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Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

List of IBM StreamSets Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Humana Insurance 65680 $117.8B United States IBM IBM StreamSets Extract, Transform, and Load (ETL),iPaaS (Integration Platform as a Service) 2020 n/a In 2020, Humana implemented IBM StreamSets as a central component of its Extract, Transform, and Load (ETL),iPaaS (Integration Platform as a Service) strategy to support an integrated care model and a hyper connected enterprise data environment. IBM StreamSets was positioned to automate ingestion and delivery of diverse data feeds into a hybrid cloud environment to enable faster operational access to clinical and member data. The implementation emphasized DataOps practices and pipeline automation, using IBM StreamSets to provision data from multiple sources and formats, detect and manage data drift, and enable real time flow where required. Functional capabilities implemented included continuous data ingestion, schema and drift monitoring, transformation and routing logic for heterogenous inputs, and pipeline orchestration to speed onboarding of new data sources. Operational coverage focused on supporting provider analytics and care coordination, with data from new pharmacy sources flowed through IBM StreamSets into Humana systems to reach care teams and analytics consumers. The deployment targeted enterprise information management and analytics processes, enabling cross functional consumption by clinical teams and care operations without naming specific downstream systems. Governance centered on DataOps led automation and standardized pipelines, with the Information Management and Analytics organization leading process changes to accelerate provisioning and maintain data quality. As stated by Anne Britton Arnett, VP Information Management and Analytics, Humana, "StreamSets technologies and DataOps practices allow us to deliver the business outcomes that we're focused on and make an impact on the people we serve every day," and the implementation explicitly aimed to give providers better access to insights to anticipate needs, address social determinants, and enable members to have more control over their outcomes.
Woodside Energy Oil, Gas and Chemicals 4718 $8.6B Australia IBM IBM StreamSets Extract, Transform, and Load (ETL),iPaaS (Integration Platform as a Service) 2018 n/a In 2018, Woodside Energy implemented IBM StreamSets within its Extract, Transform, and Load (ETL),iPaaS (Integration Platform as a Service) stack to establish a centralized ingestion and pipeline orchestration layer for its enterprise data platform. The deployment was positioned to support the Business Intelligence function and enterprise data initiatives, with initial operational alignment to BI teams based in Perth and broader corporate data consumers. IBM StreamSets was configured to run continuous and batch ingestion pipelines, providing pipeline design, schema drift handling, data validation, and runtime orchestration consistent with Extract, Transform, and Load (ETL),iPaaS (Integration Platform as a Service) practices. Implementation included reusable pipeline templates, connector configurations for common enterprise sources, and operational controls for retries, error routing, and data lineage capture to support analytical downstream processing. The StreamSets implementation integrated explicitly with Snowflake as the target analytic warehouse, DBT for declarative model transformations, GitHub for pipeline version control and CI CD, HVR for change data capture and replication flows, and Datadog for runtime observability and alerting. These integrations formed a contiguous data flow from capture through transformation to consumption, and they were used to align pipeline lifecycle artifacts with source control and monitoring pipelines. Governance emphasized pipeline lifecycle management, with configuration stored in GitHub for change tracking and automated deployment, and monitoring dashboards in Datadog to surface pipeline health to data engineering and BI stakeholders. The program focused on standardizing ingestion patterns, enforcing configuration conventions, and operationalizing StreamSets pipelines into the enterprise data platform architecture.
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Buyer Intent: Companies Evaluating IBM StreamSets

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating IBM StreamSets. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating IBM StreamSets for Extract, Transform, and Load (ETL), iPaaS (Integration Platform as a Service) include:

  1. Indian Institute of Management Indore, a India based Education organization with 300 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

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FAQ - APPS RUN THE WORLD IBM StreamSets Coverage

IBM StreamSets is a Extract, Transform, and Load (ETL), iPaaS (Integration Platform as a Service) solution from IBM.

Companies worldwide use IBM StreamSets, from small firms to large enterprises across 21+ industries.

Organizations such as Humana and Woodside Energy are recorded users of IBM StreamSets for Extract, Transform, and Load (ETL), iPaaS (Integration Platform as a Service).

Companies using IBM StreamSets are most concentrated in Insurance and Oil, Gas and Chemicals, with adoption spanning over 21 industries.

Companies using IBM StreamSets are most concentrated in United States and Australia, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of IBM StreamSets across Americas, EMEA, and APAC.

Companies using IBM StreamSets range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 50%, and global enterprises with 10,000+ employees - 50%.

Customers of IBM StreamSets 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 IBM StreamSets 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), iPaaS (Integration Platform as a Service).