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Company: Uber
Industry: Transportation
Functional Use Case: Data Store, Time Series

Uber uses Apache Cassandra as a scalable and highly available database solution to power several of its critical services, including trip dispatching, payment processing, and driver-rider matching. Cassandra is used to store and manage large amounts of data that is distributed across multiple nodes and data centers, ensuring that data is always available and accessible even in the face of hardware failures or network partitions.

Some specific use cases of Apache Cassandra at Uber include:

1. Trip management: Uber stores data related to trips, such as trip requests, driver-rider matching, and trip details, in Cassandra. This enables real-time updates and data retrieval, allowing for efficient trip management and dispatching.

2. Payment processing: Cassandra is used to store payment-related data, such as payment method information and transaction histories. This allows for efficient payment processing and reconciliation.

3. User profile management: Uber stores user profile information, such as name, email address, and payment details, in Cassandra. This enables personalized experiences for riders and drivers, and allows for quick retrieval of user information when needed.

Overall, Cassandra’s scalability, fault tolerance, and flexible data modeling capabilities make it an ideal choice for Uber’s high-volume, real-time data needs.

Stack Includes: Java, Python, Apache Cassandra, Go, Apache Hadoop

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