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Huawei GaussDB is an enterprise-class AI-Native distributed database that uses the massively parallel processing (MPP) architecture. GaussDB supports both row and column-oriented storage and is capable of processing petabytes of data. GaussDB offers a cost-efficient, general-purpose computing platform to manage massive data sets and is compatible with a wide range of data warehousing systems, business intelligence (BI) systems, and decision support systems (DSS).
Huawei GaussDB integrates AI technology into the database kernel architecture and algorithms, providing users distributed databases with higher performance, higher availability, and more diverse computing power.
HA for all components with zero single point of failure (SPOF): Data Nodes (DN) HA plus Handoff, multi-active Coordinator Nodes (CN). Scaling without downtime: data insertion, deletion, modification, query, and DDL operations (DROP, TRUNCATE, ALTER TABLE) supported during scaling.
Full parallel computing: hybrid row and column storage plus vectorized execution, able to respond to correlative analysis on trillions of records in seconds. Fast parallel bulk data loading.
Shared-nothing architecture with remarkable scalability of up to 2048 nodes per cluster.
|Data volume||10 PB|
|Single table size||1 PB|
|Data volume per row||1 GB|
|Field size||1 GB|
|Maximum number of records in a table||255|
|Maximum number of columns in a table||1,600|
|Maximum number of indexes in a table||Unlimited|
|Maximum number of columns in an index||32|
|Maximum number of constraints in a table||Unlimited|
|Number of partitions of a partitioned table||32,768|
|Size of each partition in a partitioned table||1 PB|
|Number of records in each partition of a partitioned table||255|
|Scalability||2048(logical cluster nodes)
256(physical cluster nodes)
|Concurrent connections||600 (load balancing among 10 Coordinators)|