Case Study: Artlist deploys data infrastructure 4x faster with Rivery

Artlist deploys a complete data analytics infrastructure 4X faster

Artlist, the creative technology company behind a subscription-based music, SFX, and footage platform, needed a faster way to build end-to-end analytics pipelines across marketing and R&D data. Its small data team was spending too much time on engineering and depended heavily on R&D, while analysts lacked visibility into data flows and couldn’t get timely insights from sources like Google Ads, Facebook Ads, Stripe, Salesforce, and product data.

Using Rivery’s DataOps platform alongside Snowflake and Seemore Data, Artlist implemented native connectors, ready-made data models, lineage tracking, and workflow orchestration to automate data ingestion and analysis. With Rivery, Artlist reported 4X faster deployment, 60% faster time to value, 70% higher analyst capacity, and 50% of R&D time freed up, while scaling its data team from 2 to 10 FTE and enabling company-wide access to fresh data on an hourly and daily basis.

Artlist

Hannan Kravitz

Data Engineering Team Leader