List of Databricks Unified Analytics 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 Unified Analytics 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 Unified Analytics Platform for ML and Data Science Platforms 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 Unified Analytics Platform for ML and Data Science Platforms include: Shell, a United Kingdom based Oil, Gas and Chemicals organisation with 96000 employees and revenues of $284.31 billion, Zalando, a Germany based Retail organisation with 16516 employees and revenues of $11.24 billion, Magneti Marelli, a Italy based Manufacturing organisation with 50000 employees and revenues of $7.74 billion, Nielsen, a United States based Professional Services organisation with 15000 employees and revenues of $3.50 billion, Red Ventures, a United States based Professional Services organisation with 4500 employees and revenues of $2.00 billion and many others.
Contact us if you need a completed and verified list of companies using Databricks Unified Analytics 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 Machine Learning software purchases.
The Databricks Unified Analytics 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 Machine Learning software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Auto Trader | Retail | 1066 | $649M | United Kingdom | Databricks | Databricks Unified Analytics Platform | ML and Data Science Platforms | 2017 | n/a |
In 2017, Auto Trader implemented Databricks Unified Analytics Platform in the ML and Data Science Platforms category to centralize analytics capability and accelerate model development. Databricks Unified Analytics Platform became the primary environment for collaborative data science and engineering work at the company.
The implementation emphasized a collaborative notebook environment with multi language support for SQL, Scala, Python, and R, enabling specialists to work in a shared workspace. Automated cluster management was configured to simplify provisioning of compute resources at any scale, and the platform was used to build, train and deploy machine learning models within the same analytics fabric.
Operational coverage focused on data science and engineering teams, establishing a shared platform for experimentation, model development, and production handoff. The deployment aligned platform capabilities with standard model lifecycle workflows, including experimentation, training orchestration, and deployment pipelines.
Governance shifted toward platform centric workflows, with collaborative notebooks and centralized compute management fostering closer coordination between analytics and engineering. The adoption is described as having fostered a collaborative environment across data science and engineering and enabled teams to innovate faster, making it easier and faster to build, train and deploy machine learning models.
|
 |
Autotrader.com, Inc. | Retail | 2600 | $635M | United States | Databricks | Databricks Unified Analytics Platform | ML and Data Science Platforms | 2017 | n/a |
In 2017, Autotrader.com, Inc. implemented Databricks Unified Analytics Platform to standardize analytics workflows across its data teams. The deployment targeted data science and engineering functions within the retail organization and positioned the platform in the ML and Data Science Platforms category.
Databricks Unified Analytics Platform provides a collaborative notebook environment with support for SQL, Scala, Python, and R, enabling analysts and engineers to share code, experiments, and visualizations. The implementation leverages automated cluster management to provision compute at scale, simplifying cluster lifecycle operations and reducing manual operational overhead. Teams use the platform to build, train and deploy machine learning models, with the unified analytics workspace supporting experimentation and operationalization workflows.
Operationally the platform is used across data science and engineering teams, fostering collaboration and faster innovation, and governance centers on shared workspace controls and notebook access policies to align workflows. The Databricks Unified Analytics Platform implementation made it easier and faster for Autotrader to progress from model development to deployment, according to the implementation notes.
|
 |
Magneti Marelli | Manufacturing | 50000 | $7.7B | Italy | Databricks | Databricks Unified Analytics Platform | ML and Data Science Platforms | 2017 | n/a |
In 2017, Magneti Marelli implemented the Databricks Unified Analytics Platform. The deployment targeted manufacturing analytics to simplify infrastructure operations and accelerate machine learning use to address engineering and production challenges, reflecting its placement in the ML and Data Science Platforms category and supporting production and quality analytics.
The Databricks Unified Analytics Platform centralized data processing and analytics workloads, introducing scalable compute provisioning, collaborative notebooks, and data engineering pipelines for feature engineering and model training. The platform supported model experimentation and standard ML lifecycle activities including training, validation, and versioning, enabling cross-functional data science workflows and reproducible analytics.
Operational coverage emphasized manufacturing engineering, production analytics, and quality functions, while governance moved toward centralized analytics, standardized pipelines, and reduced operational complexity for infrastructure management. Magneti Marelli used Databricks Unified Analytics Platform to analyze telemetry and process data in new ways that was previously impossible, changing how engineering and operations teams surface insights from large-scale manufacturing data.
|
 |
Nevro | Life Sciences | 1087 | $406M | United States | Databricks | Databricks Unified Analytics Platform | ML and Data Science Platforms | 2017 | n/a |
In 2017, Nevro deployed Databricks Unified Analytics Platform to support ML and Data Science Platforms use cases across the organization. The implementation was positioned under the company business applications roadmap, with the Business Applications leader accountable for aligning Databricks with broader enterprise systems and cross functional priorities.
The Databricks Unified Analytics Platform was configured to deliver core machine learning and data engineering capabilities, including collaborative notebooks, data pipeline orchestration, model training and experimentation, and scheduled jobs for operational analytics. These capabilities were used to standardize development workflows and to centralize data science experimentation and model lifecycle management within a single analytics environment.
