Cost and Performance Advantages of Replacing HBase with TencentDB TDSQL TDStore Engine in Historical Data Scenarios

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..... Cost and Performance Advantages of Replacing HBase with TencentDB TDSQL TDStore Engine in Historical Data Scenarios
PTI News
Dated:- 22-4-2025
PTI
SHENZHEN, China, April 22, 2025 /PRNewswire/ -- HBase has long been a preferred solution for large-scale data storage due to its scalability, high availability, and cost-effectiveness on commodity hardware. However, evolving business demands .....

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..... —such as the need for structured data management, real-time analytics, and cost optimization—have exposed limitations in HBase's functionality. TencentDB TDSQL (TDStore Engine) addresses these gaps with a NewSQL architecture, offering MySQL 8.0 compatibility, cloud-native elasticity, and advanced compression, making it a superior alternative for historical data storage. Key Limitations of HBase .....

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..... 1. Operational Complexity: HBase's reliance on multiple components (e.g., Hadoop ecosystem tools) complicates deployment and maintenance. Declining community support further exacerbates these challenges. 2. Lack of Secondary Indexes: Queries require sequential access to index and primary tables, increasing latency (e.g., 150 ms average query time). 3. Transactional Constraints: HBase only guar .....

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..... antees single-row atomicity, complicating consistency between primary and index tables. 4. High Disaster Recovery Costs: Dual-cluster setups (5–6 replicas) for cross-AZ redundancy inflate storage costs. 5. Compression Limitations: Default Snappy compression offers suboptimal efficiency, while upgrading to ZSTD risks instability. Advantages of TDSQL TDStore Engine 1. Cost Efficiency a. Storag .....

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..... e Optimization: TDStore's LZ4+ZSTD compression achieves a 47% reduction in single-replica storage size compared to HBase's Snappy. Combined with reduced replica requirements (one TDStore cluster replaces dual HBase clusters), overall costs drop significantly. b. Native Compression: Transparent data compression minimizes storage footprints without compromising query performance. 2. Performance I .....

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..... mprovements a. Latency Reduction: By eliminating redundant query steps (e.g., secondary index lookups), TDStore cuts average query latency from 150 ms to 37 ms. b. High Throughput: A multi-master architecture supports horizontal scaling, handling millions of QPS for real-time transactions. 3. Enhanced Data Governance a. Structured Schema: Unlike HBase's schema-less KV design, TDStore enforces p .....

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..... redefined columns and data types, preventing invalid data ingestion and reducing post-validation efforts. b. Unified SQL Access: Native MySQL compatibility simplifies integration with existing systems, avoiding middleware like Phoenix. 4. Operational Simplicity a. Cloud-Native Elasticity: Containerized management enables seamless scaling and upgrades without downtime. b. Online DDL Support: Sc .....

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..... hema changes (e.g., adding columns or indexes) execute natively without external tools, ensuring uninterrupted operations. Case Study: Tencent Financial Services In a payment records system, migrating from HBase to TDStore reduced storage costs by 47% and query latency by 75%. The elimination of dual-cluster redundancy and streamlined SQL access further enhanced operational efficiency. Conclus .....

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..... ion TencentDB TDSQL TDStore Engine demonstrates clear superiority over HBase in historical data scenarios, balancing cost, performance, and manageability. Its cloud-native design, MySQL compatibility, and advanced compression align with modern requirements for scalable, low-latency data management. As Tencent continues refining TDStore, it aims to solidify its role in enterprise-grade data solutio .....

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..... ns. #TencentDB #TDSQL #Tencent Cloud Big Data (Disclaimer: The above press release comes to you under an arrangement with PRNewswire and PTI takes no editorial responsibility for the same.). PTI PWR PWR
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