Case Study: Shutterstock builds an AI-ready data foundation with Fivetran

Shutterstock reduces data integration from 1 sprint to minutes with Fivetran

Shutterstock, a leading global creative platform, needed to evolve its data architecture to support its growth. Its existing Debezium-based replication system had gaps and slow recovery times, making it difficult to meet SLAs and govern data generated across dozens of microservices and systems. To build a more flexible and reliable foundation, the company turned to Fivetran and its Managed Data Lake Service.

Fivetran provided the solution by reliably ingesting data from over 70 sources into an S3-based data lake, forming the foundation of an open lakehouse architecture. This implementation reduced data integration time from weeks of development to minutes and cut pipeline issue resolution from weeks to days. The results included near real-time reporting, strengthened audit compliance, and a future-proof AI-ready data foundation that can support new tools and use cases without re-architecting.

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