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TiDB
mysql-compatible distributed transactions and analytics
Why learn TiDB?
Useful when relational workloads need distributed scale. Protocol compatibility does not guarantee identical behavior for every MySQL feature.
Where it came from
TiDB is a distributed SQL database with MySQL compatibility and components for transactional and analytical workloads. Compute and storage roles are separated in its architecture.
Build your understanding
Work through these exercises in order. Try the task before opening a reference.
- Connect using a compatible MySQL client.
- Inspect the roles of the database components.
- Run a transaction with explicit constraints.
- Compare analytical and transactional query plans.
- Test application compatibility before planning migration.
Documentation and sources
- Official project documentation (docs.pingcap.com)
Catalog research notes
- Research snapshot: September 9, 2026. This entry summarizes the linked primary documentation; it does not assert a latest release version.
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Real World Example
Unified Inventory and Analytics for Global Retail
Global retail enterprises managing high-volume e-commerce platforms that require both immediate transaction processing and real-time inventory analytics.
The business problem
Traditional architectures force a split between transactional databases and analytical data warehouses. This creates data latency, where inventory reports are hours behind actual sales, leading to overselling or inefficient stock allocation during peak traffic.
How this topic solves it
TiDB provides a Hybrid Transactional and Analytical Processing (HTAP) architecture. By utilizing TiKV for row-based transactional storage and TiFlash for columnar-based analytical storage, the system maintains strong consistency while allowing complex analytical queries to run on the same data set without impacting transactional performance.
- Deploy the TiDB cluster across multiple availability zones to ensure high availability via the Multi-Raft protocol.
- Configure TiFlash nodes to act as columnar replicas of the primary TiKV row-based data.
- Direct transactional application traffic to TiDB nodes for standard SQL operations.
- Execute analytical reporting queries directly against the TiFlash engine to leverage columnar acceleration.
- Monitor replication lag between TiKV and TiFlash to ensure real-time data consistency for reporting.
This diagram illustrates how transactional data is ingested and then replicated for analytical processing.
SQL parsing and routing
Row-based storage for OLTP
Columnar storage for OLAP
- Application Layer → MySQL Protocol → TiDB Server
- TiDB Server → Write/Read Transactions → TiKV Engine
- TiKV Engine → Real-time Replication → TiFlash Engine
Expected business outcome
The business achieves real-time visibility into inventory levels across all regions, eliminating the need for complex ETL pipelines and reducing the window between a sale and its reflection in management reports to near-zero.
Limitations and checks
The primary trade-off is the additional storage cost and resource overhead required to maintain the TiFlash columnar replicas. Administrators must monitor the replication lag between TiKV and TiFlash to ensure that analytical queries do not return stale data during periods of extreme write pressure.