List of Google Cloud Dataplex Customers
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Since 2010, our global team of researchers has been studying Google Cloud Dataplex 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 Google Cloud Dataplex for Generative AI 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 Google Cloud Dataplex for Generative AI Platforms include: ANZ Bank, a Australia based Banking and Financial Services organisation with 43094 employees and revenues of $13.40 billion, Natwest Markets United Kingdom, a United Kingdom based Banking and Financial Services organisation with 1700 employees and revenues of $1.55 billion, Box, a United States based Professional Services organisation with 2810 employees and revenues of $1.09 billion and many others.
Contact us if you need a completed and verified list of companies using Google Cloud Dataplex, 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 Google Cloud Dataplex 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 |
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ANZ Bank | Banking and Financial Services | 43094 | $13.4B | Australia | Google Cloud Dataplex | Generative AI Platforms | 2023 | n/a |
In 2023, ANZ Bank began using Google Cloud Dataplex as a core component of a Generative AI Platforms initiative to build a one stop shop data platform for its Risk function in Australia. Google Cloud Dataplex is being positioned to provide centralized data governance and metadata management to support credit decisioning, improve risk comprehension, and reduce time spent on data wrangling.
The implementation centers on Google Cloud Dataplex capabilities for data quality, monitoring and lineage, with configuration focused on centralized metadata catalogs and automated discovery to standardize dataset definitions across risk models. Functional modules implemented include dataset profiling, lineage tracing and monitoring pipelines to surface data issues and trace inputs into credit scoring workflows.
Architecturally Google Cloud Dataplex is used as the governance and orchestration layer within ANZ Bank's risk data platform, serving as the landing point for curated and operational data assets consumed by credit teams. Operational scope is explicitly the Risk function in Australia, with use cases spanning credit decisioning, risk modeling and analyst data exploration.
Governance changes emphasize catalog centric workflows and lineage driven validation to reduce manual data wrangling and accelerate delivery of model ready datasets, with rollout activity reported from 2023 focused on embedding data quality controls into risk pipelines. Public reporting from Google Cloud events and news coverage indicates the deployment is intended to standardize risk data operations within the Risk function rather than to expand bank wide at this stage.
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Box | Professional Services | 2810 | $1.1B | United States | Google Cloud Dataplex | Generative AI Platforms | 2024 | n/a |
In 2024, Box, Inc. implemented Google Cloud Dataplex as its central data catalog across its global data platform. This deployment is in the Generative AI Platforms category and targets improved data discovery, lineage, observability and governance to accelerate product analytics and developer efficiency.
Box adopted Google Cloud Dataplex catalog, lineage and observability capabilities to centralize metadata management and automate discovery workflows. The implementation leveraged the Google Cloud Dataplex catalog to provide a unified metadata store and lineage capture, alongside observability features for data quality and access patterns. Configuration efforts emphasized metadata taxonomy, automated cataloging jobs and lineage instrumentation to support analytics and developer use cases.
The rollout covered multiple regions as reported in August 2024 and was positioned to operate across Box's global data platform and analytics pipelines. Governance was centralized through the Dataplex catalog to enforce metadata policies and observability controls across teams responsible for product analytics and developer platforms. Reported outcomes include improved data discovery, clearer lineage and enhanced observability and governance, enabling faster analytics and developer workflows.
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Natwest Markets United Kingdom | Banking and Financial Services | 1700 | $1.6B | United Kingdom | Google Cloud Dataplex | Generative AI Platforms | 2023 | n/a |
In 2023, NatWest Markets implemented Google Cloud Dataplex to automate data quality, governance, and discovery for markets and risk data. The initiative began with a proof of concept in late 2023 and moved into production soon after, with the deployment executed within the Google Cloud environment to support UK regulatory reporting needs.
NatWest Markets used Google Cloud Dataplex as part of its Generative AI Platforms tooling to establish a governed data layer for markets and risk datasets. Implementation focused on Dataplex data-quality and catalog capabilities, configured to perform scheduled profiling and rule-based quality checks, maintain a unified metadata catalog, and surface searchable dataset discovery for analysts and data engineers.
Operational scope covered markets and risk data domains and involved data governance, risk, compliance, analytics, and data engineering teams. Governance workflows were adjusted to consume daily data-quality insights and to generate stronger evidence for regulatory compliance in the United Kingdom, with automated scans and cataloging driving routine operational monitoring and analyst discovery.
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