{"id":21864,"date":"2025-04-22T17:33:02","date_gmt":"2025-04-22T10:33:02","guid":{"rendered":"https:\/\/thaipropertynews.com\/feeds\/?p=21864"},"modified":"2025-04-22T17:33:02","modified_gmt":"2025-04-22T10:33:02","slug":"cost-and-performance-advantages-of-replacing-hbase-with-tencentdb-tdsql-tdstore-engine-in-historical-data-scenarios","status":"publish","type":"post","link":"https:\/\/thaipropertynews.com\/feeds\/?p=21864","title":{"rendered":"Cost and Performance Advantages of Replacing HBase with TencentDB TDSQL TDStore Engine in Historical Data Scenarios"},"content":{"rendered":"

SHENZHEN, China<\/span><\/span>, April 22, 2025<\/span><\/span> \/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\u2014such as the need for structured data management, real-time analytics, and cost optimization\u2014have exposed limitations in HBase’s functionality. TencentDB TDSQL\u00a0 (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.<\/p>\n

Key Limitations of\u00a0HBase<\/b><\/p>\n

    \n
  1. Operational Complexity<\/b>: HBase’s reliance on multiple components (e.g., Hadoop ecosystem tools) complicates deployment and maintenance. Declining community support further exacerbates these challenges.<\/li>\n
  2. Lack of Secondary Indexes<\/b>: Queries require sequential access to index and primary tables, increasing latency (e.g., 150 ms average query time).<\/li>\n
  3. Transactional Constraints<\/b>: HBase only guarantees single-row atomicity, complicating consistency between primary and index tables.<\/li>\n
  4. High Disaster Recovery Costs<\/b>: Dual-cluster setups (5\u20136 replicas) for cross-AZ redundancy inflate storage costs.<\/li>\n
  5. Compression Limitations<\/b>: Default Snappy compression offers suboptimal efficiency, while upgrading to ZSTD risks instability.<\/li>\n<\/ol>\n

    Advantages of TDSQL TDStore Engine<\/b><\/p>\n

      \n
    1. Cost Efficiency
      <\/b>a.\u00a0 \u00a0Storage Optimization<\/b>: 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.\u00a0 \u00a0Native Compression<\/b>: Transparent data compression minimizes storage footprints without compromising query performance.<\/li>\n
    2. Performance Improvements
      <\/b>a.\u00a0 \u00a0Latency Reduction<\/b>: By eliminating redundant query steps (e.g., secondary index lookups), TDStore cuts average query latency from 150 ms to 37 ms.
      b.\u00a0 \u00a0High Throughput<\/b>: A multi-master architecture supports horizontal scaling, handling millions of QPS for real-time transactions.<\/li>\n
    3. Enhanced Data Governance
      <\/b>a.\u00a0 \u00a0Structured Schema<\/b>: Unlike HBase’s schema-less KV design, TDStore enforces predefined columns and data types, preventing invalid data ingestion and reducing post-validation efforts.
      b.\u00a0 \u00a0Unified SQL Access<\/b>: Native MySQL compatibility simplifies integration with existing systems, avoiding middleware like Phoenix<\/span>.<\/li>\n
    4. Operational Simplicity
      <\/b>a.\u00a0 \u00a0Cloud-Native Elasticity<\/b>: Containerized management enables seamless scaling and upgrades without downtime.
      b.\u00a0 \u00a0Online DDL Support<\/b>: Schema changes (e.g., adding columns or indexes) execute natively without external tools, ensuring uninterrupted operations.<\/li>\n<\/ol>\n

      Case Study: Tencent<\/span> Financial Services<\/b><\/p>\n

      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.<\/p>\n

      Conclusion<\/b><\/p>\n

      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<\/span> continues refining TDStore, it aims to solidify its role in enterprise-grade data solutions.<\/p>\n

      #TencentDB #TDSQL #Tencent Cloud Big Data<\/p>","protected":false},"excerpt":{"rendered":"

      <\/p>\n

      SHENZHEN, China<\/span><\/span>, April 22, 2025<\/span><\/span> \/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\u2014such as the need for structured data management, real-time analytics, and cost optimization\u2014have exposed limitations in HBase’s functionality. TencentDB TDSQL\u00a0 (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.<\/p>\n

      Key Limitations of\u00a0HBase<\/b><\/p>\n

        \n
      1. Operational Complexity<\/b>: HBase’s reliance on multiple components (e.g., Hadoop ecosystem tools) complicates deployment and maintenance. Declining community support further exacerbates these challenges.<\/li>\n
      2. Lack of Secondary Indexes<\/b>: Queries require sequential access to index and primary tables, increasing latency (e.g., 150 ms average query time).<\/li>\n
      3. Transactional Constraints<\/b>: HBase only guarantees single-row atomicity, complicating consistency between primary and index tables.<\/li>\n
      4. High Disaster Recovery Costs<\/b>: Dual-cluster setups (5\u20136 replicas) for cross-AZ redundancy inflate storage costs.<\/li>\n
      5. Compression Limitations<\/b>: Default Snappy compression offers suboptimal efficiency, while upgrading to ZSTD risks instability.<\/li>\n<\/ol>\n

        Advantages of TDSQL TDStore Engine<\/b><\/p>\n

          \n
        1. Cost Efficiency
          <\/b>a.\u00a0 \u00a0Storage Optimization<\/b>: 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.\u00a0 \u00a0Native Compression<\/b>: Transparent data compression minimizes storage footprints without compromising query performance.<\/li>\n
        2. Performance Improvements
          <\/b>a.\u00a0 \u00a0Latency Reduction<\/b>: By eliminating redundant query steps (e.g., secondary index lookups), TDStore cuts average query latency from 150 ms to 37 ms.
          b.\u00a0 \u00a0High Throughput<\/b>: A multi-master architecture supports horizontal scaling, handling millions of QPS for real-time transactions.<\/li>\n
        3. Enhanced Data Governance
          <\/b>a.\u00a0 \u00a0Structured Schema<\/b>: Unlike HBase’s schema-less KV design, TDStore enforces predefined columns and data types, preventing invalid data ingestion and reducing post-validation efforts.
          b.\u00a0 \u00a0Unified SQL Access<\/b>: Native MySQL compatibility simplifies integration with existing systems, avoiding middleware like Phoenix<\/span>.<\/li>\n
        4. Operational Simplicity
          <\/b>a.\u00a0 \u00a0Cloud-Native Elasticity<\/b>: Containerized management enables seamless scaling and upgrades without downtime.
          b.\u00a0 \u00a0Online DDL Support<\/b>: Schema changes (e.g., adding columns or indexes) execute natively without external tools, ensuring uninterrupted operations.<\/li>\n<\/ol>\n

          Case Study: Tencent<\/span> Financial Services<\/b><\/p>\n

          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.<\/p>\n

          Conclusion<\/b><\/p>\n

          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<\/span> continues refining TDStore, it aims to solidify its role in enterprise-grade data solutions.<\/p>\n

          #TencentDB #TDSQL #Tencent Cloud Big Data<\/p>\n

          <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":[],"rop_publish_now_history":[],"rop_publish_now_status":"pending","footnotes":""},"categories":[5,7],"tags":[],"class_list":["post-21864","post","type-post","status-publish","format-standard","hentry","category-cision-pr-newswire","category-cision-pr-newswire-en"],"_links":{"self":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts\/21864","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=21864"}],"version-history":[{"count":0,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts\/21864\/revisions"}],"wp:attachment":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=21864"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=21864"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=21864"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}