Ascend Brings Declarative Pipelines to DataOps Workflows for Safe and Predictable Data Engineering at Scale

Declarative definitions, automated workflow integrations, and zero downtime pipeline deployments provide speed, flexibility, and stability across data lifecycle
Ascend Debuts Structured Data Lake for Unified and Optimized Access to the Entire Data Lifecycle

Intelligent data storage layer managed by Ascend now accessible to external processing engines, notebooks, and more to extend usability across the ecosystem
Ascend Introduces Industry’s First Queryable Dataflows

New capability combines the interactivity of data warehouses with the scale and flexibility of data pipelines for a seamless development experience
Ascend Launches with $19M in Funding to Create Automated and Intelligent Dataflows to Power Successful Digital Transformations

Advisors Include Industry Luminaries Microsoft CTO Kevin Scott and Former Sun Microsystems CEO Scott McNealy
Ascend Unveils World’s First Autonomous Dataflow Service

Data Engineers Can Create Continuously Optimized, Apache Spark-Based Pipelines with 85% Less Code