Choosing how to handle your data is not an easy task. Every database and data processing framework will try to tell you it is the best in the market and can solve all of your problems. But when real life strikes, you learn that every solution has its pros and cons and you might find yourself struggling to fit your data into the right model. In this session, we will tell the story of how the data architecture of Otonomo evolved during the first three years of the company. You'll understand why we made some technological and architectural decisions based on the ever-changing nature of a growing startup. Having all the tools in the belt is not enough. You have you know when to use them.