![]() In a traditional database, writes are boring. ![]() A streaming database flips a traditional database on its head. Streaming databases are the answer to that question. Software is what makes this possible data in motion, not at rest, is what makes this a reality. ![]() When you split the cost of dinner with a friend using Venmo, funds are transferred in seconds. When you exit a ride from Lyft, you have a receipt barely after your foot hits the pavement. We live in an instantaneous, always-on world. Reality, however, is giving us a different picture. This evolution is why new kinds of databases were born-key/value, columnar, document, and graph databases all offer unique ways to ask questions about your data.īecause databases have primarily evolved in terms of how you query data at rest, it’s easy to think that the next important category of databases will look similar to those that came before it. For today’s companies like Lyft, Netflix, and Airbnb, data isn’t just a tool-it’s the crown jewel. No problem was out of reach because the way that we imagined how data could be used was narrow.īut over time, people widened their lens. ![]() They powered everything: from websites to analytics, from customer data to scheduling. What will the next important category of databases look like? For decades, relational databases were the undisputed home of data.
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