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Modernization of Data Modeling Platform with Enhanced Connectivity and Performance Optimization
  1. case
  2. Modernization of Data Modeling Platform with Enhanced Connectivity and Performance Optimization

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Modernization of Data Modeling Platform with Enhanced Connectivity and Performance Optimization

altoroslabs.com
Information technology
Financial services
Healthcare
E-commerce

Technical Limitations Hindering Platform Scalability and Market Expansion

Legacy SQL parsers caused 6-month delays in supporting new database versions, limiting connectivity. Existing architecture struggled with database projects containing 10,000+ tables. Security vulnerabilities required mitigation. Need for specialized engineering talent to maintain development velocity while modernizing infrastructure.

About the Client

Provider of low-code data modeling software enabling database structure management via drag-and-drop diagrams, supporting data governance, lineage analysis, and collaboration for enterprise clients

Strategic Modernization Goals

  • Accelerate lineage analysis implementation timeline by 50%
  • Replace 5 legacy SQL parsers with custom-built solutions
  • Enable support for 4 new database platforms
  • Achieve 20% memory consumption reduction for large-scale projects
  • Implement microservices architecture for improved maintainability
  • Enhance security through input validation and encryption protocols

Core Platform Enhancements

  • Real-time lineage analysis for 300,000+ users
  • Custom SQL parsers for 5+ databases with 2x faster model retrieval
  • Database connector framework supporting 10+ platforms
  • Scalable architecture for 10,000+ table projects
  • Cross-origin resource sharing (CORS) implementation
  • Automated input sanitization to prevent code injections

Technology Stack Modernization

.NET 7 framework
Microservices architecture
Custom SQL parser development
Cloud-native deployment models

Database Connectivity Requirements

  • Oracle Database
  • Microsoft SQL Server
  • PostgreSQL
  • MongoDB
  • Amazon Redshift

Operational Excellence Criteria

  • Horizontal scalability for 10,000+ concurrent users
  • 99.95% system availability SLA
  • Sub-500ms response time for model retrieval operations
  • GDPR-compliant data encryption at rest and in transit
  • Automated rollback capabilities for zero-downtime deployments

Business Transformation Outcomes

Enables 2x faster time-to-market for new database integrations, supports enterprise-grade projects with 10,000+ tables, and facilitates expansion into new market segments through enhanced security and performance. Expected to increase enterprise customer acquisition by 40% and improve platform maintainability by 60% through microservices adoption.

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