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 customer story video, Pinterest Senior Engineering Manager Lianghong Xu explains why the company chose TiDB—an advanced open-source, distributed SQL database—to handle its growing HBase workloads. He shares the challenges Pinterest had with its original solution, why it landed on TiDB as a replacement, and how TiDB helps the company achieve its goals in production.

Related Resources

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

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