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Y42 launches the first Modern DataOps Cloud to offer fully managed environment for running production-ready data pipelines

Y42 announced a global relaunch of their entire product. Running on top of Snowflake and BigQuery, Y42 is the only solution that effectively leverages software engineering and product management best practices simultaneously - adapted for the data world - allowing data teams to be productive quickly.

Y42 launched in 2020, offering a no-code approach to building and managing data pipelines. The next evolution of the product has been designed to address the core problems businesses face around data, including accessibility, lack of governance, and collaboration challenges - all of which jeopardize critical decision-making and efficiency. With the introduction of the first Modern DataOps Cloud, Y42 helps businesses overcome these exact issues today, while also providing them with a future-proof onramp toward scalable data management as their business and data needs grow. A series of advanced technical capabilities, such as version control on data tables, data contracts, and collaboration features, to name a few, are now integral to every step of the pipeline.

CEO and Founder, Hung Dang, comments: "The use case for data has moved beyond ad-hoc reporting to become the very lifeblood of a company. However, data pipelines built ad-hoc are inherently brittle and inevitably break over time, leading to an overflow of fire-fighting requests and, ultimately, mistrust in business data. For organizations that rely on data to make mission-critical decisions, this can be fatal. Our vision is for every organization - whether it has one single data engineer, data analyst, or a whole data team - to be able to create and run production-ready data pipelines efficiently and consume data in any downstream application to make better business decisions. The Y42 Modern DataOps Cloud makes this vision a reality - today."

Product overview and new features

Key features of Y42, which runs on top of the Snowflake and BigQuery cloud data warehouses, include:

  • Increased accessibility to data through a fully managed and accessible data stack. Y42 natively integrates best-of-breed open-source data tools (such as Airbyte for integration and dbt Core for transformations) and removes the operational burden of setup and maintenance. Users can access the data stack via the Y42 webapp, a command line interface, or APIs.
  • Better governance and control within organizations, because organizations can finally benefit from full observability and monitoring across every data operation and leverage a comprehensive data governance suite, including a data catalog, asset ownership, data contracts, and multi-level access control.
  • Facilitating better collaboration between teams with best practices from collaboration tooling and software engineering, such as consistent version control across the entire data operations enabled by Git.
Published Wednesday, November 02, 2022 9:31 AM by David Marshall
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