List of Google Cloud Data Fusion Customers
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Since 2010, our global team of researchers has been studying Google Cloud Data Fusion 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 Data Fusion for iPaaS (Integration Platform as a Service) 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 Data Fusion for iPaaS (Integration Platform as a Service) include: LiveRamp, a United States based Professional Services organisation with 1400 employees and revenues of $660.0 million, Star Media Group, a Malaysia based Media organisation with 933 employees and revenues of $105.0 million, Abastece Ai Brazil, a Brazil based Banking and Financial Services organisation with 220 employees and revenues of $20.0 million and many others.
Contact us if you need a completed and verified list of companies using Google Cloud Data Fusion, 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 | Insight Source |
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Abastece Ai Brazil | Banking and Financial Services | 220 | $20M | Brazil | Google Cloud Data Fusion | iPaaS (Integration Platform as a Service) | 2021 | n/a | In 2021 Abastece Ai Brazil implemented Google Cloud Data Fusion as its iPaaS (Integration Platform as a Service) to centralize ingestion flows for its consumer app and the Km de Vantagens loyalty program. The implementation began in January 2021 and completed in May 2021, delivering pipelines that ingest multiple source systems into a BigQuery data lake located in Brazil. The deployment architecture is built around two Cloud Data Fusion instances, production and development, with Google Cloud Data Fusion used to design, orchestrate and transform ingestion pipelines. Functional capabilities implemented include visual pipeline design, scheduled orchestration, and data transformation and staging into BigQuery, enabling high volume batch and streaming ingest patterns consistent with iPaaS platforms. Integrations explicitly include multiple upstream data sources consolidated into a BigQuery data lake, with processing executed within the Brazil region to meet operational locality requirements. Operational scope covers marketing automation and analytics use cases, supporting both the app and the Km de Vantagens loyalty program, and the environment separation into prod and dev was used as a governance control during the January to May 2021 rollout. The environment now runs two Cloud Data Fusion instances processing in excess of 250 TB per month to feed marketing automation and analytics pipelines into BigQuery. This implementation positions Google Cloud Data Fusion as the central integration layer for Abastece Ai Brazil, an iPaaS (Integration Platform as a Service) deployment supporting cross functional data consumption. | ||
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LiveRamp | Professional Services | 1400 | $660M | United States | Google Cloud Data Fusion | iPaaS (Integration Platform as a Service) | 2020 | n/a | In 2020, LiveRamp implemented Google Cloud Data Fusion as part of a data-operations initiative to scale identity data management. The deployment used Google Cloud Data Fusion in an iPaaS (Integration Platform as a Service) role to provide centralized ETL-as-a-service and pipeline orchestration for identity datasets. The implementation combined CDAP with Cloud Data Fusion to provision reusable pipeline templates and a plugin registry, enabling standardized ETL patterns and metadata-driven pipelines. Functionally the platform delivered data ingestion, transformation, orchestration, and plugin-based extensibility so teams could construct and run pipelines without bespoke engineering for each use case. Operational scope covered teams across the United States, enabling dozens of teams to run hundreds of daily workloads and consolidating data-operations responsibilities under a common platform. The rollout emphasized self-service provisioning for analytics and data engineering teams, standardization of reusable pipeline plugins, and centralization of pipeline templates to reduce duplication. LiveRamp's Google Cloud Data Fusion implementation directly supported scaling identity data management and reduced time-to-value for data engineering by delivering ETL-as-a-service across teams, while formalizing governance through standardized plugins and operational controls. The case represents a practical iPaaS (Integration Platform as a Service) deployment focused on pipeline reuse, operational scale, and data-operations orchestration. | ||
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Star Media Group | Media | 933 | $105M | Malaysia | Google Cloud Data Fusion | iPaaS (Integration Platform as a Service) | 2019 | n/a | In 2019, Star Media Group implemented Google Cloud Data Fusion, an iPaaS (Integration Platform as a Service), to build ETL pipelines feeding a Google BigQuery analytics platform. The deployment started in January 2019 and was built in a six to eight month program that moved development pipelines into production for analytics and advertising workflows. Work centered on designing and orchestrating ETL pipelines, standardizing ingestion and transformation logic, and operationalizing audience segmentation workflows to support personalized content and digital advertising. The implementation leveraged Google Cloud Data Fusion pipeline authoring and transformation capabilities to normalize disparate feeds and populate BigQuery for analytics, enabling marketing and editorial teams to run audience analysis and content personalization. Integrations focused on Google BigQuery as the analytics layer and on delivering unified data to advertising and newsroom use cases across Malaysia. Governance and rollout followed a staged build and production cutover over the six to eight month period, with operational ownership established for marketing and editorial functions. The project improved data ingestion, enabled more effective audience analysis, and provided cost effective scalability for digital marketing and editorial operations. |
Buyer Intent: Companies Evaluating Google Cloud Data Fusion
- Mutual of Omaha, a United States based Insurance organization with 8300 Employees
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