List of Talend Stitch ETL Customers
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Since 2010, our global team of researchers has been studying Talend Stitch ETL 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 Talend Stitch ETL 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 Talend Stitch ETL for Extract, Transform, and Load (ETL) include: McDonald's (UK), a United Kingdom based Leisure and Hospitality organisation with 120000 employees and revenues of $5.00 billion, Azul Airlines, a Brazil based Transportation organisation with 13543 employees and revenues of $3.25 billion, RBC Global Asset Management, a Canada based Banking and Financial Services organisation with 1500 employees and revenues of $2.67 billion, Anycommerce, a France based Professional Services organisation with 300 employees and revenues of $60.0 million and many others.
Contact us if you need a completed and verified list of companies using Talend Stitch ETL, 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 Talend Stitch ETL 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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Anycommerce | Professional Services | 300 | $60M | France | Talend | Talend Stitch ETL | Extract, Transform, and Load (ETL) | 2022 | n/a |
In 2022, Anycommerce implemented Talend Stitch ETL as its Extract, Transform, and Load (ETL) application to centralize data ingestion and transformation capabilities for the company’s analytics and integration needs. The Anycommerce Talend Stitch ETL deployment was scoped to support data engineering and analytics functions within the France-based professional services organization of roughly 300 employees, providing a single platform for standardized ETL workflows.
Configuration work emphasized reusable extraction and transformation pipelines, schema mapping, incremental load patterns, pipeline scheduling, and runtime monitoring, leveraging Talend Stitch ETL connector and orchestration capabilities. Functional modules implemented included source connectors, transformation jobs, job orchestration and alerts, and destination connectors to relational stores, enabling consistent data preparation for reporting and downstream systems.
Integrations included connections to relational databases such as MySQL and to business intelligence tooling including PowerBI for reporting and exploration, reflecting the data engineering and BI skill set referenced in the source notes. Operational coverage targeted data engineering and analytics teams, centralizing customer and partner data feeds and standardizing transformation workflows to support reporting, analytics, and third party data interconnections.
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Azul Airlines | Transportation | 13543 | $3.3B | Brazil | Talend | Talend Stitch ETL | Extract, Transform, and Load (ETL) | 2019 | n/a |
In 2019, Azul Airlines implemented Talend Stitch ETL to establish enterprise Extract, Transform, and Load (ETL) workflows supporting its Business Intelligence and data engineering functions. The deployment was positioned to centralize data ingestion and transformation for analytics, reporting, and regulatory submissions across the airline.
The Talend Stitch ETL implementation focused on standard ETL functional modules, including source ingestion, transformation mapping, data cleansing to sanitize information cubes, and orchestration for scheduled loads. Talend Stitch ETL was used alongside PySpark and Python scripts to implement complex transformations, and operational tooling such as Sqoop, Shell scripts, and Rundeck supported batch movement and job scheduling.
Integrations were explicitly built to feed a Snowflake data warehouse architecture and to downstream reporting via Power BI, enabling consolidated reporting and regulatory submissions for Brazil, the United States, and European authorities. The operational scope centered on the Business Intelligence team and a dedicated data engineering group of roughly 15 specialists who translated stakeholder requirements into pipeline specifications and report models.
Governance and workflow changes emphasized data integrity and scalable architecture, with the BI lead collaborating with business stakeholders to define technical requirements, pipeline quality checks, and monitoring practices. Talend Stitch ETL served as the enterprise ETL layer within Azul Airlines, connecting source systems to Snowflake and Power BI and supporting standardized data pipelines and report generation processes.
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McDonald's (UK) | Leisure and Hospitality | 120000 | $5.0B | United Kingdom | Talend | Talend Stitch ETL | Extract, Transform, and Load (ETL) | 2018 | n/a |
In 2018 McDonald's (UK) implemented Talend Stitch ETL for Extract, Transform, and Load (ETL) to augment its cloud platform and address one of the company’s largest data integration workloads. The selection of Talend Stitch ETL reflected a requirement to run mixed workloads across cloud and on premise infrastructure and to execute ETL jobs on multiple clouds, enabling a single ETL solution to span hybrid execution environments.
Talend Stitch ETL was configured to provide core Extract, Transform, and Load (ETL) capabilities including data ingestion, transformation pipelines, orchestration, and scheduled job execution. Configuration work emphasized pipeline templating and reusable transformation logic to support recurring enterprise data integration patterns while preserving the ability to run ad hoc data movement tasks.
Deployment architecture used a hybrid operational model, with Talend jobs able to execute on on premise systems and across multiple cloud environments, and with central orchestration integrated into the customer cloud platform layer. Operational coverage focused on enterprise data integration teams and platform owners, with governance centered on centralized scheduling, monitoring, observable job execution, and data lineage controls to standardize ETL workflow management.
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Banking and Financial Services | 1500 | $2.7B | Canada | Talend | Talend Stitch ETL | Extract, Transform, and Load (ETL) | 2018 | n/a |
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