Enhanced Data Lineage and Database Connectivity Optimization for Large-Scale Data Modeling Platform

The client operates a data modeling platform supporting over 10 popular data platforms. They face delays in pipeline analysis due to slow third-party SQL parsers, limited support for databases with thousands of tables, and the need for faster model retrieval. Additionally, their system struggles with scalability, complex database structures, and security requirements, hindering customer acquisition and limiting growth potential amidst evolving industry demands.

A mid to large-sized enterprise offering low-code data modeling tools supporting multiple data platforms, seeking to improve performance, scalability, and security for complex database projects.

• Accelerate data pipeline lineage analysis, reducing retrieval time to enhance end-user experience.
• Replace and optimize existing SQL parsers to support newer database versions 2x faster and improve maintainability.
• Enable support for large-scale database projects with over 10,000 tables through memory and performance optimizations.
• Expand database connectivity by adding support for additional database types, facilitating the acquisition of new enterprise customers.
• Implement security enhancements including CORS, data encryption, and injection prevention to meet industry standards.
• Transition system architecture from monolithic to microservices to improve scalability, maintainability, and deployment efficiency.
• Provide best practices and optimization recommendations for DevOps, deployment, and rollback processes.

• Fast lineage analysis engine capable of handling high volumes and complex data relationships.
• Custom-built SQL parsers supporting multiple databases with support for latest vendor versions, achieving at least 2x faster performance.
• Data modeling interface supporting drag-and-drop diagrams for creating and updating database structures with forward and reverse engineering capabilities.
• Support for projects containing over 10,000 tables via performance and memory optimizations.
• Connectivity modules for integrating with at least 4 additional database types.
• Security features including CORS, data encryption, input validation to prevent code injection.
• Migration tools enabling seamless transition from existing frameworks to modern architectures.

• Multiple database vendors for increased support
• Authentication and authorization systems
• Version control and DevOps tools for deployment

• Support for handling projects with 10,000+ tables without degraded performance
• 20% reduction in memory consumption compared to previous system
• 2x increase in SQL parsing speed
• Security compliance with industry standards including data encryption and injection prevention
• High availability and scalability through microservice architecture

The upgraded platform aims to significantly accelerate feature delivery, enabling support for complex, large-scale database projects, and expanding connectivity support. These enhancements are projected to boost customer acquisition, improve end-user experience for over 300,000 users, and increase revenue streams through support for new database types and improved system scalability and security.