Ascend.io, the Data Automation Cloud, announced it has received $31 million in Series B funding, enabling the company to scale go-to-market efforts and expand into new geographies, as well as extending Ascend’s Data Automation Cloud to support full multi- cloud data mesh automation.
The funding round was led by Tiger Global with participation from Shasta Ventures and existing investor Accel.
The steady rise of AI, machine learning, and analytics powering today’s hyperconnected world has spiked demand for data workloads and has progressively strained data team bandwidth and productivity.
To meet this demand, companies are looking to adopt data automation and adopting the Ascend Data Automation Cloud to accelerate the speed and scale at which data initiatives are delivered.
Ascend.io’s automation platform has gained a significant favor amongst data engineering and analytics teams with its ability to enhance the full spectrum of data engineering, bolstering productivity and impact of the entire data team.
The Ascend Data Automation Cloud unifies the core data engineering capabilities—ingestion, transformation, delivery, orchestration, and observability—into a seamless experience.
Powered by Ascend’s DataAware intelligence, the Ascend Data Automation Cloud eliminates more than 90% of custom code, empowering data teams to focus on what matters the most: data, according to the vendor. The Ascend platform works continuously in the background monitoring data integrity and optimizing data workloads, resulting in drastically reduced time spent on management and maintenance.
“At Ascend.io, our focus on data engineering productivity has truly resonated with customers, and we’re seeing faster growth across our user base than ever before,” said Sean Knapp, CEO and founder of Ascend.io. “This latest round of funding enables us to help even more data teams around the globe take advantage of this new wave of automation, ensuring they have a leg up as they drive innovation in their respective industries.”
Additionally, Ascend.io is previewing the development of data mesh automation for workloads spanning all clouds, lakes, and warehouses—offering not only a single pane of glass view, but also unified metadata, lineage, observability, and more.
More information on this job and availability is expected later this year. En route to full data mesh automation, Ascend.io will expand support for lakes and warehouses from currently supported platforms Spark, Snowflake, and Google BigQuery to also include Amazon Redshift, AWS Glue, Microsoft Azure Synapse, and more.
For more information about this news, visit www.ascend.io.