y42 vs IBM
Side-by-side comparison of AI visibility scores, market position, and capabilities
Berlin Germany full-stack data platform; raised $31M+; combines ELT pipeline, dbt-based transformation, and BI in a single no-code/low-code environment.
About
y42 is a full-stack data platform founded in 2020 and headquartered in Berlin, Germany. The company was founded by Hung Dang and Fabian Schuh to build a unified platform that covers the entire modern data stack — ELT data ingestion, dbt-based SQL transformation, and business intelligence visualization — in a single integrated product. y42's thesis is that the fragmentation of the modern data stack, while enabling best-of-breed component selection, also creates significant operational overhead from maintaining multiple tools with separate authentication, monitoring, and support relationships. y42 integrates these layers into a single, cloud-hosted environment.\n\ny42 raised $31 million in funding from investors including Sequoia Capital, La Famiglia, and Creandum. The platform's ELT component provides pre-built connectors to more than 200 data sources, with the data delivered directly into the customer's own cloud data warehouse — Snowflake, BigQuery, or Redshift — ensuring data ownership and compliance. The transformation layer is powered by dbt under the hood, allowing analytics engineers familiar with dbt to work in their existing paradigm while benefiting from y42's visual interface and managed execution. The BI layer provides a drag-and-drop dashboard builder that connects to the transformed data models in the warehouse.\n\ny42 is particularly popular in the European market among data teams at growing technology companies and scale-ups that want the full modern data stack without the complexity of managing and integrating three or four separate tools. Its single-vendor support model and GDPR-compliant European data infrastructure make it a strong fit for EU-based organizations with compliance requirements.
Armonk NY hybrid cloud and enterprise AI (NYSE: IBM) at $62.8B revenue; $6B+ generative AI bookings, record $12.7B free cash flow 2024, DataStax acquisition for watsonx vector database competing with Microsoft Azure for enterprise AI.
About
International Business Machines Corporation (IBM) is an Armonk, New York-based global technology and consulting company — publicly traded on the New York Stock Exchange (NYSE: IBM) as an S&P 500 component — providing hybrid cloud infrastructure, artificial intelligence software, and enterprise IT consulting through approximately 270,300 employees in 170 countries with $62.8 billion in annual revenue. Founded on June 16, 1911, as Computing-Tabulating-Recording Company through a merger orchestrated by financier Charles Ranlett Flint, renamed IBM in 1924 under Thomas Watson Sr., IBM has undergone multiple strategic transformations over its 110+ year history: building the System/360 mainframe platform (1964), launching the IBM PC (1981), selling the PC division to Lenovo (2005, $1.75B), and completing the $34 billion Red Hat acquisition (2019) that repositioned IBM as a hybrid cloud platform company. CEO Arvind Krishna (appointed April 2020) has focused IBM's strategy on three areas: hybrid cloud (powered by Red Hat OpenShift, the enterprise Kubernetes platform), AI (the watsonx platform for enterprise AI model development and deployment), and enterprise consulting. Under Krishna, IBM recorded $12.7 billion in free cash flow in 2024 (a company record), surpassed $6 billion in generative AI bookings since June 2023, and saw the stock price double — trading at all-time highs through 2024-2025. IBM announced the DataStax acquisition in 2025 to deepen watsonx's data layer with AstraDB (vector database for AI applications), DataStax Enterprise (Apache Cassandra), and Langflow (low-code AI agent development).
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