AI Buyer Insights:

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

List of Databricks Unified Analytics Platform Customers

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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.
Life Sciences 1087 $406M United States Databricks Databricks Unified Analytics Platform ML and Data Science Platforms 2017 n/a
Professional Services 15000 $3.5B United States Databricks Databricks Unified Analytics Platform ML and Data Science Platforms 2017 n/a
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:

  1. Analyticorex India, a India based Professional Services organization with 10 Employees
  2. Reeves Law Firm, a United States based Professional Services company with 10 Employees
  3. 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
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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.