Brings Autopilot to Snowflake with Data Automation Cloud

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Snowflake Users Gain Access to a Full-Spectrum of Data and Analytics Engineering Automation with Unified Data Ingestion, Transformation, Delivery, Orchestration, and Observability

MENLO PARK, Calif.–(BUSINESS WIRE)–, the Data Automation Cloud, immediately introduced that clients of Snowflake, the Data Cloud Company, can now put workloads on autopilot with a single platform. Ascend’s Data Automation Cloud unifies the core capabilities an information engineer wants—knowledge ingestion, transformation, supply, orchestration, and observability—right into a seamless expertise. Backed by Ascend’s highly effective DataConscious™ intelligence, Ascend’s Data Automation Cloud analyzes and displays end-to-end workflows, monitoring and optimizing the motion of up to trillions of data, and dynamically responds to modifications in knowledge, schema, and code inside seconds, giving Snowflake clients essentially the most superior autopilot system accessible for the information and analytics workloads that energy their enterprise.
This press launch options multimedia. View the total launch right here: Ascend Data Automation Cloud (Graphic: Business Wire)
“The mixture of Ascend and Snowflake is a strong power multiplier for our enterprise. Komodo’s knowledge engineering workforce is answerable for the supply of business-critical workloads which are exponentially rising as we proceed to improve the constancy and completeness of our Healthcare Map,” mentioned Laurent Bride, Chief Technology Officer at Komodo Health. “The scale and energy of Snowflake mixed with the acceleration and automation of Ascend allows us to not solely tackle new knowledge challenges and workloads, however ship outcomes quicker than ever earlier than.”

Increasing Developer Productivity a Top Priority

With a current survey discovering that 96% of information groups are at or over capability, developer productiveness is shortly turning into the primary precedence for knowledge groups. A primary for the Snowflake ecosystem, Ascend brings collectively all points of information workloads, and in doing so, eliminates the necessity for advanced customized code and stand-alone instruments, liberating customers to concentrate on constructing enterprise and analytics workflows 10x quicker. Ascend unifies the creation and automation of information workflows with:

Data Ingestion: Integrate with and ingest knowledge from any service, wherever together with knowledge lakes, warehouses, databases, queues/stream processing companies, APIs, and different functions

Data Transformation: Build and run knowledge transformations in SQL, Python, Java, and Scala with Ascend’s multi-language flex-code interface

Data Delivery: Seamlessly ship processed knowledge to BI, analytics, machine studying, and AI instruments

Data Orchestration: Design knowledge workflows as modular pipelines, configure fine-grained knowledge entry controls, join workflows with assured dependency administration, and set them to run repeatedly

Data Observability: Quickly view knowledge lineage, knowledge profiles, job and consumer logs, system well being, and different vital workload metrics at a look

“Snowflake is targeted on enabling our clients to get elevated worth from their quickly rising knowledge units, and partnering with corporations like Ascend is a vital part to doing simply that,” mentioned Tarik Dwiek, Head of Technology Alliances at Snowflake. “By leveraging Snowflake’s scale together with Ascend’s unified knowledge and analytics engineering capabilities, knowledge groups can speed up productiveness and time to worth for knowledge workloads and extra merely obtain true knowledge engineering success.”

Autopiloting Data Workloads with DataConscious

With the continued problem of information workforce productiveness, many organizations are turning to automation to assist. The Ascend Data Automation Cloud, powered by Ascend DataConscious, delivers essentially the most superior automation for knowledge and analytics engineering workloads. Ascend DataConscious works repeatedly within the background to assure knowledge integrity and optimize knowledge workloads, lowering time spent on upkeep by up to 90%. Ascend DataConscious automates essentially the most advanced knowledge engineering challenges with one-of-a-kind, superior options together with:

Continuous code and knowledge lineage monitoring and alter detection

Automatic propagation of any change in code or knowledge, from level of change

Checkpointing for each rework, enabling ultra-fast debugging and level of failure restart

Continuous schema validation throughout all linked workloads earlier than any workflow is run

Schema drift detection with clever heuristics and fine-grained notifications

Instant roll-back to earlier workflow state with zero re-processing

Incremental processing for workload and value management

“Data is the bedrock of immediately’s enterprises, and it’s no shock why Snowflake is an integral a part of that basis for thus many organizations. We at Ascend—and our clients—love Snowflake for its exceptional efficiency and talent to assist such a big selection of information workloads,” mentioned Sean Knapp, Founder and CEO at “Expanding the Ascend Platform to run natively on Snowflake was the clear subsequent step for us to ship industry-leading capabilities, and we’re excited to take our partnership to the following degree. In doing so, Ascend will allow extra customers than ever earlier than to automate—and unify—their knowledge and analytics workloads on Snowflake.”

The Ascend Unified Data Engineering Platform on Snowflake is now typically accessible. To be taught extra, please go to the web site.

Additional Resources

About, the information engineering firm named a 2021 Gartner Cool Vendor, offers essentially the most superior automation for knowledge and analytics engineering workloads. Ascend unifies the core capabilities of information engineering—knowledge ingestion, transformation, supply, orchestration, and observability—right into a single platform in order that knowledge groups ship 10x quicker. With 96% of information groups already at or over capability, engineering productiveness is a high precedence for enterprises. Ascend’s Flex-code consumer interface empowers any member of the information workforce—from knowledge engineers to knowledge scientists to knowledge analysts—to shortly and simply construct and ship on the information and analytics workloads they want. And with Ascend’s DataConscious™ intelligence, knowledge groups now not spend hours fastidiously orchestrating brittle knowledge workloads and as an alternative depend on superior automation to optimize your entire knowledge lifecycle. Ascend runs natively on knowledge lakes and warehouses and in AWS, Google Cloud and Microsoft Azure.
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Andrew Smith
Bhava Communications for
[email protected]
+1 (310) 941-7251


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