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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Revinate | Professional Services | 480 | $107M | United States | ChaosSearch | Chaos LakeDB | Data Warehouse | 2020 | n/a | In 2020, Revinate deployed Chaos LakeDB from ChaosSearch to provide a centralized analytics store for log analytics and for product and operations insights. The implementation positioned Chaos LakeDB as a Data Warehouse layer to index and query high-volume event and log data while preserving the existing Kibana user experience for analysts and product teams. Chaos LakeDB was configured to support continuous log ingestion, full text search and query servicing, and retention policy enforcement aligned to product and operations use cases. The deployment preserved the Kibana UX for end users, enabling existing dashboards and visualizations to remain in use without retraining, while shifting indexing and storage responsibilities to the lake-backed index. Operational integration retained Kibana as the analytics front end, connecting current visualization workflows to Chaos LakeDB as the underlying Data Warehouse. The architecture removed manual re-index and shard management by consolidating indexing into the managed lake-backed index, and customer notes cite about 30 percent monthly cost savings compared to hosting ELK on EC2. Governance emphasized reducing engineering operational toil by centralizing log analytics in Chaos LakeDB and standardizing ingestion pipelines and retention controls across product and operations teams. This implementation freed engineering cycles previously consumed by index and shard maintenance and eliminated re-index and shard toil according to the customer account. | |
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Strada Services | Construction and Real Estate | 480 | $75M | United States | Microsoft | Microsoft Power BI | Analytics and BI | 2023 | n/a | ||
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Media | 480 | $137M | Japan | Chartbeat | Chartbeat | Analytics and BI | 2020 | n/a |
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Professional Services | 482 | $61M | Japan | Prime Number | PrimeNumber | Analytics and BI | 2020 | n/a |
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Banking and Financial Services | 485 | $250M | Sweden | SAS Institute | SAS Enterprise Miner | Analytics and BI | 2019 | n/a |
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Banking and Financial Services | 485 | $250M | Sweden | SAS Institute | SAS Visual Analytics | Analytics and BI | 2020 | n/a |
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Professional Services | 487 | $58M | Thailand | Microsoft | Microsoft Power BI | Analytics and BI | 2022 | n/a |
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Leisure and Hospitality | 487 | $691M | United States | Teradata | Teradata VantageCloud Lake | Analytics and BI | 2025 | n/a |
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Life Sciences | 489 | $239M | United Kingdom | SAP | SAP BusinessObjects | Analytics and BI | 2011 | n/a |
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Banking and Financial Services | 490 | $110M | United States | Microsoft | Microsoft BI (SSRS, SSAS, SSIS, SQL Server Reporting) | Analytics and BI | 2016 | n/a |
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