Customer feedback
"The cloud migration was an opportunity for us to refine our system architecture, streamline it, and cut maintenance costs. With Tair, scaling became effortless. We didn't need to reserve excessive memory, as we could manage sudden capacity surges with one-click scaling. Our engineers were spared from overnight data migrations." — Xueqiu Market System Owner
Customer profile
Xueqiu is an online wealth management platform with over 43 million users. It provides extensive content and data, and operates a trading system that encompasses A-shares, Hong Kong stocks, US stocks, mutual funds, and private funds. Daily, millions of users engage in community discussions, access data across various markets and product categories, subscribe to and generate content, and execute trades.
Business challenges
Xueqiu's market system frequently faces high-concurrency queries, presenting substantial challenges to the backend database. To offer investors a more seamless and stable market query experience, Xueqiu was determined to speed up its market system's cloud migration by integrating Tair (Enterprise Edition).
Solution
Xueqiu introduced Tair (Enterprise Edition) to replace the previously utilized Redis open-source version database. Tair boasts features such as:
Ready-to-use capabilities.
Support for both manual one-click scaling and automatic elastic scaling. Previously, Xueqiu's engineering team had to conduct scale-up operations during off-peak hours, such as early weekend mornings. This involved code adjustments and data verification, which was labor-intensive and time-consuming. Now, the Tair in-memory database's elastic scaling feature allows for online adjustments to instance capacity and architecture.
Support for Tair extended data structures.
Business benefits
Tair fulfills the high concurrency and low latency demands of Xueqiu's market system and addresses challenges such as high costs, cumbersome scaling, and complex maintenance.
Significantly reduces the market system's database costs by more than 50%.
Lowers labor costs for database operations and maintenance.
Streamlines the scaling process, enabling customers to easily adapt to business fluctuations.