GraphQLAdTech & MarTech

GraphQL Development for AdTech & MarTech

Expert fractional CTO services combining GraphQL expertise with deep AdTech & MarTech industry knowledge. Build compliant, scalable solutions that meet AdTech & MarTech-specific requirements.

Why GraphQL for AdTech & MarTech?

GraphQL Strengths

  • Clients request exactly the data they need
  • Strong typing prevents many errors
  • Excellent tooling and developer experience
  • Single endpoint simplifies frontend development

AdTech & MarTech Requirements

  • Programmatic bidding
  • Attribution
  • Ad serving
  • Analytics

GraphQL Use Cases in AdTech & MarTech

Campaign data graph queries

Ad performance relationships

Analytics data aggregation

Architecture Patterns for AdTech & MarTech

Pattern 1

Standard GraphQL architecture patterns

Pattern 2

Best practices for AdTech & MarTech implementations

Pattern 3

Scalable design for AdTech & MarTech workloads

Performance

Use DataLoader religiously, implement proper caching, limit query complexity, use persisted queries, optimize resolvers.

Security

Implement query depth limiting, complexity analysis, proper authentication in resolvers, field-level authorization.

Scaling

GraphQL can be challenging to cache at the HTTP level. Consider persisted queries, response caching, and proper DataLoader usage.

AdTech & MarTech Compliance with GraphQL

Required Compliance

GDPR
SOC 2

Implementation Considerations

  • Data minimization and purpose limitation
  • Right to erasure implementation
  • Consent management systems
  • Data portability features

Complementary Technologies for AdTech & MarTech

languages

JavaScriptPythonGo

frameworks

ReactNode.jsDjango

databases

PostgreSQLMongoDB

Recommended Team Structure

GraphQL adds learning curve. Ensure team has proper training. Consider starting with auto-generated schemas (Hasura, Prisma).

Timeline: Initial API: 4-8 weeks, Complex schema: 2-4 months
Budget: $30,000-$100,000

Success Story: GraphQL

Series A mobile-first marketplace

Challenge

REST API required 8+ requests per screen. Mobile users experiencing slow load times and high data usage.

Solution

Fractional CTO designed GraphQL schema, implemented with Apollo Server, optimized with DataLoader and response caching.

Result

Reduced API calls per screen from 8 to 1. Mobile load times improved 60%. Data transfer reduced 40%.

Timeline: 2 months

Need GraphQL Expertise for Your AdTech & MarTech Business?

Get expert fractional CTO guidance combining GraphQL technical excellence with deep AdTech & MarTech industry knowledge and compliance expertise.