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Overview

Pinterest is one of the largest HBase users with over 50 production clusters and 9,000 virtual machines. However, they wanted a new solution as scalable as NoSQL, but with the ability to handle transactions for online services and provide analytics into business metrics.

In this short video, Pinterest Senior Engineering Manager Lianghong Xu explains why the company chose TiDB database, an advanced open-source, distributed SQL database to handle its growing HBase workloads.

Related Resources

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Customer Story
How Data Engineering is Powering Pinterest’s Global Platform
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Alberto Ordonez Pereira

HTAP Summit 2023 Session Replay: Structured Data Store: Leveraging TiDB to Support Multiple Data Models at Pinterest

Ankita Wagh

HTAP Summit 2022 Session Replay: Modernizing HBase Workloads with TiDB at Pinterest