Revolut achieves true data democratisation with Exasol

Revolut achieves true data democratisation with Exasol

Digital banking alternative, Revolut, one of the most data-driven companies in the world, has achieved true democratisation of data with the help of Exasol, the analytics database. Despite data volumes increasing 20-fold over the past 12 months, queries that used to take hours are now completed in seconds, enabling self-serve data analytics for all employees across business functions.

“We are an extremely data-driven company,” said Demeter Sztanko, Head of Data Engineering at Revolut. “We maintain around 800 dashboards and run around 100,000 SQL queries on a daily basis across the organisation. When we looked at cloud vendors, it quickly became apparent that running the analytics we wanted to could become prohibitive, but not with Exasol. In addition, we also love the flexibility that Exasol offers because it does not lock us into any single environment and this is very important for us.”

Revolut is one of the fastest growing FinTechs in the world and handles every aspect of money management. It achieved unicorn status in 2018 and now has more than 6 million customers globally. Revolut runs a multi-node Exasol cluster on Google Cloud Platform. Exasol offers unparalleled flexibility, with on-premises, cloud or hybrid and multi-cloud deployment options, which means there is no vendor lock-in for its customers. This allows Revolut to expand to countries where Google Cloud Platform is not available.

“We wanted to ensure everyone has access to the data they need for their daily work in a simple and efficient manner, and Exasol has helped us achieve that. Working with Exasol is very personal for me because I know the team is always ready to help. I have visited its headquarters and I have met everyone on the tech team personally,” added Sztanko.

Revolut’s data science and engineering team has ambitious plans for the future, which include working together with Exasol to make full use of Exasol’s capabilities to apply Machine Learning tools to its processes and empower Revolut employees with the data analysis capabilities they need.

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