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
Automating Data Workloads for Success: Why I Joined Ascend.io as Field CTO
Ascend.io Expands Data Automation for Snowflake Data Cloud with Free Developer Tier Offering
Ascend.io Adds Support for Snowflake Snowpark for Python to Deliver Increased Flexibility for Data Teams
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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In this whitepaper, we compare and contrast both approaches to pipeline orchestration and the impact to data engineering. … Read More