Lovable
bolt.new
replit
BASE44
Cursor
v0.dev
WiX
Bubble.io
Google Cloud Dataflow
Amazon EMR
Google BigQuery
Qubole
Snowflake
Databricks
Apache Beam
Amazon Kinesis
LovableBased on our record, Lovable should be more popular than Google Cloud Dataflow. 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 / 14 days ago
I built the site, called Insider Hawk, with Lovable. - Source: dev.to / about 1 month 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
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 3 years ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 3 years ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: almost 4 years ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: almost 4 years ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 4 years ago
bolt.new - Prompt, run, edit, and deploy full-stack web apps
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
BASE44 - The platform for people to turn ideas into working products.
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
