List of Databricks Lakehouse Platform Customers
Databricks
160 Spear Street, 15th Floor,
San Francisco, 94105, CA,
United States
San Francisco, 94105, CA,
United States
1 866-330-0121
Professional Services
8000
$4.0B
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 Professional Services organisation with 7000 employees and revenues of $1.00 billion, 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 |
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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 | Professional Services | 7000 | $1.0B | 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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PetSmart | Retail | 56000 | $6.7B | United States | Databricks | Databricks Lakehouse Platform | Data Warehouse | 2021 | n/a |
In 2021, PetSmart implemented the Databricks Lakehouse Platform. The Databricks Lakehouse Platform is deployed as a Data Warehouse to unify data, analytics and AI and to underpin a Customer 360 initiative that drives personalized customer experiences.
The implementation focuses on assembling unified customer profiles and analytics workflows, using the Databricks Lakehouse Platform to centralize raw and transformed datasets, operationalize feature engineering, and enable collaborative analytics and model development. Functional capabilities emphasized in the rollout include profile stitching and enrichment for a Customer 360, analytics and machine learning model development pipelines, and real-time collaboration tools for data scientists and analysts to iterate on personalization logic. PetSmart leverages these capabilities to create end-to-end personalization pipelines that connect data ingest to production scoring and campaign activation.
Governance and operational adoption center on shared analytics workspaces and cross-functional collaboration to empower employees to work in real time, while steering development toward consistent Customer 360 outputs. The stated business outcomes are building personalized experiences, empowering employees to collaborate in real time, and powering meaningful customer engagements at scale through the Databricks Lakehouse Platform as a Data Warehouse solution.
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Buyer Intent: Companies Evaluating Databricks Lakehouse Platform
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Databricks Lakehouse Platform. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Databricks Lakehouse Platform for Data Warehouse include:
- Hanwha Engineering & Construction, a South Korea based Construction and Real Estate organization with 1000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Databricks Lakehouse Platform Coverage
Databricks Lakehouse Platform is a Data Warehouse solution from Databricks.
Companies worldwide use Databricks Lakehouse Platform, from small firms to large enterprises across 21+ industries.
Organizations such as PetSmart, Natura &Co, iFood and Banco BV are recorded users of
Databricks Lakehouse Platform for Data Warehouse.
Companies using Databricks Lakehouse Platform are most concentrated in Retail, Consumer Packaged Goods and Professional Services, with adoption spanning over 21 industries.
Companies using Databricks Lakehouse Platform are most concentrated in United States and Brazil, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Databricks Lakehouse Platform across Americas, EMEA, and APAC.
Companies using Databricks Lakehouse Platform range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 50%, and global enterprises with 10,000+ employees - 50%.
Customers of Databricks Lakehouse Platform include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Databricks Lakehouse Platform customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Data Warehouse.