Databricks was integrated with the enterprise application stack explicitly listed by Nevro, including Talend for ETL orchestration, Snowflake for data storage and analytical persistence, and Tableau for BI visualization. The platform was also connected with transactional and process systems under Business Applications ownership, namely ERP QAD, CRM SFDC Sales, SFDC Marketing and SFDC Service Cloud, CLM Apttus, Callidus Cloud, Adaptive Insight, CTMS ClinPlus, PLM Arena, LMS Cornerstone, QMS ETQ, and existing GxP systems and processes to support downstream scoring, reporting, and clinical analytics.
Governance for the Databricks implementation was managed centrally through the Business Applications function, with active partnership across Finance, Supply Chain, Quality, Operations, Market Access, Therapy, Clinical Trials, HR, Legal, Services, Sales, and Marketing. Implementation workstreams emphasized integration patterns, data lineage and compliance controls to align ML and Data Science Platforms practices with regulated GxP processes and enterprise reporting requirements.
|
 |
Nielsen | Professional Services | 15000 | $3.5B | United States | Databricks | Databricks Unified Analytics Platform | ML and Data Science Platforms | 2017 | n/a |
In 2017 Nielsen deployed Databricks Unified Analytics Platform as the core foundation for an AI-first strategy, using the Databricks Unified Analytics Platform to consolidate analytics and model development. The implementation targets ML and Data Science Platforms use cases and operates as a highly scalable, fully managed multi-cloud service across AWS and Azure.
The deployment unified data engineering and data science workloads into a single platform, providing a collaborative notebook environment and automated cluster management to simplify provisioning at scale. Functional capabilities implemented include language support for SQL, Scala, Python, and R, collaborative notebooks for shared development, and runtime automation for cluster lifecycle and job orchestration.
Nielsen unified both batch datasets and live stream data from IoT devices within the Databricks Unified Analytics Platform, enabling reuse of code across batch and streaming workloads and integration with deep learning frameworks such as TensorFlow, Keras, and Pytorch. Operational coverage spans data engineering and data science teams, centralizing model development, feature engineering, and analytics pipelines on a common platform.
Governance and workflow consolidation were enabled through the platform’s collaborative environment and managed service model, supporting shared development patterns and reproducible pipelines. The consolidation and code reuse across batch and streaming workloads significantly reduces data engineering effort, and the platform’s multi-language support helps ensure productivity across Nielsen’s analytics and engineering functions.
|
 |
|
Professional Services | 4500 | $2.0B | United States | Databricks | Databricks Unified Analytics Platform | ML and Data Science Platforms | 2016 | n/a |
|
|
|
|
Retail | 2500 | $702M | United States | Databricks | Databricks Unified Analytics Platform | ML and Data Science Platforms | 2016 | n/a |
|
|
|
|
Professional Services | 300 | $90M | United States | Databricks | Databricks Unified Analytics Platform | ML and Data Science Platforms | 2017 | n/a |
|
|
|
|
Oil, Gas and Chemicals | 96000 | $284.3B | United Kingdom | Databricks | Databricks Unified Analytics Platform | ML and Data Science Platforms | 2019 | n/a |
|
|
|
|
Retail | 16516 | $11.2B | Germany | Databricks | Databricks Unified Analytics Platform | ML and Data Science Platforms | 2017 | n/a |
|
Showing 1 to 10 of 10 entries
Buyer Intent: Companies Evaluating Databricks Unified Analytics Platform
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Databricks Unified Analytics Platform. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Databricks Unified Analytics Platform for ML and Data Science Platforms include:
- Analyticorex India, a India based Professional Services organization with 10 Employees
- Reeves Law Firm, a United States based Professional Services company with 10 Employees
- Cudo Ventures, a United Kingdom based Professional Services organization with 40 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||
FAQ - APPS RUN THE WORLD Databricks Unified Analytics Platform Coverage
Databricks Unified Analytics Platform is a ML and Data Science Platforms solution from Databricks.
Companies worldwide use Databricks Unified Analytics Platform, from small firms to large enterprises across 21+ industries.
Organizations such as Shell, Zalando, Magneti Marelli, Nielsen and Red Ventures are recorded users of
Databricks Unified Analytics Platform for ML and Data Science Platforms.
Companies using Databricks Unified Analytics Platform are most concentrated in Oil, Gas and Chemicals, Retail and Manufacturing, with adoption spanning over 21 industries.
Companies using Databricks Unified Analytics Platform are most concentrated in United Kingdom, Germany and Italy, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Databricks Unified Analytics Platform across Americas, EMEA, and APAC.
Companies using Databricks Unified Analytics Platform range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 10%, large organizations with 1,001-10,000 employees - 50%, and global enterprises with 10,000+ employees - 40%.
Customers of Databricks Unified Analytics 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 Unified Analytics Platform customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.