DataSQRL allows you to focus on your data logic because it handles all the annoying parts of building data services that make you want to choke on your keyboard: pipeline plumbing, schema management, error handling, data serving, API generation, and so on.
Express your data logic, transformations, and analytics with the SQL you already know. Development with SQL sounds like eating soup with a sword but a bit of syntactic sugar makes it productive, easy to debug, and simple to maintain.
DataSQRL compiles efficient data architectures that optimize partitioning, data flows, index selection, and query execution on top of Apache Flink and Postgres. There actually is some neat technology behind this buzzword bingo.
If you want to build a custom data service using your own data, this training guides you through the steps from start to finish. It extends the tutorial, covers everything you need to know, and gets you home before dinner.
DataSQRL saves you a lot of time, headache, and cost when building data services. But that’s what all data technologies promise and they’ll make you coffee to boot. Let us show you how DataSQRL delivers on those fluffy words.
DataSQRL is in its infancy and in developer preview only. Don't use it in production yet. We are working on a stable release.
DataSQRL Use Cases
Let’s take a look at how DataSQRL simplifies and expedites building data services across multiple verticals like finance, retail, logistics, telecommunications, technology, poetry, self-actualization, and more.
How does DataSQRL compare to a database, a data warehouse, or a data science pipeline? We compare DataSQRL to popular data technologies so you don’t end up using the proverbial hammer for your data service screw.
The DataSQRL documentation contains how-to guides to solve your problems, in-depth explanations of the components of DataSQRL, and a reference that documents all features and capabilities. RTFM, y’all.
Join an active, welcoming, and supportive community of developers who use DataSQRL to build data services. If you think building with data is “fun” you will definitely fit right in with the rest of us weirdos.
Do you need an answer to a particular problem you are trying to solve in DataSQRL and you cannot find the answer? Post it on Stack Overflow. We enjoy answering your questions - even the supposedly “dumb” ones.
Do you plan to use DataSQRL for a production use case and want expert support to have your back? Looking for training or consulting services to help you build data services? We’d love to help and nerd out about data with you.
SQRL is a dialect of SQL that provides syntactic sugar and a few additional constructs to make building data services in SQL easy and productive for developers. Dive into the nitty-gritties to see what it is all about.
DataSQRL is an open source project that is free to use and free to contribute to. If you want to make DataSQRL better we would love your contribution and will reward you with the entirely made up $DATA token.