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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Disney+ Hotstar India | Media | 1700 | $500M | India | Apache Software | Apache Hudi | Data Warehouse | 2021 | n/a | In 2021, Disney+ Hotstar India implemented Apache Hudi in the Data Lakehouse category, adopting Apache Hudi to stabilize and scale its analytics data lake for streaming ad and behavioral analytics. The implementation targeted high read volume use cases and aimed to simplify operational complexity in production analytics pipelines. The deployment focused on Apache Hudi incremental ingestion and CDC style pipelines as described in public presentations, using Hudi capabilities for record level upserts, incremental reads, and file level compaction to support continuous ingestion and queryable change capture. Functional configuration emphasized incremental pull and compacted storage layouts to reduce read amplification and support ad hoc and analytical query patterns. Architecturally the work involved migrating portions of the analytics data lake from HBase to Apache Hudi, integrating Hudi tables into the existing analytics storage and query layers within India. The scope included the streaming ad technology stack and behavioral analytics pipelines, with Hudi functioning as the table storage and incremental consumption layer for downstream analytics and reporting. Governance and rollout were executed as phased migrations of data domains, with pipeline orchestration adjusted to CDC style flows and operational controls added for schema evolution and compaction policy management. The stated outcome was improved scale and query performance for Disney+ Hotstar India’s streaming ad and behavioral analytics platform while addressing very high read volumes and previous operational complexity. | |
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E-Partners Marketing | Media | 10 | $1M | United States | Plaid Financial | Plaid | Data Warehouse | 2024 | n/a | ||
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Media | 25 | $2M | India | Splitbee.io | Splitbee.io | Analytics and BI | 2021 | n/a |
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Media | 120 | $25M | United States | Chartbeat | Chartbeat | Analytics and BI | 2014 | n/a |
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Media | 30 | $6M | Brazil | Chartbeat | Chartbeat | Analytics and BI | 2014 | n/a |
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Media | 420 | $132M | United States | Chartbeat | Chartbeat | Analytics and BI | 2012 | n/a |
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Media | 43 | $4M | United States | Statsig | Statsig Platform | Analytics and BI | 2025 | n/a |
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Media | 90 | $13M | Ireland | Dreamdata | Dreamdata Revenue Analytics | Analytics and BI | 2024 | n/a |
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Media | 1400 | $700M | United States | Burt Intelligence | Burt Intelligence Platform | Analytics and BI | 2023 | n/a |
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Media | 300 | $50M | United States | Burt Intelligence | Burt Intelligence Platform | Analytics and BI | 2023 | n/a |
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