List of AWS Glue Customers
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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: 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, Transport for NSW, a Australia based Transportation organisation with 650 employees and revenues of $12.0 million, Oogst, a Netherlands based Healthcare 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 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.
The AWS Glue 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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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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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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Transportation | 650 | $12M | Australia | Amazon Web Services (AWS) | AWS Glue | Extract, Transform, and Load (ETL) | 2024 | n/a |
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