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Scaling TiDB for Large-scale Applications
Empowering Scalability, Performance with Simplicity
Kabilesh PR
Founding Partner, Mydbops LLP
42nd
MyWebinar - Mydbops
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Why Enterprises Choose TiDB ?
MySQL Scalability Bottlenecks
Scalable
Architecture
Ease of Migration from MySQL
Ease of Operation and Development
Ease of Observability and Alerting
Ease of Observability and Alerting
Real-Time - Analytics
Growing Community
01
02
03
5.9 K
COMMUNITY MEMBERS
INTERACTIVE
TIDB.AI
ACTIVE BUG FIXES
AND PATCHES
TiDB Community in Action
Real-World Use Cases
Case Study 1
RDS Challenges
About: Yulu is an Indian shared electric mobility platform - IOT data from Bike device
● Log data size exceeded 18 TB
● Writes were bottlenecked, impacting app performance
● Large dataset size led to slow DDL operations.
● Limited availability
● Increased database cost
Seamless horizontal scaling with
automatic data sharding for
efficient performance.
Scalability
Distributed architecture with an
optimized storage engine for high
performance, low latency, and
efficient write handling.
Performance
72% storage savings with data
compression (18TB to 3.4TB),
reducing hardware upgrade
needs and enhancing resource
efficiency.
Cost-Effectiveness
High availability with automatic
failover and strong data
consistency for continuous,
accurate operations.
Reliability
How TiDB Benefits Yulu
Case Study 2
Aurora Challenges
About: Client is in subscription management for online streaming services.
Benefits With TiDB
Horizontal scaling with
automatic data sharding for
seamless growth and efficient
workload distribution.
Scalability
Distributed architecture with an
optimized storage engine for high
performance, low latency, and
efficient write handling.
Performance
Resource-efficient with data
compression (13TB to ~2TB),
reducing storage, IOPS, and
hardware upgrade needs.
Cost-Effectiveness
High availability with automatic
failover and strong data
consistency for continuous,
accurate operations.
Reliability
Peak QPS 2.59 Million, p99 < 20ms, reduced infra cost by 30% , Aurora failed
Case Study 3
MySQL InnoDB Cluster Challenges
About: SAAS based chat application holding more than 700k table in one cluster
Benefits With TiDB
Horizontal scaling with
automatic data sharding for
seamless growth and efficient
workload distribution.
Scalability
Distributed architecture with an
optimized storage engine for high
performance, low latency, and
efficient write handling.
Performance
Cost-Effectiveness
High availability with automatic
failover and strong data
consistency for continuous,
accurate operations.
Reliability
Resource-efficient data
compression reduces storage,
IOPS, and hardware upgrade
needs.
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info@mydbops.com +91-9962288131 www.mydbops.com
Thank You