AI Buyer Insights:

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

List of Oracle Data Integrator Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
AXA MPS Financial Banking and Financial Services 64 $148M Ireland Oracle Oracle Data Integrator Extract, Transform, and Load (ETL) 2016 Hewlett Packard Enterprise
In 2016 AXA MPS Financial implemented Oracle Data Integrator to establish an Extract, Transform, and Load (ETL) layer. Oracle Data Integrator 10 was provisioned as the primary data integration engine to centralize extract, transform, and load workflows supporting reporting, finance, and data warehousing functions. AXA MPS Financial implemented Oracle Data Integrator, an Extract, Transform, and Load (ETL) platform, to centralize data integration for reporting and finance. The deployment configured Oracle Data Integrator 10 artifacts including declarative data mappings, reusable knowledge modules, and transformation workflows to support set based and SQL driven transformations. SQL served as the transformation language for custom business rules, while Erwin Data Modeler was used to define logical and physical models that drove ETL design. Runtime orchestration leveraged ODI agents to schedule batch windows and manage job dependencies. Integrations explicitly included SAP Business Object XI R3 for downstream reporting and SQL databases as sources and targets, with Erwin maintained models aligning ETL outputs to reporting semantic layers. Hewlett Packard Enterprise acted as the system integrator, responsible for installation, environment provisioning, and operational handover. The implementation concentrated on feeding governed data into the SAP Business Object XI R3 reporting stack. Governance and operational controls established version control for mappings, ODI repository based metadata management, and change management processes coordinated between BI and finance stakeholders. Ongoing operational support and scheduled operations were handled jointly by Hewlett Packard Enterprise and internal BI teams.
Raymond James & Associates Banking and Financial Services 19000 $12.6B United States Oracle Oracle Data Integrator Extract, Transform, and Load (ETL) 2014 n/a
In 2014 Raymond James & Associates implemented Oracle Data Integrator to establish an enterprise information platform, consolidating transactional and operational data for reporting and operational use. The work falls under the Extract, Transform, and Load (ETL) category and was paired with Oracle GoldenGate to create an integrated ingestion and replication layer that feeds the centralized platform. The implementation concentrated on repeatable data migration and loading pipelines, centralizing transformation logic and batch load orchestration through Oracle Data Integrator. Oracle GoldenGate provided change data capture and near real time replication from heterogeneous sources such as HP NonStop and Microsoft SQL Server, enabling the platform to maintain a consolidated company view. Operational scope explicitly targeted support for the firm network of 6,000 financial advisers, improving access to timely, actionable data to drive operational efficiency. Governance emphasized enterprise information platform practices, standardizing ETL processes and operationalizing repeatable data migration and loading workflows to sustain consistent data delivery across business functions.
The A2 Milk Company Consumer Packaged Goods 511 $1.1B New Zealand Oracle Oracle Data Integrator Extract, Transform, and Load (ETL) 2020 n/a
In 2020, The A2 Milk Company implemented Oracle Data Integrator as its core data movement platform. Oracle Data Integrator serves as the Extract, Transform, and Load (ETL) backbone for the company, provisioning scheduled data pipelines into an Autonomous Data Warehouse on Oracle Cloud Services. The implementation centers on ETL development and orchestration, with data engineers and a data-centric SME building mappings, interfaces, and batch workflows in Oracle Data Integrator. Master Data Management governance for the Oracle ERP SCM Product Master is embedded into those ETL processes, and data capture has been instrumented using Oracle Visual Builder VBCS forms as an alternative to spreadsheet entry. Integrations explicitly include the Autonomous Data Warehouse and Autonomous Transaction Processing ATP environments on Oracle Cloud Services, Oracle Visual Builder for front end data entry, and on-premise Oracle E Business Suite ERP SCM product master data sources. Deployment is operated on Linux infrastructure where Oracle Data Integrator runtime agents execute extract and load tasks, and ETL workloads feed analytics and transactional stores. Governance activity is focused on MDM workflows, data quality checks within ETL pipelines, and operational ownership by the data analyst and governance team who manage product master rules and capture processes. The configuration emphasizes centralized ETL orchestration, controlled data capture via VBCS forms, and managed handoffs between ERP SCM product master feeds and the Autonomous Data Warehouse.
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Buyer Intent: Companies Evaluating Oracle Data Integrator

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Oracle Data Integrator. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Oracle Data Integrator for Extract, Transform, and Load (ETL) include:

  1. Hyundai Motor Company, a South Korea based Automotive organization with 120000 Employees
  2. Hamburg University of Technology (TUHH), a Germany based Education company with 1500 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

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FAQ - APPS RUN THE WORLD Oracle Data Integrator Coverage

Oracle Data Integrator is a Extract, Transform, and Load (ETL) solution from Oracle.

Companies worldwide use Oracle Data Integrator, from small firms to large enterprises across 21+ industries.

Organizations such as Raymond James & Associates, The A2 Milk Company and AXA MPS Financial are recorded users of Oracle Data Integrator for Extract, Transform, and Load (ETL).

Companies using Oracle Data Integrator are most concentrated in Banking and Financial Services and Consumer Packaged Goods, with adoption spanning over 21 industries.

Companies using Oracle Data Integrator are most concentrated in United States, New Zealand and Ireland, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Oracle Data Integrator across Americas, EMEA, and APAC.

Companies using Oracle Data Integrator range from small businesses with 0-100 employees - 33.33%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 33.33%.

Customers of Oracle Data Integrator 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 Oracle Data Integrator 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).