We Had a Perfectly Good Data Store. That Was the Problem.
Summary
The article explains why an operational MongoDB store worked as a source of truth but failed as a consumer-facing analytics platform. It describes how the team separated truth, transport, and consumption by building a governed data product pipeline through Kafka, Iceberg, Athena, and a Data Marketplace. The new model added ownership, metadata, quality gates, provenance, and subscription-based access so users could discover and trust data without reverse-engineering schemas. The result was fewer duplicate pipelines, less reconciliation work, and a clearer path for downstream teams to consume reference data.
Classifications
industries
Fintech & Banking
applications
Web and Content Management
AskAI Classifications
Labels
Database Software
Cloud Infrastructure Software
Developer Tools
Linked Companies
MongoDB, Inc.
$1M to $5M