Inside Spotify's Scalable Data Platform

Published: May 2025 • Category: Insights

Meeting Massive Scale

Spotify built a modular data platform to support its 450M+ users and real-time music recommendations. The platform integrates Kafka, Google Cloud, and an internal orchestration layer to support event-driven architectures at scale.

Core Technologies

Kafka: For event streaming and topic-based pipelines
Google Cloud Platform: For data storage, compute, and analytics
Spotify’s Orchestration Framework: Custom tool for dataset versioning and access management

Data as a Product

Spotify’s teams embrace the concept of “data as a product,” empowering engineers to publish reliable datasets. These datasets are used by analysts, marketers, and product managers across the organization to drive decisions and optimize user experience.

Takeaway

Spotify’s approach demonstrates how treating data as a first-class product, with the right tooling and governance, can enable scalable, company-wide analytics in real time.

Source: Spotify Engineering Blog

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