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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

List of Apama Streaming Analytics Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
ING Banking and Financial Services 60000 $24.8B Netherlands Software AG Apama Streaming Analytics Analytics and BI 2016 n/a In 2016, ING implemented Apama Streaming Analytics as a Streaming Analytics Platform. ING is listed on Software AG's customer roster for Apama Streaming Analytics, confirming the bank's use of the product for real-time event processing. Apama Streaming Analytics was configured to deliver high-throughput complex event processing, continuous stream ingestion, pattern detection and low-latency analytics. The implementation emphasized rule-driven streaming analytics and an engine-based architecture to evaluate and act on event patterns in-line, using Apama Streaming Analytics processing capabilities and streaming rule sets. Operational coverage targeted core banking functions that require immediate decisioning, including fraud detection, real-time risk monitoring, payments and trading workflows. The deployment was architected for distributed, cluster-based processing and co-located stream ingestion to reduce latency, with centralized event-rule management and operational workflows to govern streaming rules across business units.
Royal Dirkzwager Netherlands Transportation 50 $5M Netherlands Software AG Apama Streaming Analytics Analytics and BI 2017 n/a In 2017 Royal Dirkzwager Netherlands implemented Apama Streaming Analytics, a Streaming Analytics Platform from Software AG. The engagement is recorded publicly with Royal Dirkzwager listed as a customer on Software AG's website, establishing the Company Application Category relationship between Royal Dirkzwager Netherlands, Apama Streaming Analytics, and Streaming Analytics Platform for transportation business functions. The implementation centered on Apama Streaming Analytics capabilities typical of the Streaming Analytics Platform category, including high throughput stream ingestion, complex event processing rule sets, and continuous time series analytics for operational telemetry. Configuration work emphasized stream processing workflows, pattern detection, and event driven decisioning to support operational monitoring and control in transportation operations. Operational governance was aligned to operations and engineering stakeholders, focusing on runtime management and policy control for event rules and alerts. For a firm of approximately 50 employees the deployment signal suggests a lean operational footprint with attention to operator controls, rule lifecycle, and ongoing tuning of streaming analytics components.
Schwering & Hasse Manufacturing 230 $115M Germany Software AG Apama Streaming Analytics Analytics and BI 2017 n/a In 2017 Schwering & Hasse implemented Apama Streaming Analytics, deploying Apama Streaming Analytics as a Streaming Analytics Platform to support manufacturing operations, a customer relationship that is listed on Software AG's website. The implementation is positioned to process production-line telemetry and real-time machine events to surface actionable signals for shop floor monitoring and event-driven operational workflows. The deployment emphasizes capabilities typical of a Streaming Analytics Platform, including complex event processing, continuous query and pattern detection, low-latency event correlation, and streaming analytics for operational decisioning in production monitoring. Schwering & Hasse Apama Streaming Analytics Streaming Analytics Platform manufacturing operations is the functional relationship reflected in public vendor materials.
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