List of Databricks SQL Customers
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Since 2010, our global team of researchers has been studying Databricks SQL 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 SQL for AI Database 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 SQL for AI Database include: Al-Futtaim Group, a United Arab Emirates based Professional Services organisation with 33000 employees and revenues of $12.74 billion, ABN AMRO, a Netherlands based Banking and Financial Services organisation with 22267 employees and revenues of $10.44 billion, Quilter, a United Kingdom based Banking and Financial Services organisation with 3005 employees and revenues of $5.10 billion, Casetagram, a Hong Kong based Retail organisation with 90 employees and revenues of $5.0 million and many others.
Contact us if you need a completed and verified list of companies using Databricks SQL, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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ABN AMRO | Banking and Financial Services | 22267 | $10.4B | Netherlands | Databricks | Databricks SQL | AI Database | 2022 | n/a |
In 2022, ABN AMRO implemented Databricks SQL as part of a modernization of its data platform. Databricks SQL, in the AI Database category, was deployed to power finance, fraud detection analytics and marketing automation across the Netherlands and broader Europe.
The implementation centralized SQL analytics and query serving within the Databricks data platform, enabling analysts and data scientists to develop dashboards and promote models into production. Functional capabilities implemented included managed SQL query execution, analytic data consolidation and model promotion workflows to operational environments.
Operational coverage extended to more than 500 users across analytics and data science teams, supporting finance, fraud detection and marketing automation business functions. The deployment unlocked hundreds of new analytics and ML use cases and reportedly accelerated time to market for use case delivery by approximately 10 times.
Governance and rollout emphasized productionization practices and centralized query governance on Databricks SQL, enabling teams to deliver repeatable dashboards and models into production. The program scaled access and production workflows across national and regional teams in the Netherlands and broader Europe without naming external implementation partners.
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Al-Futtaim Group | Professional Services | 33000 | $12.7B | United Arab Emirates | Databricks | Databricks SQL | AI Database | 2022 | n/a |
In 2022, Al-Futtaim Group implemented Databricks SQL on a Databricks Lakehouse to consolidate customer and operational data from more than 200 brands. The deployment positioned Databricks SQL as an AI Database for centralized analytics across the UAE and the Middle East, supporting CRM, marketing personalization, and supply-chain forecasting use cases. The initiative targeted corporate functions spanning marketing, sales, supply chain, and CRM operations.
Databricks SQL was configured to provide query scale for interactive analytics, dashboarding, and batch query pipelines that feed personalization and forecasting models. Functional capabilities implemented include SQL analytics, BI connectivity, and production query serving for personalized campaign segmentation and demand forecasting. The implementation used schema and table designs in the Lakehouse to enable unified customer and operational subject areas.
The Lakehouse consolidated data feeds from customer records, marketing platforms, retail point of sale, and supply-chain systems to create single source datasets for Databricks SQL analytics. Integrations delivered queryable materialized views and analytics tables consumed by CRM and marketing systems for campaign execution and by supply-chain planning workflows for inventory forecasting. Operational coverage included brand operations across the UAE and broader Middle East markets.
Governance was organized around centralized data access controls, cataloging of datasets, and standardized analytics workflows to ensure consistent segmentation and forecast signals. Rollout emphasized productionization of SQL queries and dashboards for campaign teams and supply-chain planners, with defined stewardship for subject area datasets. The program centralized analytics on the Databricks Lakehouse platform to reduce fragmentation across brands.
Reported outcomes tied directly to the Databricks SQL deployment include 4x faster time to insight, approximately 10 percent uplift in automotive sales for targeted campaigns, and a 30 percent reduction in inventory holding costs. Databricks SQL accelerated delivery of CRM driven personalization and supply-chain forecasting use cases, enabling more responsive campaign execution and inventory decisions. The implementation demonstrates Al-Futtaim Group applying an AI Database to operational analytics at scale.
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Casetagram | Retail | 90 | $5M | Hong Kong | Databricks | Databricks SQL | AI Database | 2023 | n/a |
In 2023, Casetagram implemented Databricks SQL as an AI Database to unify global e-commerce, marketing and transactional data into a centralized analytics environment. Databricks SQL serves as the query and semantic layer, enabling ad hoc analysis, scheduled reporting and support for marketing mix modeling and AI-driven personalization across the company's worldwide customer base. The deployment consolidated data ingestion and storage workflows into a single analytics fabric to remove fragmented reporting silos.
The implementation emphasized SQL-native analytics and model operationalization, with Databricks SQL powering analytics queries, reusable feature sets for personalization and the analytical workloads for marketing mix modeling. Data transformation pipelines were standardized using SQL based transformations to reduce ETL complexity and centralize metrics for dashboards. The configuration supported increased dashboard activity and simplified the handoff between analytics and campaign execution.
Operational scope covered e-commerce, marketing and analytics teams serving a worldwide customer base, with Databricks SQL delivering BI views and AI inference features into marketing campaigns and personalized customer experiences. Governance was tightened around centralized query semantics and role based access to analytical datasets to stabilize reporting and control data transformation processes. Casetagram reports double-digit year-over-year growth in repeat-customer revenue, a 20% reduction in data transformation costs and thousands more dashboard views per week following the Databricks SQL deployment.
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Banking and Financial Services | 3005 | $5.1B | United Kingdom | Databricks | Databricks SQL | AI Database | 2014 | n/a |
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Buyer Intent: Companies Evaluating Databricks SQL
- Indiana University, a United States based Education organization with 21100 Employees
- Harvard University, a United States based Education company with 19000 Employees
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