List of Apache Kudu Customers
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Since 2010, our global team of researchers has been studying Apache Kudu 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 Apache Kudu for Cloud Storage 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 Apache Kudu for Cloud Storage include: Comcast, a United States based Communications organisation with 182000 employees and revenues of $123.73 billion, Xiaomi China, a China based Manufacturing organisation with 31537 employees and revenues of $21.09 billion, Sensors Data China, a China based Professional Services organisation with 1500 employees and revenues of $100.0 million and many others.
Contact us if you need a completed and verified list of companies using Apache Kudu, 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 Apache Kudu 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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Comcast | Communications | 182000 | $123.7B | United States | Apache Software | Apache Kudu | Cloud Storage | 2015 | n/a |
In 2015, Comcast deployed Apache Kudu as the low latency columnar storage layer to power real time analytics on Xfinity set top box event streams and large scale operational analytics in the United States. Apps Category .
The implementation positioned Apache Kudu as the persistent, low latency columnar store supporting petabyte scale ingest and concurrent analytic queries. Functional capabilities centered on high throughput write paths for streaming set top box events and efficient columnar reads for ad hoc and scheduled analytic workloads, enabling near real time reporting and troubleshooting workflows for operational telemetry.
Operational coverage concentrated on Xfinity set top box event streams and associated network and customer telemetry, with the Kudu layer serving both streaming ingestion pipelines and downstream analytic query layers. The deployment supported concurrent queries against large datasets to facilitate troubleshooting and operational reporting while sustaining high velocity ingest.
Governance focused on operational monitoring of ingest rates, query concurrency, and columnar schema configuration to manage petabyte scale operations. Apache Kudu provided the storage substrate for Comcast's operational analytics stack and was used to surface near real time insights for network and customer telemetry.
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Sensors Data China | Professional Services | 1500 | $100M | China | Apache Software | Apache Kudu | Cloud Storage | 2019 | n/a |
In 2019, Sensors Data China deployed Apache Kudu as a core data store in a user behavior analytics platform, Apps Category . Sensors Data China built the platform using Apache Impala and Apache Kudu to ingest and analyze massive event streams for marketing and product analytics across Asia. The implementation targeted real time customer analytics and reporting for clients in finance, retail, and internet sectors. The platform was engineered to process hundreds of billions of events per day while providing queryable storage for downstream analysis.
The implementation used Apache Kudu for high throughput, updateable columnar storage and Apache Impala for interactive SQL on top of Kudu, enabling scalable ingest pipelines and low latency query performance. Functional capabilities implemented included event ingestion pipelines, time series and sessionization storage patterns in Kudu tables, and reporting and analytics layers that surfaced customer behavior and product telemetry. Apache Kudu was instrumented as the persistent store for streaming event windows and for near real time analytical queries.
Integrations were centered on the Apache Kudu and Apache Impala pairing, supporting large scale event processing and ad hoc analytics workloads without introducing named third party systems. Operational scope covered marketing and product analytics across Asia with clients in regulated and high throughput verticals, and the platform supported continuous ingest and query availability at massive scale. Governance work emphasized standardized event schemas and pipeline instrumentation to maintain queryable data quality and operational reliability.
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Xiaomi China | Manufacturing | 31537 | $21.1B | China | Apache Software | Apache Kudu | Cloud Storage | 2015 | n/a |
In 2015, Xiaomi China implemented Apache Kudu to build a next-generation platform for real-time analytics and online reporting across product and service telemetry in China. The deployment positioned Apache Kudu as the core storage and columnar access layer for operational analytics workloads, supporting interactive queries and near real-time ingestion from telemetry streams.
Xiaomi leveraged Apache Kudu alongside interactive SQL tools to enable fast scans and transactional updates, delivering the functional capabilities expected of a modern analytics store, including low-latency point updates, high-throughput sequential reads, and tight integration with SQL-based analytics workflows. The implementation focused on enabling operational reporting and ad hoc analysis across product and service telemetry, with Kudu serving as the persistent, mutable store for analytical tables.
Architecturally the work centered on embedding Apache Kudu into Xiaomi China’s analytics stack, providing a storage tier that balanced fast analytical scans with support for transactional updates required by online reporting. Governance emphasized centralizing telemetry analytics use cases on the Kudu-backed platform to standardize schemas and query patterns for product and service teams, while operational scope remained focused on Xiaomi’s China telemetry and reporting functions.
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