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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Introducing lots of cloud native services, new advances in deep analytics and A.I., and other technology can slow down delivery, increase sprawl, yet solve real problems while creating others....
With Demands on Data Teams Surging and the Need for Data Automation Skyrocketing, Snowflake Users Now Have Exclusive Developer Tier Access to the Ascend Data Automation Cloud
As Part of the Snowpark Accelerated Program, the Ascend.io Snowpark for Python Integration Extends End-to-end Automation for Multi-language Workloads With Access to the Rich Open Source Ecosystem on the...
In this episode, Sean and I talk with Jon Saltzman about all things data lineage and its importance at every step of the data pipeline. … Read More
In this episode, Sean and I chat with one of Ascend's Field Data Engineers, Shayaan Saiyed, about one thing data engineers can't function without—data transformations. … Read More
In this episode, we go back to the foundations of data engineering and data pipelines with a deep dive into data ingest. … Read More
Adoption Rising as the Need for Data Products Grows Faster Than Team Size and a Staggering 95% of Data Teams Are Still at or Over Capacity
What Our Series B Signals, and Why 2022 is the Year of Automation … Read More
Data transformation is the process of converting data from one format or structure to another. Ascend makes data transformation more efficient and automated. … Read More
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...
Leading data teams is challenging. Few technological domains have undergone such rapid change over the past few years. Yet the vast majority of data teams, 96% to be exact,...
We are excited to announce D-SHAs, a mechanism used to actively check intermediate data and halt downstream processing that is simply not necessary. … Read More