The world has become “sensor-fied.”
Sensors on everything, including cars, factory machinery, turbine engines, and spacecraft, continuously collect data that developers leverage to optimize efficiency and power AI systems. So, it’s no surprise that time series—the type of data these sensors collect—is one of the fastest-growing categories of databases over the past five-plus years.
However, relational databases remain, by far, the most-used type of databases. Vector databases have also seen a surge in usage thanks to the rise of generative AI and large language models (LLMs). With so many options available to organizations, how do they select the right database to serve their business needs?
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