List of Vertica Analytics Platform Customers
Vertica Systems
150 Cambridgepark Dr,
Cambridge, 02140-2370, MA,
United States
Cambridge, 02140-2370, MA,
United States
1 617-386-4400
Professional Services
120
$12M
Since 2010, our global team of researchers has been studying Vertica 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 Vertica 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 Vertica Analytics Platform for ML and Data Science Platforms include: UBS, a Switzerland based Banking and Financial Services organisation with 106789 employees and revenues of $57.05 billion, SiriusXM, a United States based Media organisation with 5680 employees and revenues of $8.95 billion, Square, a United States based Professional Services organisation with 12428 employees and revenues of $7.68 billion, Riot Games, a United States based Media organisation with 4200 employees and revenues of $1.50 billion, The Washington Post, a United States based Media organisation with 2500 employees and revenues of $620.0 million and many others.
Contact us if you need a completed and verified list of companies using Vertica 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 Vertica 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
LOCKON | Professional Services | 140 | $22M | Japan | Vertica | Vertica Analytics Platform | ML and Data Science Platforms | 2017 | n/a |
In 2017, LOCKON implemented Vertica Analytics Platform to power its new Audience EBiS service which measures and evaluates people’s exposure to marketing contents. LOCKON, a Japan-based market analysis company, launched Audience EBiS to capture event level marketing exposure and engagement data across client campaigns, with an implementation scoped for high volume and high velocity data processing.
Vertica Analytics Platform served as the core analytical engine within the ML and Data Science Platforms category, providing columnar storage, massively parallel processing and in platform SQL to support real time querying, sessionization and audience attribution workflows. The platform configuration emphasized high throughput ingestion and analytical pipelines to enable event level segmentation, cohort analysis and fast ad hoc exploration consistent with audience measurement use cases.
Operational coverage focused on LOCKON’s marketing analytics and product teams in Japan, where governance centered on data pipeline orchestration, analytical model lifecycle management and reporting workflows for the Audience EBiS service. The implementation enabled real time analysis of up to 10 billion pieces of data a year to support measurement and evaluation of exposure to marketing contents.
|
 |
Riot Games | Media | 4200 | $1.5B | United States | Vertica | Vertica Analytics Platform | ML and Data Science Platforms | 2012 | n/a |
In 2012, Riot Games implemented Vertica Analytics Platform to centralize analytics workloads for its data science and analytics teams, aligning with its ML and Data Science Platforms needs. The Vertica Analytics Platform was deployed to support high-volume game telemetry and player behavior analysis, providing a SQL-first environment for exploratory analytics and feature engineering.
The implementation leveraged a distributed, shared-nothing analytics cluster architecture, using columnar storage and a massively parallel processing query engine to optimize large-scale ad hoc queries and model training extracts. Functional capabilities emphasized in-database analytics and machine learning primitives, scalable query concurrency, and high-throughput ingestion to sustain continuous event and session data flows.
Operational coverage included data science, analytics, live game operations, and product analytics workflows, with the Vertica Analytics Platform used as the central analytical store for feature pipelines and model scoring feeds. Deployment and configuration focused on cluster sizing, storage tiers, and query resource governance to balance exploratory and production inference workloads.
Governance and workflow changes centered on centralized data catalogs, role-based access controls, and standardized SQL-based feature definitions to improve reproducibility of experiments and production model handoffs. The implementation placed emphasis on instrumentation of query patterns and schema design to support iterative feature development and operational analytics across Riot Games.
|
 |
Rockstar Games | Professional Services | 900 | $323M | United States | Vertica | Vertica Analytics Platform | ML and Data Science Platforms | 2002 | n/a |
In 2002, Rockstar Games implemented the Vertica Analytics Platform to centralize analytics and support advanced data science work across the studio. The Vertica Analytics Platform was adopted to address the companys ML and Data Science Platforms needs, leveraging high-performance columnar analytics, SQL-based feature engineering, and in-database machine learning capabilities that are typical for the category. Deployment targeted a mid-enterprise footprint appropriate for a 900-employee, 1.4 billion revenue developer, with infrastructure designed to ingest high-volume telemetry and batch data for iterative model development.
Implementation emphasis was on enabling data engineering and analytics teams to operationalize player behavior analysis, monetization analytics, and production reporting workflows on the Vertica Analytics Platform. Configuration aligned with category best practices, including centralized data ingestion, SQL analytics for feature creation, model training orchestration, and model scoring workflows to support continuous experimentation. Governance and operational controls focused on schema management, role based access controls for analytics users, and pipeline orchestration to align data science delivery with game development and live operations cycles.
|
 |
SiriusXM | Media | 5680 | $9.0B | United States | Vertica | Vertica Analytics Platform | ML and Data Science Platforms | 2013 | n/a |
In 2013, SiriusXM implemented the Vertica Analytics Platform. SiriusXM used the Vertica Analytics Platform within its ML and Data Science Platforms stack to centralize high performance SQL analytics and in database model development for data science and analytics teams.
