The Ascend Unified Data Engineering Platform Recognized for Its Ability to Significantly Improve Data Engineering Productivity With End-to-End Visibility of Data Pipelines
Palo Ato, CA, May 18, 2021 – Ascend.io, the data engineering company, today announced it has been named a 2021 Gartner Cool Vendor in the “Cool Vendors in Enterprise AI Operationalization and Engineering”1 report. The cloud-native Ascend Unified Data Engineering Platform significantly accelerates the speed at which data teams can build and operationalize data pipelines across distributed data ecosystems. As cited in the Gartner report, “building a data foundation that enables data and analytics leaders to unify existing data foundations and integrate new ones is at the core of any successful AI strategy.”
Gartner research found that more than half of successful AI pilots never make it to the deployment stage. As a result, many data and analytics leaders today are struggling to capture value from their AI investments. To overcome these challenges, data and analytics leaders must evaluate emerging vendors to build enterprise-grade AI platforms or solutions.
“We believe this recognition as a Gartner Cool Vendor is a tremendous honor and further validates what we are seeing in the market. Data pipelines are the backbone of AI and analytics initiatives, but most organizations lack sufficient data engineering resources, creating significant backlogs and preventing data teams from utilizing critical data,” said Sean Knapp, CEO and founder of Ascend.io. “Our platform’s self-service data pipelines dynamically adapt to changes in data, code, and environment, which means customers can rapidly iterate on ETLT to generate greater value from their AI and analytics initiatives than ever before.”
The Gartner report explains that Ascend’s declarative programming delivers on the promise of speed, where the logic of computation is expressed without having to describe the underlying control flow. Ascend.io users also benefit from the platform’s “flex-code” approach, offering low-code functionality with higher-code options for advanced use cases. The report adds that Ascend’s DataAware™ intelligence tracks every piece of data movement and processing, code changes, and user activity, thus ensuring data pipelines run at optimal efficiency and adhere to governance requirements.
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1Gartner, “Cool Vendors in Enterprise AI Operationalization and Engineering,” Chirag Dekate, Farhan Choudhary, Soyeb Barot, Erick Brethenoux, Arun Chandrasekaran, Robert Thanaraj, Georgia O’Callaghan, 27 April 2021
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Ascend.io, the data engineering company, provides the flex-code data platform for autonomous pipelines that frees data teams to spend more time innovating. Data pipelines are the backbone of modern data systems. However, data engineers are overburdened with building and maintaining brittle pipelines, which creates a backlog that prevents data analysts and data scientists from accessing critical information. The Ascend Unified Data Engineering Platform removes these bottlenecks and enables teams to create self-service data pipelines that dynamically adapt to changes in data, code, and environment. In a radical departure from data orchestration solutions that require excessive coding, Ascend democratizes data engineering with 10x faster build velocity, automated maintenance, and 95% less code. DataAware™ intelligence understands and tracks every piece of data, enabling data pipelines to run at optimal efficiency with integrated lineage tracking, auditability, and governance. The cloud-native platform is available fully hosted, as well as for private cloud deployments on Amazon Web Services, Microsoft Azure, or Google Cloud Platform. Ascend.io accelerates the journey from prototype to production and helps leading organizations achieve faster time to value.