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Airflow gives you a blank canvas to schedule and manage workflows—if you’re ready to code, configure, and maintain it all yourself. But orchestration alone isn’t enough for modern data teams. Ascend empowers teams to ingest, transform, and deliver data with intelligent orchestration, built-in automation, and deep observability—no patchwork required.
It’s a solid choice for teams that have the time, skillset, and infrastructure to maintain it. But as needs evolve and data stacks grow, Airflow starts to feel like a project unto itself and quickly becomes a bottleneck.
Airflow isn’t a data platform. You still need to wire up external tools for every other part of the pipeline.
Expect to spend serious time configuring environments, writing DAGs, managing retries, and troubleshooting failures.
Want to know why something failed or how long it took? Better set up your own logging, alerting, and dashboards.
No rule-based logic. No event-driven triggers. Just Python and cron schedules.
Airflow doesn’t auto-optimize or auto-scale. It doesn’t understand your data. That’s on you.
Airflow isn’t broken—it’s just not enough anymore. Data teams need more than orchestration. They need intelligence and automation so they can build faster, safely, and at scale.
Whether you’re moving data from lakes, warehouses, databases, APIs, or legacy systems, Ascend makes it easy. Flexible connectors and dynamic schema handling ensure your pipelines stay reliable as systems evolve.
Ascend automates orchestration using rich metadata and event-driven triggers—so pipelines run only when needed, and custom logic is easy to build in.
Monitor pipeline performance, trace lineage end-to-end, and debug faster with real-time, metadata-powered insights.
Run faster, spend less—Ascend uses metadata and fingerprinting to cut unnecessary compute without sacrificing performance.
From Git-backed workflows to access controls and secure deployment environments, Ascend simplifies operational excellence with native support for modern DevOps practices.
Whether you’re moving data from lakes, warehouses, databases, APIs, or legacy systems, Ascend makes it easy. Flexible connectors and dynamic schema handling ensure your pipelines stay reliable as systems evolve.
From SQL to Python, declarative to imperative, Ascend supports multiple authoring modes — all integrated with version control and modular pipeline design. Build fast, iterate safely.
Ascend’s DataAware engine lets you design intelligent workflows using the metadata you already have — turning your designs into powerful automation. Ascend's Smart Tables process data up to 100x faster.
From real-time monitoring to full lineage and change tracking, Ascend gives you deep visibility into your data flows — so you can spot issues fast and optimize with confidence.
From Git-backed workflows to access controls and secure deployment environments, Ascend simplifies operational excellence with native support for modern DataOps best practices.
Airflow gave data teams a way to orchestrate.
But that’s all it ever promised.
Ascend goes further—ingesting, transforming, orchestrating, and optimizing your data in one unified platform. No DAG wrangling. No plugin pileup. Just pipelines that run smarter, scale faster, and require way less babysitting.
Free Up Analytics and Data Engineering Time
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