{"id":3476,"date":"2024-03-13T07:01:22","date_gmt":"2024-03-13T07:01:22","guid":{"rendered":"https:\/\/www.silicloud.com\/blog\/what-is-the-architecture-of-teradata-like\/"},"modified":"2025-07-30T16:51:07","modified_gmt":"2025-07-30T16:51:07","slug":"what-is-the-architecture-of-teradata-like","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/blog\/what-is-the-architecture-of-teradata-like\/","title":{"rendered":"Teradata Architecture Explained"},"content":{"rendered":"

The architecture of Teradata is a multi-tiered structure that includes several key components:<\/p>\n

    \n
  1. Parsing Engine (PE): Responsible for receiving and parsing SQL query requests, performing query optimization and generating execution plans. PE also manages user sessions and access control.<\/li>\n
  2. BYNET is the communication layer of Teradata, responsible for transmitting data and query requests between components.<\/li>\n
  3. AMPs are responsible for storing and processing actual data. Data is horizontally sharded and stored in AMPs, with each AMP handling a portion of the data. Communication between AMPs is facilitated by BYNET.<\/li>\n
  4. Virtual Disk Array (Vproc) is responsible for reading data into memory for processing and returning the results to the PE.<\/li>\n
  5. Virtual Gateway Processor (VProc): Responsible for processing connection requests and communication with other systems.<\/li>\n
  6. The database Teradata utilizes a shared storage structure, where data is stored horizontally partitioned on AMPs. Users can access and manipulate the data through SQL query language.<\/li>\n<\/ol>\n

    The entire architecture is a symmetrical multiprocessing system, where each component can be independently expanded to enhance performance and capacity. The Teradata architecture design is aimed at achieving high availability, high performance, and scalability, suitable for handling large-scale data analytics and processing requirements.<\/p>\n","protected":false},"excerpt":{"rendered":"

    The architecture of Teradata is a multi-tiered structure that includes several key components: Parsing Engine (PE): Responsible for receiving and parsing SQL query requests, performing query optimization and generating execution plans. PE also manages user sessions and access control. BYNET is the communication layer of Teradata, responsible for transmitting data and query requests between components. […]<\/p>\n","protected":false},"author":12,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[1],"tags":[1783,1782,1780,1781,1779],"class_list":["post-3476","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-amps","tag-bynet","tag-database-systems","tag-parsing-engine","tag-teradata-architecture"],"yoast_head":"\nTeradata Architecture Explained - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" content=\"Discover Teradata's multi-tiered architecture with key components: Parsing Engine, BYNET, and AMPs. 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