The implementation leveraged core Vertica capabilities, including the columnar MPP analytic engine, in database analytics and machine learning functions, and optimized SQL query processing. Vertica Analytics Platform was configured to support batch ingestion, persistent analytic storage, and iterative model training workflows, enabling data scientists to run exploratory analysis and production queries without extracting full datasets.
Operational integration emphasized standard analytics interfaces and ingestion patterns, supporting ETL pipelines, SQL clients, and BI consumption layers to feed downstream analytics workflows. Governance was applied through role based access controls and centralized analytics workflows to coordinate data engineering, product analytics, marketing analytics, and monetization analytics functions, aligning the deployment to enterprise ML and Data Science Platforms requirements.
|
 |
Square | Professional Services | 12428 | $7.7B | United States | Vertica | Vertica Analytics Platform | ML and Data Science Platforms | 2014 | n/a |
In 2014, Square implemented Vertica Analytics Platform to support large scale analytics and data science workloads. The deployment positioned Vertica Analytics Platform as part of Square's ML and Data Science Platforms footprint, providing a central analytics engine for analytics and data science teams across the company.
The implementation focused on high performance, columnar, massively parallel processing capabilities and in-database analytics to accelerate SQL based exploration, feature engineering, and model scoring workflows. Configuration work emphasized performance tuning, columnar compression and query optimization, along with provisioning for concurrent interactive and batch queries typical of ML and Data Science Platforms.
Operationally the Vertica Analytics Platform was provisioned as a centralized analytics cluster accessible to analytics, data science, product analytics, and operations functions, supporting both exploratory analysis and productionized scoring workloads. Architecture choices prioritized scalable storage and compute separation to maintain throughput for complex analytical queries and to support rapid iteration on analytical models.
Governance covered access controls and role based data access, established data ingestion and schema management practices, and embedded SQL driven analytics workflows into existing analytics processes. Square Vertica Analytics Platform ML and Data Science Platforms supported standardized analytics pipelines and governed model artifacts to align data science practices with enterprise data access and compliance controls.
|
 |
|
Media | 2500 | $620M | United States | Vertica | Vertica Analytics Platform | ML and Data Science Platforms | 2011 | n/a |
|
|
|
|
Banking and Financial Services | 106789 | $57.1B | Switzerland | Vertica | Vertica Analytics Platform | ML and Data Science Platforms | 2011 | n/a |
|
Showing 1 to 7 of 7 entries
Buyer Intent: Companies Evaluating Vertica Analytics Platform
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Vertica Analytics Platform. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Vertica Analytics Platform for ML and Data Science Platforms include:
- Assurances du Credit Mutuel, a France based Insurance organization with 3424 Employees
- Acquis Compliance, a India based Professional Services company with 50 Employees
- Luftansa Company, a United States based Banking and Financial Services organization with 20 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
|---|---|---|---|---|---|---|
|
Assurances du Credit Mutuel | Insurance | 3424 | $14.7B | France | 2025-11-24 |
|
Acquis Compliance | Professional Services | 50 | $5M | India | 2025-11-13 |
|
Luftansa Company | Banking and Financial Services | 20 | $2M | United States | 2025-10-22 |
|
|
Banking and Financial Services | 213000 | $101.9B | United States | 2025-10-06 |
|
|
Professional Services | 100 | $10M | South Africa | 2025-01-27 |
|
|
Leisure and Hospitality | 20 | $2M | United States | 2025-01-26 |
|
|
Utilities | 5000 | $2.0B | United Kingdom | 2025-01-12 |
|
|
Banking and Financial Services | 100 | $10M | United States | 2025-01-03 |
|
|
Manufacturing | 88400 | $53.1B | United States | 2024-12-09 |
|
|
Education | 200 | $30M | Germany | 2024-10-14 |
FAQ - APPS RUN THE WORLD Vertica Analytics Platform Coverage
Vertica Analytics Platform is a ML and Data Science Platforms solution from Vertica.
Companies worldwide use Vertica Analytics Platform, from small firms to large enterprises across 21+ industries.
Organizations such as UBS, SiriusXM, Square, Riot Games and The Washington Post are recorded users of
Vertica Analytics Platform for ML and Data Science Platforms.
Companies using Vertica Analytics Platform are most concentrated in Banking and Financial Services, Media and Professional Services, with adoption spanning over 21 industries.
Companies using Vertica Analytics Platform are most concentrated in Switzerland and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Vertica Analytics Platform across Americas, EMEA, and APAC.
Companies using Vertica Analytics Platform range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 28.57%, large organizations with 1,001-10,000 employees - 42.86%, and global enterprises with 10,000+ employees - 28.57%.
Customers of Vertica 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 Vertica 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.