Global Data Platform

Restaurant Discovery Engine

High-volume ingestion, search and analytics powering a global consumer product — built for scale, reliability and long-term evolution.

The Challenge

The platform needed to ingest, normalize and continuously update massive venue datasets from multiple external and internal sources. These datasets powered real-time discovery experiences across web, mobile and partner integrations, all while maintaining predictable performance and long-term maintainability.

  • Data inconsistency and drift: heterogeneous sources, evolving schemas and imperfect inputs
  • High-throughput processing: frequent updates and reprocessing without service disruption
  • Search relevance at scale: fast, stable ranking with low and predictable latency
  • Sustainable ownership: pipelines that could evolve without accumulating operational or technical debt
Business Impact

The resulting platform enabled faster ingestion cycles, more predictable data behavior and a stable foundation for discovery features at global scale. The system delivered enterprise-grade reliability while supporting a consumer-facing product with continuously evolving requirements.

The Solution

Vertex designed and delivered a platform architecture centered on reliable ingestion, canonical domain models and search-optimized read paths.

  • Ingestion & normalization: structured pipelines that validate, transform and standardize incoming datasets into consistent domain models.
  • Incremental + batch processing: support for ongoing updates plus reprocessing workflows for major dataset revisions.
  • Search-ready projections: read models designed for discovery, filtering and ranking (without coupling search needs to core storage).
  • Operational guardrails: observability-first workflows so performance and data quality regressions are visible early.
100M+ Records Processed
Global Coverage & Datasets
Enterprise Reliability & Operability

Ready to build for the long term?

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