Ascend Releases the Structured Data Lake Platform

Ascend, provider an  Autonomous Dataflow Service, is releasing its Structured Data Lake, allowing users to directly connect their existing data processing engines, notebooks, and BI tools to Ascend’s optimized data management system.

Data scientists, architects, and engineers can build on top of a common data lake that automatically ensures data integrity, tracks data lineage, and optimizes performance.

With the Ascend Dataflow Control Plane intelligently managing data storage across the data lifecycle, the Structured Data Lake delivers faster time-to-value for users across the enterprise and decreases overall data management costs.

“We’re excited to extend the value of Ascend to an even larger user base,” said Sean Knapp, founder and CEO of Ascend. “The release of the Structured Data Lake is a huge step forward for accelerating the data development lifecycle. Teams can not only access more data than ever before, but can do so with confidence and security at any stage of development. And, with easy integration into the broader ecosystem, we are eliminating siloed access based on preferred tools or skills.”

Backing Ascend’s Autonomous Dataflow Service is a highly optimized data store that is managed by Ascend’s Dataflow Control Plane. This intelligent data management is what unlocked Queryable Dataflows–bringing the interactivity of data warehouses to the scale of pipelines–and now extends the traditional data lake architectures with structured, secure, and optimized access to data flowing across the enterprise.

With Ascend’s Structured Data Lake, all managed data is unified and dynamically synchronized with the pipelines that operate on it, making even mid-pipeline data sets available to existing processing engines such as external Apache Spark, Presto, or Apache Hadoop, as well as to familiar tools such as Jupyter and Zeppelin notebooks, all with no additional code or management complexity.

The automated and intelligent management of Ascend’s Structured Data Lake introduces a number of capabilities, including:

  • Trusted data integrity
  • Deduplication of redundant storage and operations
  • Automated storage maintenance

For more information about this release, visit