BASE44
Lovable
bolt.new
replit
Bubble.io
Taskade
Cursor
WiX
Apache Flink
Apache Spark
Spring Framework
Spark Mail
Amazon Kinesis
Apache Kafka
Grails
Apache Struts
BASE44 Apache FlinkBased on our record, Apache Flink seems to be a lot more popular than BASE44. While we know about 46 links to Apache Flink, we've tracked only 4 mentions of BASE44. 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.
The first category includes tools like Lovable or Base44. These are prompt-driven tools that can generate visually polished interfaces very quickly. They're great for demos that need to look impressive. However, they are usually frontend-focused. Once you need to store data, manage users, or connect real logic, things often become fragile. Backend integrationsโcommonly via services like Supabaseโcan break in ways... - Source: dev.to / 6 months ago
I love how AI is shaking up coding, and vibe coding seems to be the new obsession of -almost- every developer. It lets anyone, even non-coders, build apps by describing ideas in plain English. Tools like Base44, Lovable, and Cursor turn your words into working code, no syntax required. - Source: dev.to / 12 months ago
Landing page is excellent, esp the video; gets straight to the point. https://www.youtube.com/watch?v=vFzQF_Ik_-g https://base44.com/. - Source: Hacker News / about 1 year ago
Base44 For non-coders. All-in-one. Creates dashboard-like apps pretty well. - Source: dev.to / about 1 year 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
Lovable - The world's first AI Fullstack Engineer
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
bolt.new - Prompt, run, edit, and deploy full-stack web apps
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.
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
