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Based on our record, DaisyUI should be more popular than Apache Flink. It has been mentiond 165 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
When IoTDB was initiated in 2011, almost all influential distributed systems and databases were built in Java or on the JVMโsuch as Hadoop, HBase, Spark (Scala on JVM), Cassandra, Kafka, and Flink. To integrate deeply with the big data ecosystem, choosing Java was a natural decision. - Source: dev.to / 5 months ago
In the meantime, other query engine support is on the roadmap, including Apache Spark, Apache Flink, and others. - Source: dev.to / about 1 year ago
Many stream processing systems today still rely on local disks and RocksDB to manage state. This model has been around for a while and works fine in simple, single-tenant setups. Apache Flink, for example, uses RocksDB as its default state backend - state is kept on local disks, and periodic checkpoints are written to external storage for recovery. - Source: dev.to / about 1 year ago
Because the hosted catalog is a standard JDBC catalog, tools like Spark, Trino, and Flink can still access your tables. For example:. - Source: dev.to / about 1 year ago
I wrote a python based aircraft monitor which polls the adsb.fi feed for aircraft transponder messages, and publishes each location update as a new event into an Apache Kafka topic. I used Apache Flink โ and more specially Flink SQL, to transform and analyse my flight data. The TL;DR summary is I can write SQL for my real-time data processing queries โ and get the scalability, fault tolerance, and low latency... - Source: dev.to / about 1 year ago
If you're using a component library like daisyUI, you can map styling options directly to its semantic classes btn-primary, bg-base-200). This gives you theme switching for free โ every block re-skins automatically when the theme changes. - Source: dev.to / 4 months ago
DaisyUI[0] is the Bootstrap on Tailwind. Bootstrap makes everything looks the same. With Tailwind, most of the times and besides the colors, you have to look in the code to know it's Tailwind. [0]https://daisyui.com/. - Source: Hacker News / 4 months ago
Instead, I'm going with DaisyUI. It is a nice UI library with ready-to-use components and utilities. The best part? You can just include it via CDNโno setup needed. - Source: dev.to / 5 months ago
I later discovered DaisyUI, which provides a theme system on top of Tailwind. Instead of using color names like bg-blue-500, you can use semantic names like bg-primary and then define what primary means in your theme. - Source: dev.to / 7 months ago
Is this not exactly what DaisyUI (https://daisyui.com) is? - Source: Hacker News / 7 months ago
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.
Tailwind UI - Beautiful UI components by the creators of Tailwind CSS.
Spark Mail - Spark helps you take your inbox under control. Instantly see whatโs important and quickly clean up the rest. Spark for Teams allows you to create, discuss, and share email with your colleagues
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions