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
Ascend.io Announces Support for Amazon Redshift Serverless
Be Power Selects Ascend.io to Supercharge Data Engineering Velocity
How Steady Is Working with Ascend to Scale and Automate Data Workloads
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
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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.
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Users of Amazon Redshift Serverless environments gain access to Ascend’s advanced automation platform to accelerate onboarding of data engineering and analytics engineering workflows … Read More
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
With the Need for Data Products on the Rise, Teams Struggle to Keep Pace, According to Findings From Ascend.io’s 2021 DataAware Pulse Survey … Read More
The Ascend Unified Data Engineering Platform Recognized for Its Ability to Significantly Improve Data Engineering Productivity With End-to-End Visibility of Data Pipelines
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