What makes Moose different is how it simplifies the entire workflow - from ingestion to processing to serving data through APIs. We've found teams spend too much time wiring together different tools rather than focusing on the actual data insights.
The local development experience was a big focus for us. You can instantly test your changes with real data without waiting for deployments. And we've made sure the same code runs identically in production to eliminate those frustrating "works on my machine" moments.
Happy to answer any questions about our technical approach or how we're handling specific use cases. We're particularly interested in hearing about pain points you've experienced with existing data systems or any feedback you might have on Moose.