Fivetran Customer Story: Atrium

Atrium chooses Fivetran over building an in-house solution and centralizes Zuora, NetSuite and Postgres data to build out dashboards and enable deeper business analysis.

Before partnering with Fivetran, Atrium was storing data in disparate sources, which limited its business analysis capabilities. As the company grew, analyzing all of the data it was collecting became critical. But with a small team, building a custom ETL solution in-house would have been difficult and time-consuming. To empower its business and sales teams, Atrium turned to Fivetran to centralize data from applications like Zuora and NetSuite in a simple, seamless way.

As Jillian Kozyra, Software Engineer at Atrium, explains, having up-to-date, easily accessible data is critical for debugging and maintaining applications. With Postgres data in its warehouse, Atrium no longer needs to access production servers to view the data when something goes wrong.

With centralized data, Atrium is building out numerous dashboards to enable deeper business analysis, become more data-driven, and enable strategic decisions.

About Atrium: Atrium is a corporate law firm for startups that empowers our lawyers to deliver fast, transparent, and price-predictable services through our technology platform. We're reinventing how legal services are priced, delivered, and consumed with startups' best interest in mind. With an exclusive subscription membership, our clients receive the legal and business services they need to scale. Co-founded by Justin Kan in 2017 and backed by Andreessen Horowitz, YC, General Catalyst, and more - were trusted by over 400 of the top startups in and outside of Silicon Valley including Bird, Aptible, and Triplebyte.

About Fivetran: Shaped by the real-world needs of data analysts, Fivetran technology is the smartest, fastest way to replicate your applications, databases, events, and files into a high-performance cloud warehouse. Fivetran connectors deploy in minutes, require zero maintenance, and automatically adjust to source changes so your data team can stop worrying about engineering and focus on driving insights.

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