List of AWS Glue Customers
Amazon Web Services (AWS)
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Professional Services
135000
$128.7B
Since 2010, our global team of researchers has been studying AWS Glue 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 AWS Glue 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 AWS Glue for Extract, Transform, and Load (ETL) include: Transport For Nsw, a Australia based Government organisation with 25000 employees and revenues of $20.20 billion, BSH Hausgerate, a Germany based Manufacturing organisation with 60000 employees and revenues of $16.45 billion, Synchrony, a United States based Banking and Financial Services organisation with 20000 employees and revenues of $16.13 billion, Health First, a United States based Healthcare organisation with 6900 employees and revenues of $1.14 billion, CAPTRUST, a United States based Banking and Financial Services organisation with 1800 employees and revenues of $300.0 million and many others.
Contact us if you need a completed and verified list of companies using AWS Glue, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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BSH Hausgerate | Manufacturing | 60000 | $16.5B | Germany | Amazon Web Services (AWS) | AWS Glue | Extract, Transform, and Load (ETL) | 2022 | n/a |
In 2022, BSH Hausgerate implemented AWS Glue to support batch ingestion for its Home Connect IoT platform after migrating the platform to Amazon Web Services. AWS Glue is used as the Extract, Transform, and Load (ETL) engine to populate Amazon S3 and Amazon Redshift for product-usage and customer analytics, focused on product analytics and customer experience in Europe Germany.
BSH configured AWS Glue batch ETL jobs and cataloging to ingest IoT telemetry, standardize schemas, and stage transformed datasets for analytics and data science. The implementation emphasized automated schema discovery and scheduled batch ingestion to maintain up-to-date product usage datasets for downstream analytics workloads.
The deployment integrates the Home Connect IoT platform with Amazon S3 as the raw and staging data Lake and Amazon Redshift as the analytics warehouse, with AWS Glue orchestrating extract and transform pipelines. Operational coverage targets regional product analytics and customer experience teams across Europe Germany, enabling regional insights through centralized data pipelines.
Governance centered on Glue catalog metadata to improve data discovery and consistency for data science teams, and operational orchestration to accelerate predictive maintenance and product decision workflows. Using AWS Glue-supported ingestion helped BSH scale Home Connect, enable data science workloads for regional insights, and improve agility for predictive maintenance and product decisions.
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CAPTRUST | Banking and Financial Services | 1800 | $300M | United States | Amazon Web Services (AWS) | AWS Glue | Extract, Transform, and Load (ETL) | 2024 | n/a |
In 2024, CAPTRUST implemented AWS Glue as the central Extract, Transform, and Load (ETL) platform to build scalable data pipelines and automate fiduciary reporting for investment analysis and regulatory compliance. The project commenced in Akron, OH in May 2024 to present and focused on centralizing financial data from multiple systems and APIs into governed storage layers for portfolio analysis and fiduciary reporting.
The implementation deployed AWS Glue alongside Apache Spark, Talend, Python, and SQL to design automated ETL workflows that ingest, transform, and validate large banking and investment datasets. AWS Glue served as the orchestration and transformation engine with data landing zones on Amazon S3, compute over EMR and Spark where needed, and downstream data models staged in AWS Redshift and Snowflake to support analytics workloads.
Integrations included REST APIs and third party financial tool connectors to streamline data flow from transactional systems, investment platforms, and fiduciary sources into the centralized warehouse. The program delivered interactive dashboards built with Tableau and Power BI for investment management, portfolio analysis, and compliance monitoring, and supported operational coverage for fiduciary, investment, and compliance functions.
Governance was implemented through automated data validation and monitoring frameworks, source control with Git, and pipeline lifecycle tracking in Jira to enforce auditability and change control. Security and regulatory compliance controls were applied across AWS and Azure environments, with formalized processes for data lineage and reconciliation to support fiduciary standards.
The implementation of AWS Glue and associated ETL workflows reduced manual data handling by 35 percent as part of the stated project outcomes, and maintained secured data infrastructure for financial reporting and regulatory audits. AWS Glue is used as the ongoing ETL backbone to enable near real time ingestion, transformation, and reporting for CAPTRUSTs investment and fiduciary operations.
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Health First | Healthcare | 6900 | $1.1B | United States | Amazon Web Services (AWS) | AWS Glue | Extract, Transform, and Load (ETL) | 2020 | n/a |
In 2020, Health First implemented AWS Glue as part of a targeted Extract, Transform, and Load (ETL) initiative to support healthcare analytics and reporting. The deployment emphasized cloud native ETL processing with AWS Glue used to author and run scalable data transformation jobs for operational analytics workloads.
