AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

List of Databricks SQL Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
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.
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.
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.
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

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Databricks SQL. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Databricks SQL for AI Database include:

  1. Indiana University, a United States based Education organization with 21100 Employees
  2. Harvard University, a United States based Education company with 19000 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 SQL Coverage

Databricks SQL is a AI Database solution from Databricks.

Companies worldwide use Databricks SQL, from small firms to large enterprises across 21+ industries.

Organizations such as Al-Futtaim Group, ABN AMRO, Quilter and Casetagram are recorded users of Databricks SQL for AI Database.

Companies using Databricks SQL are most concentrated in Professional Services, Banking and Financial Services and Retail, with adoption spanning over 21 industries.

Companies using Databricks SQL are most concentrated in United Arab Emirates, Netherlands and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Databricks SQL across Americas, EMEA, and APAC.

Companies using Databricks SQL 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 - 25%, and global enterprises with 10,000+ employees - 50%.

Customers of Databricks SQL 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 SQL customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of AI Database.