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Cotality
Case study · Real Estate Big Data
Redacted — under NDABig data, reasonable cost.
Processing billions of records on a budget using AWS infinite scale and microservice architecture.
Challenges
- Process billions of records within a constrained infrastructure budget
- Real estate tech products for major financial institutions
- Fixed monthly project budget cost control with full transparency
Results
- 9+ years building real estate tech products for clients such as Capital One and Bank of America.
- $3M USD annual infrastructure savings using cost-efficient big data serverless architecture.
- $200K USD monthly payroll cost control with full transparency — a team of 23 software engineers & data scientists acting as stakeholders from day one.
- Billions of records from multiple providers correlated into comprehensive market insights, with dynamic configurability for either cost or performance.
- Serverless microservices coupled with AI-empowered software development best practices.
Apoddo has been our trusted partner for 9+ years, consistently sourcing developers who not only had the technical skills required but also possessed a deep understanding of the real estate domain.
Xavier Naud
VP of Engineering, Cotality