Ascend.io earns placements on Built In’s Best Places to Work in 2024 on the lists of Best Places to Work in San Francisco and Best Remote Places to Work.
European data teams can now automate data pipelines with the ease of a managed SaaS offering while meeting data sovereignty requirements.
Data Pipeline Automation Platform Improves Engineering Efficiency up to 700% and Eliminates At Least $156K in Annual Tooling Costs, According to ESG Economic Impact Report Enterprise Strategy Group’s economic analysis […]
Free Ingest on Snowflake is a new feature that reduces an enterprise’s data ingest cost and delivers data products up to 7x faster.
We’re excited to announce that we have attained Snowflake Premier Partner status. But what does this achievement mean for our customers?
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
Ascend.io Adds Support for Snowflake Snowpark for Python to Deliver Increased Flexibility for Data Teams
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 Snowflake Data Cloud
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
Ascend.io Secures $31 Million in Funding with Series B Led by Tiger Global to Advance Data Automation
Tiger Global, Shasta Ventures, and Accel Back Ascend.io’s Advanced Data Automation Cloud to Dramatically Increase Data Team Productivity
Featuring Keynote Speaker DJ Patil, Former U.S. Chief Data Scientist, Ascend.io’s Data Automation Summit Opens Registration, Call for Speakers, and Sponsorship Opportunities
Snowflake Users Gain Access to a Full-Spectrum of Data and Analytics Engineering Automation with Unified Data Ingestion, Transformation, Delivery, Orchestration, and Observability