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Real-Time Data at Scale

Empower decisions at the speed of business by extracting unified insights easily and quickly

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Mitigate Services Traffic Surges

Anticipate business growth by effortlessly scaling database infrastructure

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Uninterrupted Business Growth

Maintain frictionless continuity with a highly available database infrastructure at the click of a button

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Open Source from Day One

Leverage the power of global innovation with the leading database open source community

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Trusted by Innovation Leaders

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Case Study

Full Case Study

Why Streak Chose TiDB to Make Its CRM Real-Time

Streak is a Google Chrome extension that directly integrates with Google Workplace to create a CRM dashboard of sales pipelines, contacts, and action items. Founded in 2011, they now have over 6000 customers worldwide with industry leading companies such as Opendoor, Uber, Atlassian, Logitech, Rappi, and Keller Williams.   Streak is layered on top of Gmail […]

TiDB is enabling Streak users to share emails and metadata effortlessly, and is enabling our developers to move faster than ever before.

Fred Wulff, VP of Engineering
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Why TiDB?

PingCAP is dedicated to building TiDB, an Open Source, Cloud Native, distributed, MySQL compatible database for elastic scale and real-time analytics

Related Resources

O'reilly
Thought Leadership
O’Reilly Report: Key Considerations for Next Generation Databases
How an HTAP Database Handles OLTP and OLAP Workloads at the Same Time
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How an HTAP Database Handles OLTP and OLAP Workloads at the Same Time
My Journey from Traditional Monolithic Architecture to Distributed SQL
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My Journey from Traditional Monolithic Architecture to Distributed SQL
O'reilly
Thought Leadership
O’Reilly Report: Key Considerations for Next Generation Databases
How an HTAP Database Handles OLTP and OLAP Workloads at the Same Time
Product
How an HTAP Database Handles OLTP and OLAP Workloads at the Same Time
My Journey from Traditional Monolithic Architecture to Distributed SQL
Product
My Journey from Traditional Monolithic Architecture to Distributed SQL
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