Dwolla is a small company with big ambitions. When adopting technology, they need speed, scalability, and compatibility to rapidly accelerate growth.
With growing business demands came growing data and as a result, Dwolla engineers needed to scale the company’s data infrastructure. Dwolla leveraged Amazon Web Services (AWS) to store, process, and access data at scale. Less than a year later, Dwolla adopted Tableau to uncover insights within this big data.
A big factor in Dwolla’s decision to adopt Tableau and AWS was cost of ownership. Fred Galoso, Software Developer at Dwolla explains, “Total cost of ownership was one of the main reasons we moved to AWS, and in conjunction, Tableau. With AWS, we're able to store data and also process that data at scale for a fraction of the cost of some other commercial providers that are out there. Tableau is a natural fit and saves us a lot of time, effort and engineering resources to be able to create those insights.”
Fred shares how the combination of Tableau and AWS allows for speed, scalability, and flexibility as Dwolla grows. And with Tableau, the Dwolla team can natively connect to a variety of data sources including Amazon Redshift, Amazon Elastic MapReduce (EMR), Microsoft SQL Server, MySQL, and PostgreSQL.
“AWS provides us the speed in terms of our infrastructure and from an organizational standpoint, the flexibility to change. With Tableau we also get that speed. It's really performant but also really flexible and really easy to adapt to anything that we need to change.”
“I think the combination of the two is really exciting, AWS and Tableau. Essentially, I am going to be able to answer the questions I was today, even when Dwolla is ten times bigger, a thousand times bigger, however many times bigger it is [in the future].”