Highlights:

  • The funding was led by Tiger Global with participation from Shasta ventures and present investor Accel.
  • Ascends Data Management Cloud plans to extend support to full multi-cloud data mesh automation.

Ascend.io, a firm developing data automation products, declared that it had received USD 31 million in series B funding. With the funds the organization plans to scale its go-to-marketing efforts and expand into new demographics. It will also allow Ascend’s Data Management Cloud to expand to provide complete full multi-cloud data mesh automation.

The funding saw participation from Shasta ventures and present investor Accel; Tiger Global led the round.

The rise of Artificial Intelligence (AI), Machine Learning (ML), and analytics that is fueling today’s hyperconnected world has surged the need for data workloads. It has progressively exhausted data team bandwidth and efficiency.

To suffice this need, organizations are actively looking for data automation and implementing the Ascend Data Automation Cloud as a catalyst to scale the speed at which data initiatives are delivered.

Ascend.io’s automation platform has received noteworthy favor from data engineering and analytics teams with its capability to intensify the complete spectrum of data engineering capabilities, strengthening the productivity and impact of the entire data team.

The Ascend Data Automation Cloud combines core data engineering capabilities such as ingestion, transformation, delivery, orchestration, and observability into a smooth experience.

Ascends DataAware intelligence powers the Ascend Data Automation cloud, doing away with more than 90% of custom code, enabling the data teams to concentrate on what matters the most: Data, as per the vendor. The Ascend platform constantly works in the background, keeping track of data integrity and enhancing data workloads, resulting in substantially less time spent on management and maintenance.

Furthermore, Ascend.io is exploring the development of data mesh automation for workloads across all clouds, lakes, and warehouses, providing not only a single pane of glass view, but also centralized metadata, lineage, observability, and much more.

We can expect more information and details on this functionality and availability towards the end of this year. To complete data mesh automation, Ascend.io will extend support for lakes and warehouses from centrally supported platforms Spark, Snowflake, and Google BigQuery to involve Amazon Redshift, AWS Glue, Microsoft Azure Synapse, and more.

Experts’ view:

“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. 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,” CEO and founder of Ascend.io, Sean Knapp said.