The connectivity service serves as a buffer between the driver and data source APIs. When data source APIs change, the connectivity service absorbs these changes and maintains stable interfaces for the driver, significantly reducing maintenance costs. The connectivity service handles API updates, authentication changes, and protocol modifications without requiring changes to the driver itself.
Solution Approach 2:
The system segments the connectivity functionality into separate components: the driver handles high-level connection management, while the connectivity service handles low-level API interactions. This segmentation allows independent maintenance and updating of the connectivity service without affecting the driver, reducing overall maintenance costs while preserving data source accessibility.
3Reliability
If point-to-point connectivity is implemented for each data source, then connection reliability is improved, but system brittleness increases
Solution Approach 1:
The universal driver with cloud-based connectivity service provides a robust, flexible architecture that maintains reliable connections to multiple data sources without the brittleness of point-to-point connectivity. The system can adapt to different data source configurations and failures through standardized interfaces and centralized connection management, improving reliability while reducing system fragility.
Data Source
AI summary
A system and method for providing connectivity as a service are disclosed. In one embodiment, the system establishes a connection between a driver and a connectivity service; receives, at the connectivity service, a request from the driver; establishes a connection with one or more data sources associated with the request; and sends the request to the one or more data sources, the one or more data sources performing an action based on the request.