A SQL developer walks into a bar. He approaches two tables and asks, "May I join you?"
Today we are thrilled to announce the general availability of our new SQL engine for FeatureBase! Our team has been hard at work over the last few months, and we're excited to bring this functionality to developers and data engineers to make their lives better!
With SQL, taking advantage of FeatureBase’s superpowers is easy. From ingesting data via Kafka to working with our unique SET data types, you will be able to manage data and gain rapid insights using SQL's familiar syntax. By minimizing the overhead of having to learn a new language, efforts can be focused on exploring your data and building scalable, production-ready applications to achieve your business goals.
In a recent interview discussing the context of our SQL implementation for FeatureBase, our SVP of Technology, Pat O’Keeffe summed up our outlook, “If you want to build a product that is easy to use by the most people, you might want to start with something they know for querying and managing a database. Users feel pain and shy away from data products when there are steep learning curves to using them, and the majority of users are comfortable with and want SQL”.
He’s not wrong.
Here are just a few of the features that you can expect from our new SQL engine:
In addition to these features, we have also made numerous bug fixes and performance improvements based on feedback from our in-preview users. We believe that these new features and enhancements will help you get the most out of your data and improve the performance and reliability of your applications. Better yet, try it for yourself with a $300 credit on us, and let us know what you think!
Please review our documentation for the latest. If you have any questions or feedback, please don't hesitate to reach out to our team at firstname.lastname@example.org.
Thank you for exploring FeatureBase!
docker run -p 10101:10101 featurebasedb/featurebase
git clone https://github.com/FeatureBaseDB/featurebase-examples.git
docker network create fbnet
docker compose up