Improving analytics performance is important. We all understand that, but what’s the best way to ensure that our users are getting the speeds they need without putting a load of extra work on our plate?
As data engineers, we faced this challenge, and so did our friends and colleagues. Our attempt to find a solution would lead us to start the open project StarRocks, an analytics engine that would help us meet rapidly growing analytics performance demands while also being easy to work with and maintain.
As the project and community have grown these last few years, we’ve learned a lot about what works and what doesn’t when it comes to analytics performance. Today, we want to share some insights around one of the key technologies for building a high performance analytics engine: vectorization.
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