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How Uber Uses PostgreSQL

9 engineering articles about PostgreSQL from Uber's engineering team

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Intermediate
The article discusses Uber's transition to a portable microservices architecture optimized for cloud deployment.
Mathias Schwarz, Andrew Neverov
11 min read
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Advanced
The article discusses how Uber maintains operational excellence in data quality through a consolidated data quality platform (UDQ).
Ying Zou, Wei Yan, Maggie Ying, Sanjay Sundaresan, Sriharsha Chintalapani, Isabel Geracioti
21 min read
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Intermediate
The article introduces Athenadriver, an open-source database driver for Amazon Athena designed for Go, which facilitates seamless integration between Uber's business intelligence tools and AWS Athe...
Henry Fuheng Wu, Raymond Won, Nick Cobb, Mingjie Lai, Matt Ranney
8 min read
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Uber
Advanced
Uber's Big Data platform has evolved significantly, managing over 100 petabytes of data with minimal latency.
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Advanced
The article discusses how Uber Engineering scaled its global driver onboarding process to accommodate rapid growth across various cities and countries.
Jonathan Pepin
8 min read
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The article discusses Uber Engineering's transition from PostgreSQL to MySQL, detailing the limitations encountered with PostgreSQL and the advantages of MySQL's architecture, particularly in terms...
Evan Klitzke
25 min read
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Advanced
The article discusses Uber's transition from a monolithic architecture to a microservices architecture, highlighting the implementation of Tincup, a currency and exchange rate service.
Emily Reinhold
9 min read
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Beginner
The article discusses the experiences of a new graduate working on Uber's Money Team, highlighting the challenges and learning opportunities encountered while transforming Uber's trip data model.
Cory McDowell
5 min read
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The article discusses Uber's Project Mezzanine, which involved migrating hundreds of millions of rows of trip data and over 100 services to a new data storage solution while maintaining service con...
Rene Schmidt
10 min read
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