List of Databricks Lakehouse Platform Customers
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Since 2010, our global team of researchers has been studying Databricks Lakehouse Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Databricks Lakehouse Platform for Data Warehouse from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Databricks Lakehouse Platform for Data Warehouse include: PetSmart, a United States based Retail organisation with 56000 employees and revenues of $6.68 billion, Natura &Co, a Brazil based Consumer Packaged Goods organisation with 19000 employees and revenues of $5.52 billion, iFood, a Brazil based Distribution organisation with 5539 employees and revenues of $991.0 million, Banco BV, a Brazil based Banking and Financial Services organisation with 4464 employees and revenues of $450.0 million and many others.
Contact us if you need a completed and verified list of companies using Databricks Lakehouse Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Databricks Lakehouse Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Banco BV | Banking and Financial Services | 4464 | $450M | Brazil | Databricks | Databricks Lakehouse Platform | Data Warehouse | 2019 | n/a | In 2019, Banco BV implemented Databricks Lakehouse Platform as its Data Warehouse to centralize analytics for CRM, Data Science, Digital and Business Analytics. The initiative was driven by the Head of CRM, Data Science, Digital and Business Analytics as part of a corporate analytics at scale strategy focused on small high value projects to secure executive sponsorship. The deployment positioned Databricks Lakehouse Platform to serve as a unified data engineering and machine learning environment, consolidating cloud data lakes, Hadoop and Spark processing, and DataOps pipelines. Functional capabilities implemented included data ingestion and ETL, centralized feature engineering for models, model training and operationalization, and BI consumption layers to support Tableau and PowerBI reporting. Integrations explicitly included Salesforce Marketing Cloud and InteractionStudio to operationalize personalized CRM communications, with machine learning and AI models used to determine who to send, what to send, when to send and which channel to use. Operational coverage spanned CRM, marketing, data science and business analytics teams and was organized into Agile tribes and squads to accelerate delivery and reuse of analytic assets. Governance and compliance were integral to the rollout, with centralized ownership for engineering, architecture, governance and LGPD data privacy controls, plus investments in data literacy, hiring and retention to support adoption. Measurement practices included test and control methodologies and a culture of continuous learning to drive campaign measurement and broader data driven decision making. | |
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iFood | Distribution | 5539 | $991M | Brazil | Databricks | Databricks Lakehouse Platform | Data Warehouse | 2021 | n/a | In 2021, iFood implemented Databricks Lakehouse Platform as a Data Warehouse to centralize marketing, competitive intelligence, and operational datasets used by the Insights and Market Intelligence squad. The deployment targeted ingestion, processing, and analytics workflows to support logistics, customer experience, finance, and marketing decision making across the organization. The Databricks Lakehouse Platform implementation emphasized notebook driven data engineering and managed Delta Lake storage, enabling batch and interactive ETL pipelines constructed with Python, SQL, and Pandas for data cleaning and feature preparation. Functional capabilities included orchestrated data ingestion, transformation pipelines, interactive analytics notebooks, and curated tables for business intelligence consumption and reporting. Operational integrations aligned with the platform were Apache Airflow for pipeline orchestration and Tableau for dashboard and report delivery, with SQL endpoints and notebooks producing analyst dashboards and ad hoc queries. Governance practices focused on role based access within Databricks, standardized notebooks and shared SQL artifacts to support cross functional workflows in logistics, customer experience, finance and marketing, while the Insights and Market Intelligence squad centralized analytics production and distribution using the Databricks Lakehouse Platform. | |
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Natura &Co | Consumer Packaged Goods | 19000 | $5.5B | Brazil | Databricks | Databricks Lakehouse Platform | Data Warehouse | 2019 | n/a | In 2019, Natura &Co implemented Databricks Lakehouse Platform. Databricks Lakehouse Platform was deployed as a Data Warehouse to support commercial planning and demand planning business functions across the group of brands, aligning analytics and data engineering workstreams with enterprise planning needs. The implementation established a lakehouse architecture combining raw ingestion and curated analytics layers, with ELT pipelines, data engineering and feature preparation capabilities feeding analytics and model training workloads. The Databricks Lakehouse Platform provided unified data management, cataloging and queryable datasets suitable for advanced analytics and predictive modeling used by demand planners and S&OP practitioners. Operational integration focused on commercial planning processes, demand planning data flows and the broader enterprise data estate, working with internal Architecture, Data, Cyber and Infrastructure teams to ensure adherence to Natura &Co reference architectures. The platform centralized ingestion from transactional and planning data sources, supported BI consumption patterns and provided a single analytics fabric for analysts and data scientists supporting the commercial planning area. Governance and rollout emphasized business requirement gathering, process mapping and impact analysis for system and data changes, with agile delivery practices to coordinate IT and business stakeholders. The program explicitly targeted improving the accuracy of demand planning and enforced alignment with internal architecture and security standards while enabling root cause analysis and operational support for commercial planning systems. | |
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Retail | 56000 | $6.7B | United States | Databricks | Databricks Lakehouse Platform | Data Warehouse | 2021 | n/a |
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Buyer Intent: Companies Evaluating Databricks Lakehouse Platform
- Hanwha Engineering & Construction, a South Korea based Construction and Real Estate organization with 1000 Employees
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