BeautifulSoup Scrapes Pages. Crawl4AI Assumes No One Reads Them.
Crawl4AI hit 75,000 GitHub stars in three years, faster than Scrapy did in eighteen. The reason isn't a better scraper. It's that access and legibility are different problems.
8 articles exploring data engineering
Crawl4AI hit 75,000 GitHub stars in three years, faster than Scrapy did in eighteen. The reason isn't a better scraper. It's that access and legibility are different problems.
Prefect acquired Dagster this week. Combined GitHub stars and PyPI downloads for both still trail Apache Airflow alone. Here's what the deal actually changes.
Comprehensive Apache Airflow analysis: open source and every managed vendor (Astronomer, Cloud Composer, MWAA), pricing at three scales, Airflow 3.0 migration, operational pain points, AI workflows, and a decision matrix for choosing the right deployment.
Comprehensive Dagster analysis: pricing, asset-centric orchestration, AI/ML pipelines, learning curve, integrations, and why treating data as the product gives teams lineage and governance that task-centric orchestrators cannot match.
Comprehensive Prefect analysis: pricing, scaling, deployment architecture, integrations, learning curve, and why its dynamic Python-native control flow fits AI agent workflows better than static DAG orchestrators.
After running all three in production: 20-criteria breakdown of real migration costs, team overhead, backfill behaviour, and which orchestrator survives 500+ pipelines.
How to build a SaaS metrics stack that produces ARR, MRR, churn, LTV, and CAC you can actually defend - with SQL, Python, and the right source-of-truth hierarchy.
How to build investor-grade revenue data infrastructure before a Series B raise - the stack, the metrics, the entity resolution problem nobody talks about.