How to Get Started with SingleStore
Are you looking for the fastest possible way to get a new SingleStore Cluster up and running while testing out sample datasets to experiment with and use? Well, today’s your lucky day, because in this post we are going to: Set up a new SingleStore cluster.Import over 20 million rows of sample data from an S3 Bucket.Run some sample queries on the imported dataset in SingleStore. Okay, first of all, if you’re new here, what exactly is SingleStore? SingleStore is a distributed, scale-out, general-purpose SQL database designed to have the versatility to run both analytical and operational workloads with great performance. SingleStore excels at running complex interactive queries over large datasets (100s of terabytes) while running high-throughput, low-latency read and write queries (single-digit milliseconds) with predictable response times (millions of rows per second). This means, that SingleStore should be your database of choice if you dealing with hundreds of terabytes or petabytes of data, and you need your queries to return in milliseconds instead of minutes, and your need to handle massively concurrent ingestion of data for your application. Okay, now that we’ve discussed what SingleStore is, let’s get to the thing you’re probably here for, the Getting Started demo. Now, this is just my personal opinion, but I think the best way to get to know a new tech (like SingleStore) is to try it out. In this blog post, we will guide you through as we set up a sample application in SingleStore in under 5 mins. I would highly recommend that you try to follow along with me. All of the code for this post can be found on the SingleStore GitHub. If you want to follow along with a video version of this blog post, you can check that out below.
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