Lovable
bolt.new
replit
BASE44
Cursor
WiX
v0.dev
Bubble.io
Apache Flink
Apache Spark
Spring Framework
Spark Mail
Amazon Kinesis
Apache Kafka
Grails
Apache Struts
Lovable Apache FlinkBased on our record, Lovable should be more popular than Apache Flink. It has been mentiond 73 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.
We built this in Lovable. A few prompts that saved real time:. - Source: dev.to / 17 days ago
I built the site, called Insider Hawk, with Lovable. - Source: dev.to / about 2 months ago
A solo founder using Bolt or Lovable can go from idea to working prototype in a weekend. Cursor handles multi-file refactoring on a production codebase. V0 generates polished UI components from a description. The founder who previously needed six months and $80,000 in savings or seed funding can now ship a testable product in two weeks for under $8,000 in tool costs. - Source: dev.to / 2 months ago
If you're building with Lovable and Supabase, there's a gotcha that will bite you eventually โ and when it does, you'll wonder why nobody warned you. Consider this your warning. - Source: dev.to / 2 months ago
I've shipped over a dozen MVPs with Lovable over the past year at Inithouse. The builder handles UI, routing, and deployment beautifully โ but SEO is not part of the default stack. Every single app I launched needed manual fixes before Google would index it properly. - Source: dev.to / 2 months ago
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 / 3 months ago
In the meantime, other query engine support is on the roadmap, including Apache Spark, Apache Flink, and others. - Source: dev.to / 11 months 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 / 12 months 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
bolt.new - Prompt, run, edit, and deploy full-stack web apps
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.
BASE44 - The platform for people to turn ideas into working products.
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
