# y42 **Source:** https://geo.sig.ai/brands/y42 **Vertical:** Modern Data Stack & Analytics Engineering **Subcategory:** Full-Stack Data Platform **Tier:** Emerging **Website:** y42.com **Last Updated:** 2026-04-14 ## Summary Berlin Germany full-stack data platform; raised $31M+; combines ELT pipeline, dbt-based transformation, and BI in a single no-code/low-code environment. ## Company Overview 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. ## Frequently Asked Questions ### What is the advantage of y42's integrated data platform approach? y42 integrates ELT ingestion, dbt-based transformation, and BI in a single platform, reducing the operational overhead of managing separate tools for each layer. Teams get unified authentication, monitoring, and support, and the layers are pre-integrated so data flows from source through transformation to dashboard without custom connector or lineage setup. This integration is valuable for smaller data teams without the resources to manage a complex multi-vendor data stack. ### Does y42 use dbt under the hood? Yes. y42's transformation layer is powered by dbt Core under the hood, generating dbt-compatible YAML and SQL that runs natively in the customer's data warehouse. Analytics engineers familiar with dbt can write models using standard dbt syntax and benefit from dbt's testing and documentation features within y42's visual interface. Projects can also be exported as standard dbt projects for portability. ### Which regions does y42 target and why? y42 has a strong focus on the European market, driven by its Berlin headquarters, GDPR-compliant data infrastructure with EU data residency, and early customer base in the German-speaking and broader European tech ecosystem. European data teams appreciate y42's single-vendor model, EU data residency guarantees, and the simplicity of an integrated platform compared to assembling and integrating multiple US-based SaaS tools with different data handling policies. ### What is y42 and how does it serve analytics teams? y42 is a full-stack data platform that combines data ingestion from 200+ sources, data transformation with a visual dbt-based editor, and business intelligence in a single integrated SaaS product, allowing analytics engineers and data teams to build their entire data pipeline without stitching together separate tools. ### How does y42 integrate dbt into its platform? y42 uses dbt as the transformation engine under the hood, exposing dbt's modeling power through a visual interface that lets analysts build and manage data models without writing all logic in raw SQL files, while still generating standard dbt code that is portable to other environments. ### What data sources does y42 support for ingestion? y42 supports 200+ pre-built connectors to SaaS applications, databases, cloud storage, and event streams, with new connectors continuously added, covering the breadth of sources that analytics teams need to consolidate into their cloud data warehouse. ### How does y42's visual transformation editor work? y42's visual editor allows users to build transformation pipelines by dragging and connecting data nodes representing sources, SQL transformations, joins, and destinations, automatically generating the underlying dbt SQL code while providing a visual overview of the data model structure. ### What data warehouses does y42 support as destinations? y42 supports Google BigQuery, Snowflake, Amazon Redshift, and other cloud data warehouses as transformation and analysis targets, loading raw data from sources and running transformed models within the customer's chosen warehouse environment. ## Tags data-warehouse, analytics, saas, b2b, platform, cloud-native, no-code, startup, europe, developer-tools --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*