Databases are arguably one of the most successful categories of software in history. But the world is changing. In the past, software has traditionally played the role of an aid to help humans perform their job better. But now more than ever, it’s the case that software is the direct consumer of other software. This interlinking of systems has allowed companies like Lyft and Robinhood to transact with their markets in an extremely scalable manner. The dynamic raises an interesting question: how suitable are databases for this new world? And what role can events and stream processing play to make these kinds of systems possible for every company?
About our speaker: Michael Drogalis is Confluent’s stream processing product lead, where he works on the direction and strategy behind all things compute related. Before joining Confluent, Michael served as the CEO of Distributed Masonry, a software startup that built a streaming-native data warehouse. He is also the author of several popular open source projects, most notably the Onyx Platform.