Apps Purchases: 10+ Million Software Purchases
Founded in 2010, APPS RUN THE WORLD is a leading technology intelligence and market-research company devoted to the application space. Leveraging a rigorous data-centric research methodology, we ask the simple B2B sales intelligence question: Who’s buying enterprise applications from whom and why?
Our global team of 50 researchers has been studying the digital transformation initiatives being undertaken by 2 million + companies including technographic segmentation of 10 million ERP, EPM, CRM, HCM, Procurement, SCM, Treasury software purchases, 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.
Apps Run The World Buyer Insight and Technographics Customer Database has over 100 data fields that detail company usage of emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database, and different on-prem and cloud apps by function, customer size (employees, revenues), industry, country, implementation status, year deal won, partner involvement, Line of Business Key Stakeholders and key decision-makers contact details, including the systems being used by Fortune 1000 and Global 2000 companies.
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- Analytics and BI
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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Similarweb | Professional Services | 1085 | $250M | United States | Firebolt Analytics | Firebolt | Data Warehouse | 2022 | n/a | In 2022, Similarweb integrated Firebolt as a Data Warehouse to power customer-facing market intelligence and segment analysis for its web analytics platform. The deployment targeted production workloads running on AWS and was operated from its New York and Tel Aviv sites to serve global customers. The Firebolt production deployment was sized to handle multi-terabyte queries and to enable sub-second to approximately one-second UI load times for interactive analytics. The implementation supported dynamic segmentation over trillions of rows without heavy pre-processing, enabling marketing and product analytics use cases that require ad hoc filtering and rapid cohort analysis. Integration architecture centered on Firebolt on AWS as the analytical storage and query engine, feeding the Similarweb web analytics front end and customer-facing intelligence surfaces. The Data Warehouse implementation consolidated high-frequency analytical queries into a single runtime, reducing reliance on pre-aggregated pipelines and enabling on-demand segment computation. Operational scope included marketing analytics, product analytics, and customer-facing intelligence teams across Similarweb’s global operations. Governance emphasized production query performance and runtime segmentation workflows, with rollout focused on delivering consistent interactive performance for end users rather than upstream ETL rework. | |
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eHarmony | Professional Services | 250 | $250M | United States | MicroStrategy | MicroStrategy ONE Analytics | Analytics and BI | 2015 | n/a | ||
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Professional Services | 900 | $250M | United States | MicroStrategy | MicroStrategy ONE Analytics | Analytics and BI | 2015 | n/a |
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Professional Services | 1400 | $250M | United States | Microsoft | Microsoft Power BI | Analytics and BI | 2015 | n/a |
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Banking and Financial Services | 1000 | $250M | United States | Microsoft | Microsoft Power BI | Analytics and BI | 2016 | n/a |
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Government | 1000 | $250M | United States | Microsoft | Microsoft BI (SSRS, SSAS, SSIS, SQL Server Reporting) | Analytics and BI | 2016 | n/a |
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Professional Services | 1400 | $250M | United States | Microsoft | Microsoft Power BI | Analytics and BI | 2013 | n/a |
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Professional Services | 2500 | $250M | United States | Microsoft | Microsoft Power BI | Analytics and BI | 2016 | n/a |
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Education | 1000 | $250M | United States | Microsoft | Microsoft Power BI | Analytics and BI | 2016 | n/a |
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Manufacturing | 1300 | $250M | United States | Microsoft | Microsoft Power BI | Analytics and BI | 2015 | n/a |
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