Today’s leading data teams are undergoing a major platform shift of moving beyond Airflow to adopt Astro as a fully managed, unified DataOps platform. As a result, they have seen data platform cost savings of up to 75%, 4-5x faster data product delivery, unlocked AI initiatives, and accelerated modernization.

This guide maps the four-stage maturity curve that forward-thinking teams are following to scale from basic scheduling and orchestration to a unified and consolidated DataOps platform.

• Stage 1: Adopt Airflow to orchestrate ETL/ELT pipelines and automating analytics and reporting workflows
• Stage 2: Manage and modernize to reduce risk and improve operational efficiency
• Stage 3: Use case expansion include rationalizing dbt workflows and powering MLOps and LLM workflows
• Stage 4: Consolidate fragmented DataOps tools into a single, orchestration-first system

After reading this guide, you’ll know what your team’s DataOps maturity is and the next steps to scale your DataOps strategy.