The implementation built scalable ETL and ELT pipelines using Python, PySpark, and SQL, with Snowflake serving as a primary analytical data store. AWS Glue jobs were combined with Airflow orchestration to schedule batch workloads and Kafka to support near real time ingestion patterns, while PySpark processing handled both structured and unstructured healthcare datasets for downstream reporting.
Integrations included AWS S3 for cloud based ingestion, AWS Lambda for event driven tasks, Snowflake for analytical storage, and the OpenAI APIs for intelligent document processing and AI enabled workflow automation. Operational reporting and visualization was provisioned through Power BI, and engineering reliability was supported by Python based monitoring and validation scripts alongside CI CD practices using Git, Jenkins, and Docker.
Governance and delivery followed Agile Scrum collaboration between business and technical teams, with data quality controls and pipeline validation embedded as part of operational workflows. AWS Glue served as the central transformation engine within an Extract, Transform, and Load (ETL) architecture that enabled Health First to standardize data processing, support BI and analytics use cases, and integrate AI and LLM capabilities into document processing pipelines.
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Oogst | Healthcare | 3 | $1M | Netherlands | Amazon Web Services (AWS) | AWS Glue | Extract, Transform, and Load (ETL) | 2020 | n/a |
In 2020, Oogst implemented AWS Glue for Extract, Transform, and Load (ETL) to transform and prepare raw customer and marketing data. The AWS Glue deployment was used to populate Amazon Redshift-backed customer 360s and data clean rooms that support privacy-safe, personalized marketing, with a stated process area of marketing/CRM and operational scope spanning global and US regions.
The implementation emphasized AWS-native architecture, using AWS Glue to orchestrate ETL workflows, perform schema normalization and identity resolution, and stage cleansed datasets for Redshift ingestion. Functional capabilities implemented included ETL job orchestration, identity resolution and data clean room preparation, and pipeline automation to enable customer 360 assembly. The design was intended to accelerate deployments and reduce infrastructure maintenance by leveraging AWS Glue as the central ETL layer feeding analytics and privacy workflows.
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Synchrony | Banking and Financial Services | 20000 | $16.1B | United States | Amazon Web Services (AWS) | AWS Glue | Extract, Transform, and Load (ETL) | 2018 | n/a |
In 2018, Synchrony implemented AWS Glue to establish core Extract, Transform, and Load (ETL) workflows for enterprise data ingestion and analytics. The AWS Glue deployment supported data engineering and analytics teams in Tampa, FL and was positioned as the primary ETL engine leveraging PySpark, Python, and SQL to standardize batch and micro-batch transformations.
The implementation focused on scalable ETL pipeline design and automation, with developers building PySpark-based jobs in AWS Glue and authoring Python pipelines that used AWS Lambda and Step Functions for orchestration. Functional capabilities implemented included JSON encoding and decoding to normalize semi structured sources, automated source file ingestion and cleanup workflows, data validation frameworks using PySpark and Pandas, and Redshift data modeling optimized with distribution keys, sort keys, and materialized views.
Integrations and processing topology centered on Amazon S3 as the central data lake, with explicit migrations of on premises DB2 data into S3 using AWS Glue, PySpark, and SQL. Downstream analytic and warehousing integration included Amazon Redshift for curated models and AWS EMR running Spark for high performance analytics, while monitoring and operations were instrumented via AWS CloudWatch for ETL job performance and failure tracking.
Operational governance covered IAM role management, S3 bucket policies, and KMS encryption to ensure secure data access and compliance, and cross functional teams collaborated to gather requirements and refine integration workflows. The implementation included ongoing performance tuning and remediation, identifying and resolving SQL and ETL bottlenecks, and automation that reduced manual intervention and minimized failures as part of steady state operations.
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Government | 25000 | $20.2B | Australia | Amazon Web Services (AWS) | AWS Glue | Extract, Transform, and Load (ETL) | 2024 | n/a |
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD AWS Glue Coverage
AWS Glue is a Extract, Transform, and Load (ETL) solution from Amazon Web Services (AWS).
Companies worldwide use AWS Glue, from small firms to large enterprises across 21+ industries.
Organizations such as Transport For Nsw, BSH Hausgerate, Synchrony, Health First and CAPTRUST are recorded users of
AWS Glue for Extract, Transform, and Load (ETL).
Companies using AWS Glue are most concentrated in Government, Manufacturing and Banking and Financial Services, with adoption spanning over 21 industries.
Companies using AWS Glue are most concentrated in Australia, Germany and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of AWS Glue across Americas, EMEA, and APAC.
Companies using AWS Glue range from small businesses with 0-100 employees - 16.67%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 50%.
Customers of AWS Glue 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 AWS Glue 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).