A new report details how dating company Bumble adopted new data cloud systems to improve its information management and efficiency.
The report, produced by technology provider Snowflake, shares the technical challenges that Bumble faced after going public.
The company faced new demands for product analytics, business metrics, as well as the growth of users and data. “All the way up to our leadership team, everyone wants reporting in a consistent and timely fashion. That uses a lot of resources, and we found our legacy data warehouse wasn’t really suitable,” shared Vladimir Kazanov, Bumble’s Head of Data Engineering.
“Our previous system was a powerful compute engine, but it wasn’t entirely suitable as a data warehouse,” he added.
“It wasn’t easy to maintain a historic archive, and licensing costs were rising as our data grew. That’s what got us interested in cloud platforms like Snowflake; storage is cheaper in the cloud”, Kazanov explained.
After adopting Snowflake’s technology, he explained that Bumble teams now have a single platform for data warehouses and data lakes. This means staff don’t have to jump between platforms anymore.
The result is that raw data is now more accessible, and “we can keep this data for longer than before, even after ETL processes, to give internal users access to data in an unprocessed form”, shared Daniel Tavares, Bumble’s Data Platform Engineering Lead.
It also means Bumble will be able to scale (grow) easier, without having to worry about “performance or usability bottlenecks”, the report highlights. Looking forward, Bumble plans to migrate internal software to Snowflake to simplify its data estate, Kazanov stated.