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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Bloomberg | Media | 21000 | $12.5B | United States | Grafana Labs | Grafana Visualizations | Analytics and BI | 2018 | n/a | In 2018, Bloomberg deployed Grafana Visualizations to instrument observability across its market data and terminal infrastructure. The deployment uses Grafana Visualizations together with Metrictank to ingest and visualize hundreds of billions of data points daily, supporting production visibility for Bloomberg's critical financial services. The implementation centers on time series metric collection and storage via Metrictank, with Grafana Visualizations providing dashboarding, time series charts, and query-driven exploration. Core Analytics and BI functional capabilities implemented include real-time dashboards, historical trend analysis, and operational visualizations to support monitoring and incident response workflows. The observability stack routes telemetry from market data pipelines and terminal systems into Metrictank for retention and query, with Grafana Visualizations serving as the presentation layer for engineering and operations teams. Operational coverage spans production engineering and monitoring teams responsible for market data delivery and terminal uptime. Governance included centralized dashboards and documented implementation practices as reported in a Grafana Labs case blog, establishing a standard observability layer across the monitored estate. The source documents architecture and module usage rather than quantified outcomes, however it explicitly cites improved production visibility as a key result. | |
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Bigabid | Media | 106 | $27M | Israel | Firebolt Analytics | Firebolt | Data Warehouse | 2022 | n/a | In 2022 Bigabid adopted Firebolt on AWS as its Data Warehouse to consolidate business intelligence and near-real-time analytics for ad-tech campaign performance and internal reporting from its Tel Aviv operations. The migration began in 2022 and completed by early 2023, with implementation scope centered on marketing and analytics functions that consume large campaign datasets. Firebolt was configured to support high-concurrency SQL analytics, columnar compression, and accelerated query processing to enable near-real-time dashboards and BI queries across very large tables. Implementation focused on consolidating campaign telemetry and reporting feeds into a single analytics layer to streamline ad-hoc analysis and dashboarding workflows. Operational coverage remained concentrated in Tel Aviv, where data ingestion pipelines were redirected into the Firebolt Data Warehouse on AWS and production dashboards were transitioned to the new environment. The deployment emphasized a single analytics engine for campaign performance reporting and internal marketing analytics, replacing fragmented reporting workflows with centralized queryable datasets. Governance and rollout followed a staged migration completed by early 2023, with process changes to standardize data models and dashboarding practices for marketing and analytics teams. The implementation delivered explicit outcomes reported by the customer, including approximately 400x improvement in query performance and reduced storage via compression, while enabling near-real-time dashboards across very large tables. | |
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Media | 90 | $25M | France | Gameanalytics | Gameanalytics | Analytics and BI | 2022 | n/a |
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Media | 447 | $35M | Spain | GraphAware | GraphAware Hume | Analytics and BI | 2014 | n/a |
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Media | 60 | $10M | United States | Keen | Keen Event Data Management | Analytics and BI | 2016 | n/a |
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Media | 230 | $26M | Denmark | Kilkaya | Kilkaya | Analytics and BI | 2024 | n/a |
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Media | 1100 | $150M | Norway | Kilkaya | Kilkaya | Analytics and BI | 2024 | n/a |
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Media | 450 | $50M | United States | KnowledgeHound | KnowledgeHound Data Analysis | Analytics and BI | 2019 | n/a |
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Media | 600 | $120M | United States | KnowledgeHound | KnowledgeHound Data Analysis | Analytics and BI | 2022 | n/a |
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Media | 175 | $30M | Brazil | Chartbeat | Chartbeat | Analytics and BI | 2020 | n/a |
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