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Pinterest is an online platform used to save and share images. Behind the scenes, it uses a highly advanced technology stack to ensure a user-friendly experience. This technology stack is composed of a range of different components including Node.js, HBase, Apache Hive, Cassandra, and Redis. Node.js is the backend language used to build the application, while HBase is used for storage and Apache Hive is used for analytics. Cassandra and Redis are used for data caching and for storing session data, respectively. All these components work together to provide an efficient and reliable user experience. With a powerful technology stack like this, Pinterest is able to provide an easy and enjoyable platform for users to save and share their favorite images.

Pinterest is an online platform for sharing and discovering creative ideas. It is powered by a sophisticated technology stack that includes several layers. At the core of Pinterest's technology stack is a distributed storage system, Apache Cassandra, which stores user data such as pins, boards, and comments. This data is then indexed with Apache Lucene to enable fast search and retrieval of pins. On top of the storage layer, Pinterest uses a number of web technologies, such as Python, Django, and React.js, to deliver a smooth and engaging user experience. Additionally, Pinterest uses advanced machine learning algorithms to tailor recommendations to each user's interests. Finally, to support its global user base Pinterest makes use of a robust cloud computing infrastructure, such as Amazon Web Services. All of these components work together to create an efficient platform that can handle large amounts of data quickly and reliably.