List of Software AG Apama Customers
Darmstadt, 64297,
Germany
Since 2010, our global team of researchers has been studying Software AG Apama 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 Software AG Apama for Analytics and BI 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 Software AG Apama for Analytics and BI include: Freie Universitaet Berlin, a Germany based Education organisation with 4450 employees and revenues of $368.0 million, Schwering & Hasse, a Germany based Manufacturing organisation with 230 employees and revenues of $115.0 million, Royal Dirkzwager Netherlands, a Netherlands based Transportation organisation with 50 employees and revenues of $5.0 million and many others.
Contact us if you need a completed and verified list of companies using Software AG Apama, 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 Software AG Apama 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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Freie Universitaet Berlin | Education | 4450 | $368M | Germany | Software AG | Software AG Apama | Analytics and BI | 2015 | n/a |
In 2015 Freie Universitaet Berlin deployed Software AG Apama as part of Software AG’s Streaming Analytics Education Package to deliver hands on instruction in real time analytics and decisioning. The deployment is categorized as Analytics and BI and was provisioned through Software AG’s University Relations program in Germany as an academic education deployment supporting coursework and lab exercises.
The implementation emphasized Software AG Apama streaming analytics and complex event processing capabilities, enabling students to prototype event correlation, temporal pattern detection, and event driven decisioning workflows. Coursework used the Software AG Apama platform to build and instrument integration points to transaction and operational systems, and to exercise real time ingestion, pattern matching, and rule based decision workflows typical of streaming analytics environments.
Operational scope was explicitly academic, embedded in teaching and curriculum activities within Freie Universitaet Berlin, and focused on preparing students to design and integrate real time analytics into operational systems. Governance and rollout were managed as an education program under Software AG’s University Relations framework, prioritizing reproducible lab configurations, instructor led exercises, and hands on student projects rather than enterprise production support.
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Royal Dirkzwager Netherlands | Transportation | 50 | $5M | Netherlands | Software AG | Software AG Apama | Analytics and BI | 2014 | n/a |
In 2014, Royal Dirkzwager Netherlands deployed Software AG Apama to provide real-time streaming analytics for its maritime monitoring and port-call services. The Software AG Apama implementation is positioned as a streaming analytics layer to process vessel events and port-call status updates and to feed event-driven commercial services.
Deployment centered on Apama streaming analytics modules for complex event processing, low-latency message handling, and rule-based pattern detection, aligning with the Analytics and BI category. Software AG Apama was configured to accelerate real-time message handling and to support continuous event ingestion and stream-oriented analytics workflows across operational feeds.
Operational scope covered maritime operations and port-call coordination in the Netherlands, with the Apama deployment scaling distribution of ship and port analytics to hundreds of customers and enabling customer-facing analytics delivery. The implementation supported business functions including maritime monitoring, port-call services, and commercial analytics distribution rather than batch reporting.
Governance emphasized event-processing workflows and distribution pipelines to ensure timely delivery of stream results to downstream consumers and customers. The project explicitly delivered faster real-time message handling, improved event processing, and enabled new commercial services in the Netherlands.
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Schwering & Hasse | Manufacturing | 230 | $115M | Germany | Software AG | Software AG Apama | Analytics and BI | 2014 | n/a |
In 2014, Schwering & Hasse implemented Software AG Apama to build a real time quality management solution on its factory floor in Lügde, Germany. The deployment used the Apama correlator as the streaming analytics engine within the Analytics and BI category to monitor tens of thousands of production events per second and to feed operator interfaces.
Implementation focused on streaming event ingestion and correlation, using the Apama correlator to detect tiny manufacturing faults in real time and to generate alerts for operators. The solution was configured to sustain very high event rates, providing continuous pattern matching and rule based detection across sensor and machine signals.
The operational scope centered on quality management and production operations at the Lügde site, with outputs routed to operator interfaces for situational awareness and immediate response. Software AG Apama handled event routing and correlation at line speed, integrating into operator workflows rather than batch quality inspections.
Governance emphasized embedding analytics into existing operator decision processes and adjusting inspection workflows to respond to real time alerts. The implementation improved situational awareness and reduced defects through early detection of micro faults while maintaining high throughput event handling.
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