List of Google Cloud Composer Customers
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Since 2010, our global team of researchers has been studying Google Cloud Composer 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 Composer for Extract, Transform, and Load (ETL) 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 Composer for Extract, Transform, and Load (ETL) include: Deutsche Bank Germany, a Germany based Banking and Financial Services organisation with 40308 employees and revenues of $34.02 billion, ANZ Bank, a Australia based Banking and Financial Services organisation with 43094 employees and revenues of $13.40 billion, Consumidor Positivo Brazil, a Brazil based Banking and Financial Services organisation with 120 employees and revenues of $25.0 million, Huq Industries, a United Kingdom based Professional Services organisation with 3 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Google Cloud Composer, 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 Composer 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 Composer | Extract, Transform, and Load (ETL) | 2019 | n/a |
In 2019 ANZ Bank implemented Google Cloud Composer to orchestrate Extract, Transform, and Load (ETL) workflows supporting analytics for its Institutional Banking division. The implementation focused on delivering aggregated, de-identified customer insights to Institutional Banking business functions operating across 34 markets, using orchestration to accelerate analytic delivery and operationalize data products for customer-facing use cases.
Google Cloud Composer was configured to manage multi-layer data pipelines, schedule complex dependencies, and automate end-to-end ETL sequencing, leveraging managed Apache Airflow concepts such as DAG-based orchestration and retry logic. Functional capabilities implemented included orchestration of extraction jobs, coordination of transformation steps, automated scheduling, pipeline monitoring, and logging to enforce reliability and repeatability in ETL processing.
Integrations were explicit and central to the architecture, Composer coordinating data movement into BigQuery for analytics storage and query execution and invoking workloads on Google Kubernetes Engine to provide customized data services and visualization experiences. The implementation processed aggregated, de-identified transaction and credit card datasets, supporting heavy computational queries and downstream visualization and reporting for bankers and institutional customers.
Governance and operational controls emphasized data security and regulatory compliance, applying de-identification and cloud platform controls to manage risk while enabling faster insight delivery. Reported outcomes included reducing time to analyze a single table from five days to 20 seconds and enabling bankers to obtain business insights up to 250 times faster, illustrating Google Cloud Composer’s role in accelerating ETL orchestration and analytic throughput at ANZ Bank.
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Consumidor Positivo Brazil | Banking and Financial Services | 120 | $25M | Brazil | Google Cloud Composer | Extract, Transform, and Load (ETL) | 2019 | n/a |
In 2019, Consumidor Positivo Brazil implemented Google Cloud Composer as its Extract, Transform, and Load (ETL) orchestration layer to support debt negotiation workflow automation. The deployment positioned Google Cloud Composer as the central scheduler and workflow engine for data movement and transformation across the organization's analytics and collections stack.
Google Cloud Composer orchestrates over 200 daily ETL jobs that update the company debt negotiation platform and feed downstream BigQuery and Dataflow pipelines in Brazil. Implementation emphasized DAG based workflow orchestration, task scheduling and dependency management to coordinate batch and streaming handoffs between ingestion, transformation, and analytics stages.
Operational coverage centered on finance and collections functions, where Composer pipelines are used to prepare training data and execute model scoring for collection strategies. The environment integrates directly with Google BigQuery and Dataflow for downstream analytics and model training, enabling repeated large scale data processing runs and more frequent model refresh cycles.
The migration to Google Cloud enabled sub 10 second responses for complex queries, faster feature go lives, and large scale model training and scoring improvements for the finance and collections process. Governance practices standardized pipeline ownership and cadence for releases, consolidating orchestration efforts and accelerating delivery of data driven features across the debt negotiation platform.
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Deutsche Bank Germany | Banking and Financial Services | 40308 | $34.0B | Germany | Google Cloud Composer | Extract, Transform, and Load (ETL) | 2022 | n/a |
In 2022, Deutsche Bank adopted Google Cloud Composer as its strategic workload automation tool for Extract, Transform, and Load (ETL). Google Cloud Composer orchestrates event driven ingestion and ETL that load and transform data feeding BigQuery across on premises and cloud systems in Germany, and it supports finance domain workflows such as swap reporting.
The implementation leverages Google Cloud Composer's managed Apache Airflow runtime to define directed acyclic graph orchestration for ingestion and transformation pipelines. Workflows are configured as reusable DAGs with parameterized tasks, event sensors, and retry and backfill controls to manage scheduling windows and data quality. Developers and data engineers use Google Cloud Composer to centralize task dependencies, logging, and operational alerts for ETL processes that feed the bank's cloud data platform.
Google Cloud Composer orchestrates ETL flows into BigQuery and coordinates data movement across on premises systems and cloud services within the bank's cloud data platform in Germany. The operational scope centers on finance function workloads, notably swap reporting, while also covering other ETL ingestion streams that populate centralized analytical datasets. Data engineering teams and finance operations consume the transformed datasets for reporting and compliance.
Deployment introduced a single orchestration layer to centralize workflow governance, improving visibility into job lineage, scheduling governance, and operational handoffs. Process changes included standardized DAG templates, environment separation, and centralized monitoring to reduce manual runbook steps and ad hoc scripting. The bank reported improved governance and reduced operational overhead following the Cloud Composer adoption.
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Professional Services | 3 | $1M | United Kingdom | Google Cloud Composer | Extract, Transform, and Load (ETL) | 2020 | DoiT International |
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Buyer Intent: Companies Evaluating Google Cloud Composer
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Google Cloud Composer. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Google Cloud Composer for Extract, Transform, and Load (ETL) include:
- The Johns Hopkins Hospital, a United States based Healthcare organization with 40000 Employees
- Horizon Forest Products, a United States based Distribution company with 200 Employees
- Tory Burch, a United States based Retail organization with 4800 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Google Cloud Composer Coverage
Google Cloud Composer is a Extract, Transform, and Load (ETL) solution from Google.
Companies worldwide use Google Cloud Composer, from small firms to large enterprises across 21+ industries.
Organizations such as Deutsche Bank Germany, ANZ Bank, Consumidor Positivo Brazil and Huq Industries are recorded users of
Google Cloud Composer for Extract, Transform, and Load (ETL).
Companies using Google Cloud Composer are most concentrated in Banking and Financial Services and Professional Services, with adoption spanning over 21 industries.
Companies using Google Cloud Composer are most concentrated in Germany, Australia and Brazil, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Google Cloud Composer across Americas, EMEA, and APAC.
Companies using Google Cloud Composer range from small businesses with 0-100 employees - 25%, to mid-sized firms with 101-1,000 employees - 25%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 50%.
Customers of Google Cloud Composer 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 Google Cloud Composer customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Extract, Transform, and Load (ETL).