Ascend combines the core capabilities of data engineering—data ingestion, transformation, delivery, orchestration, and observability—into a single platform so that data teams deliver 10x faster.
No matter your use case or industry, all data team members—from data engineers to data analysts—have increased their productivity by unifying and automating data + analytics workloads.
“Data Engineers and Data Analysts alike are unanimous: there is no going back to a traditional imperative approach to Data Engineering.”
Remi Paulin, Data Architect, PrestaShop
Why Startups Love Ascend
Why Free Data Ingestion Accelerates Business Value
Automating Data Workloads for Success: Is Your Automation Architecture Data Aware?
Learn more about the Ascend Data Automation Cloud with quick start guides, tutorials, information on connectors, integrations, flex-code transformations, and more in our developer documentations.
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“The foundation of any successful Machine Learning project is a simple-to-use, scalable, reliable data orchestration platform. Ascend.io that and more, so in combination with Vidora, customers can truly operationalize their ML pipelines.”
Alex Holub, Co-Founder at Vidora
Learn about Joining The Partner Program
Whether you’re passionate about IoT, Health Tech, Ed Tech, Media, or more Ascend partners with our customers around the globe to help bring innovative and impactful Data + Analytics Engineering products to life.
Learn more and explore expanding your career with Team Ascend!
In this installment of the Ascend partner webinar series we talk with Cyrus Facciano and Jared Langguth, the principals of X is Y, about their secret sauce to helping...
Milan-based Electric Mobility Company Leverages the Ascend Platform for an 80% Reduction in Time Spent Building and Managing End-to-End Data Pipelines … Read More
Learn more from Jason Robinson, VP, Data Science & Engineering at Steady, about how organizations, like Steady, are moving into the future of scaling data teams and data workloads...
With Ascend, the ability to rapidly iterate on ETL enabled the New York Post team to focus on the higher-level work that provided value across many business units without...
Results from the 2021 DataAware Pulse Survey find that with
With increasing, disparate data streams, the Mayvenn analytics team set out to find a data orchestration solution that enabled them to handle the vast majority of data ingest and...