List of Microsoft Databricks Customers
Microsoft
One Microsoft Way,
Redmond, 98052-6399, WA,
United States
Redmond, 98052-6399, WA,
United States
1 425-882-8080
Professional Services
221000
$243.0B
Since 2010, our global team of researchers has been studying Microsoft Databricks 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 Microsoft Databricks for Database Management 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 Microsoft Databricks for Database Management include: CVS Health, a United States based Healthcare organisation with 219000 employees and revenues of $372.81 billion, Moneris, a Canada based Professional Services organisation with 1300 employees and revenues of $700.0 million, RBC Brewin Dolphin, a United Kingdom based Banking and Financial Services organisation with 2200 employees and revenues of $617.0 million, Scene+, a Canada based Professional Services organisation with 60 employees and revenues of $8.0 million and many others.
Contact us if you need a completed and verified list of companies using Microsoft Databricks, 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 Microsoft Databricks 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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CVS Health | Healthcare | 219000 | $372.8B | United States | Microsoft | Microsoft Databricks | Database Management | 2018 | n/a | In 2018, CVS Health implemented Microsoft Databricks as a Database Management platform to establish a clinical data lake and scale customer personalization and segmentation use cases. The initiative targeted pharmacy customers across CVS Health's roughly 10,000 stores and was driven by platform use cases such as Delta Lake, machine learning, and ETL on Azure to manage high dimensionality and unpredictable customer behavior. Early experimentation in a Hadoop environment led to constrained processing and storage capacity, which informed the decision to use a cloud native data platform that could spin up elastic compute for diverse workloads. Microsoft Databricks was configured to support Delta Lake tables for reliable storage and ACID compliant ETL, interactive notebooks for collaborative model development, and automated ML workflows for customer segmentation and experimentation. Data engineering focused on building faster data pipelines and operationalizing ETL into the Delta Lake, while data scientists trained machine learning models at scale and data analysts consumed model outputs and operational metrics through Tableau. The implementation emphasized centralized assets and shared notebooks to remove silos and accelerate iteration across teams. The architecture ran on Azure with Databricks clusters provisioned on demand to remove physical hardware constraints and to support a portfolio of personalization experiments. Integrations explicitly included Tableau for visualization and the broader Azure platform for cloud compute and storage, enabling orchestration of batch ETL and model scoring jobs. Operational coverage included targeted offers, channel optimization experiments such as text versus phone outreach, and behaviorally timed communications like prescription renewal reminders. Governance centered on collaborative workflows, centralized data assets in the Delta Lake, and standardized experimentation frameworks that allowed controlled expansion of personalized campaigns. With Microsoft Databricks as the analytics foundation, CVS Health increased the ability to predict customer behavior, tailor offers, and detect potential medication side effects, and reported a 1.6% improvement in medication adherence as an explicit outcome of the effort. | |
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Moneris | Professional Services | 1300 | $700M | Canada | Microsoft | Microsoft Databricks | Database Management | 2021 | n/a | In 2021 Moneris implemented Microsoft Databricks to centralize big data processing and analytics for Portfolio Risk Management and Enterprise Risk. Microsoft Databricks was provisioned as the Database Management platform to host PySpark processing, model training workloads, and shared analytical artifacts used by the risk analytics organization. The implementation emphasized data ingestion and transformation pipelines, feature engineering with PySpark, notebook based model development in Python and R, and the operationalization of machine learning and statistical models used for regression, forecasting and risk scoring. Analytical capabilities were exposed as data products and dashboards, with SQL access for ad hoc analysis and downstream consumption via Tableau and Power BI to support reporting and decision workflows. Deployment and operational coverage centered on the Portfolio Management Data Analytics team reporting to the VP, Merchant Portfolio Risk Management, operating in a Toronto hybrid model. The Databricks environment was used to support cross functional stakeholders in Sales, Operations, Finance and Technology and to ingest and analyze inputs from external partners such as third party acquirers, credit reporting agencies and bureaus for credit and fraud risk assessment. Data governance and operational controls were embedded in the rollout, with explicit enforcement of enterprise data definitions in operational reports, tools and dashboards within the Data Governance framework. The manager role included routine reconciliation activities, the design and execution of an audit methodology to measure data quality and verify usability across historical reports, and coordination with Data Platforms and Product teams to implement models for operational and risk management purposes. Strategic objectives for Microsoft Databricks at Moneris included building advanced analytics and machine learning tools to measure acquiring risks, funding advance risks, credit exposures and fraud exposures, and to create reusable Moneris data products to support risk based decision making. Continued work emphasis included model deployment, maintenance, and ensuring analytical outputs complied with governance definitions and auditability requirements. | |
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RBC Brewin Dolphin | Banking and Financial Services | 2200 | $617M | United Kingdom | Microsoft | Microsoft Databricks | Database Management | 2021 | n/a | In 2021, RBC Brewin Dolphin implemented Microsoft Databricks to advance its Database Management capabilities and establish a centralized data lakehouse as the new data platform. The implementation is framed as a data engineering and analytics initiative led by the firm’s data engineering team, with Microsoft Databricks serving as the core processing and storage layer for transformed business data. The deployment follows a lakehouse architecture with bronze, silver, and gold layers. Data engineering work included designing and developing Facts and Dimensions in the gold layer, building extract transform and load pipelines in Azure Data Factory to ingest raw sources into the bronze layer, and creating SQL views in the silver and gold layers to prepare data for reporting. A metadata driven framework was developed using Python and PySpark to orchestrate loading into the silver and gold layers, and Azure SQL DB was used as ancillary metadata and staging storage. Integrations explicitly implemented include Azure Data Factory, Azure SQL DB, and Power BI for downstream analytics. The environment operates in a hybrid configuration with Databricks and cloud data pipelines coexisting alongside on premises SQL Server 2016 and SSIS components, enabling continuity of the existing on premises data warehouse while the lakehouse is built out. Governance and operational changes centered on the metadata driven framework to standardize loading and transformation processes, and close collaboration between data engineers and data analysts to model Power BI datasets. The work scope targeted data engineering and analytics functions, and prioritized modular data models in Microsoft Databricks to support business reporting and dataset consumption. | |
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Professional Services | 60 | $8M | Canada | Microsoft | Microsoft Databricks | Database Management | 2020 | n/a |
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Buyer Intent: Companies Evaluating Microsoft Databricks
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Microsoft Databricks. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Microsoft Databricks for Database Management include:
- Novus, a Canada based Communications organization with 100 Employees
- Sync Computing, a United States based Professional Services company with 20 Employees
- InCommodities, a Denmark based Utilities organization with 165 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Microsoft Databricks Coverage
Microsoft Databricks is a Database Management solution from Microsoft.
Companies worldwide use Microsoft Databricks, from small firms to large enterprises across 21+ industries.
Organizations such as CVS Health, Moneris, RBC Brewin Dolphin and Scene+ are recorded users of
Microsoft Databricks for Database Management.
Companies using Microsoft Databricks are most concentrated in Healthcare, Professional Services and Banking and Financial Services, with adoption spanning over 21 industries.
Companies using Microsoft Databricks are most concentrated in United States, Canada and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Microsoft Databricks across Americas, EMEA, and APAC.
Companies using Microsoft Databricks range from small businesses with 0-100 employees - 25%, 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 - 25%.
Customers of Microsoft Databricks 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 Microsoft Databricks customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Database Management.