List of BryteFlow Customers
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United States
Since 2010, our global team of researchers has been studying BryteFlow 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 BryteFlow 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 BryteFlow for Extract, Transform, and Load (ETL) include: ANZ Bank, a Australia based Banking and Financial Services organisation with 43094 employees and revenues of $13.40 billion, Horizon Power, a Australia based Utilities organisation with 611 employees and revenues of $438.0 million, Brightly, a United States based Professional Services organisation with 800 employees and revenues of $195.0 million, Mondou, a Canada based Retail organisation with 750 employees and revenues of $175.0 million and many others.
Contact us if you need a completed and verified list of companies using BryteFlow, 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 BryteFlow 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 | BryteFlow | BryteFlow | Extract, Transform, and Load (ETL) | 2016 | Capgemini |
In 2016, ANZ Bank implemented BryteFlow as its Extract, Transform, and Load (ETL) solution to support Institutional Banking analytics workloads. The engagement targeted terabyte scale market and trading data used to generate recommended revenue opportunities for bankers, aligning the BryteFlow deployment with ANZ’s Market Analysis and Predictive Analytics use cases.
BryteFlow was configured to provide end to end ETL orchestration, continuous data ingestion, and transformation for high performance analytics. The initial scope began with Amazon S3 and Redshift integration and rapidly expanded so BryteFlow configured the entire pipeline and operational setup that powers ANZ’s Market Analysis and Predictive Analytics engine.
The implementation integrated Amazon Web Services infrastructure, specifically Amazon S3 for data landing and Amazon Redshift for analytics, leveraging AWS performance and scale. BryteFlow partnered with AWS Professional Services during the project, and Capgemini served as the system integrator, focusing execution on the Institutional Banking analytics function.
Governance and rollout proceeded as a quick and cost effective program, delivered within agreed timeframes with consistent communication throughout the project. The deployment delivered up to 10x faster time to insight across the same datasets and business logic, and ANZ stakeholders noted BryteFlow provided advisory value beyond straightforward cloud integration.
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Brightly | Professional Services | 800 | $195M | United States | BryteFlow | BryteFlow | Extract, Transform, and Load (ETL) | 2021 | n/a |
In 2021, Brightly deployed BryteFlow to perform low-latency replication using change data capture from more than 3,000 multi-tenant SQL Server databases into a Snowflake data cloud to enable real-time analytics and operational reporting for its SaaS platform. The project sits squarely in the Extract, Transform, and Load (ETL) category and was scoped to support multi-tenant scaling with rapid deployment across US and global regions.
BryteFlow was configured to provide continuous CDC replication and data consolidation capabilities, ingesting transactional changes from thousands of tenant databases and preparing them for analytics and BI consumption. Functional capabilities emphasized low-latency replication, multi-tenant routing and consolidation, and orchestration of data flow into a centralized analytics layer.
The technical architecture integrated SQL Server as the source tier, BryteFlow as the CDC and ETL layer, and Snowflake as the data cloud target, establishing a continuous replication pipeline for downstream reporting and analytics. Integrations were explicit to SQL Server sources and the Snowflake data cloud, with BryteFlow operating as the intermediary that normalized multi-database feeds into a unified analytics repository.
Operational scope covered Brightlys SaaS platform data across US and global regions, simplifying a complex multi-database consolidation for analytics and BI. The rollout emphasized rapid deployment and multi-tenant scaling, and the implementation explicitly enabled real-time analytics and operational reporting without referencing specific implementation partners.
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Horizon Power | Utilities | 611 | $438M | Australia | BryteFlow | BryteFlow | Extract, Transform, and Load (ETL) | 2019 | n/a |
In 2019, Horizon Power implemented BryteFlow as its Extract, Transform, and Load (ETL) platform to establish a continually refreshed AWS data lake. The deployment used BryteFlow products to operationalize ingestion and blending of enterprise and sensor data for analytics and maintenance use cases.
The implementation leveraged BryteFlow Ingest to capture high volumes of data from Oracle and SQL Server sources and BryteFlow Blend to consolidate and transform IoT telemetry alongside relational data. BryteFlow delivered near-real-time ETL processing and created a single source of truth through continuous ingestion and dataset harmonization for downstream reporting and analytics.
Data was landed into an AWS data lake architecture, ingesting large volumes of Oracle, SQL Server, and IoT data streams to support operations and predictive maintenance across regional Western Australia. The operational scope emphasized regional sites and field operations where timely sensor and transactional data feeds feed analytics workflows.
Governance centered on a centralized data repository and harmonized datasets to support analytics consumption and maintenance planning, with a rapid rollout noted in the case study. BryteFlow was positioned as the ETL engine powering ongoing data refreshes and blended datasets for Horizon Power operational analytics.
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Retail | 750 | $175M | Canada | BryteFlow | BryteFlow | Extract, Transform, and Load (ETL) | 2020 | n/a |
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