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How Shutterstock uses Fivetran

ConfirmedVendor case study · Checked Nov 12, 2026
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The use case: how Shutterstock deploys Fivetran

Shutterstock uses Fivetran Managed Data Lake Service to ingest data from more than 70 microservices and sources, plus Google Sheets, into an S3-based data lake using Iceberg tables. Snowflake queries that data and dbt handles transformations, supporting internal, product and financial reporting.

More reported results

Figures published in Fivetran’s case study. They are not independently measured by usedby.

weeks to days

Cut pipeline issue resolution time from weeks to days

more than 70

Today, Fivetran connects more than 70 microservices and data sources into an S3-based data lake using Iceberg tables as the foundation (bronze layer).

In the customer’s words

An Open Data Infrastructure gives us the flexibility to use the right tool for the job. Whether it’s Snowflake, AWS services, or something new in the future, our data is already where it needs to be without having to move or rebuild.
Jitesh Kumar, Senior Software Development Manager at Shutterstock — Source

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Other companies using Fivetran

Customers across industries, with public evidence.

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More stories

Go straight to the source

Based on Fivetran’s published case study. We check the public evidence; the results are reported by the vendor.

fivetran.com
Last checked
Nov 12, 2026
fivetran.comCaptured Fivetran case study about ShutterstockOpen source capture
What the story claims, and what we checked

What we compared with the page.

  • The figure: 1 sprint to minutesChecked

    Printed word for word on the page, near the name of Shutterstock.

  • The passage quoted aboveChecked

    Copied word for word from the page, near the name of Shutterstock.

  • The numbers in our summaryChecked

    Each one is printed on the page.

  • Shutterstock uses FivetranChecked

    Confirmed line.

  • The result itselfNot checked

    We quote it; we did not measure it.

The team reduced data integration time from weeks of planning and development to minutes of setup. Pipeline reliability also improved, cutting issue resolution time from weeks to days and eliminating the data gaps that previously impacted SLAs.
From the page. fivetran.com