Transaction Applications
Applications need to process highly concurrent online transactions containing a large volume of data, such as e-commerce, finance, O2O, telecom customer relationship management (CRM), and billing.
MuDB is a fully enhanced enterprise distribution based on the PostgreSQL relational database. It is designed for high performance, high availability, high security, automated operation and maintenance, Oracle compatibility and other enterprise-level database requirements, to meet the needs of financial industry business.
It is designed for high performance, high availability, high security, automated operation and maintenance, multi-database compatibility and other enterprise-level database requirements, to meet the needs of enterprise-level business from core transactions to complex computing. Continually build MuDB competitive features by incorporating enterprise-class scenario requirements.
High Reliability
Built-in failover management,
RTO < 30s
High Security Comprehensive
end-to-end security protection
Financial Scene
Enhancement
Built-in hot account
solution, balance
tamper-
proof function
Easy O&M
All-in-one web console with
admin SOP & rich monitoring
Applications need to process highly concurrent online transactions containing a large volume of data, such as e-commerce, finance, O2O, telecom customer relationship management (CRM), and billing.
In IoT scenarios, such as industrial monitoring, remote control, smart cities, smart homes, and loV, challenges come from a large number of sensors and monitoring devices, high sampling frequency, additional storage modes, and concurrent operation and analysis.
All-in-one web console, it provides configuration templates for various scenarios, auto-tuned parameters, admin SOP and zero-downtime migrations plans. It also provides production-grade monitoring and alarm systems for host nodes and PostgreSQL databases.
Supports table data be in shared memory-resident or Redis-resident. MuDB seamless integration with Redis, accelerated data retrieval and the ability to scale memory capacity limitlessly through Redis's distributed architecture.
MuDB for postgres offers built-in failover management and failover times (RPO/RTO) in seconds.
Builds a multi-layer database security defense system through mature technical security means, guaranteeing database security in apps.
MuDB's data storage architecture has three tiers： online, short-term, and long-term. It helps organizations categorize data based on age and access frequency for efficient storage management.
Comprehensive business data change auditing and rule-based alerting. By tracking alterations in key business data, we enable organizations to monitor and respond to important events swiftly and effectively.
The built-in cluster management component proactively responds to server downtime and instance downtime, reducing the database fault duration from minute to second .
Apart from regular flow and capacity monitoring items, database event monitoring and the WDR report based on it are also provided.
Fuzzy query enhancement, partition unique index, large data volume cursor, replication slot high availability.
With 64-bit XIDs, the problem that 32-bit XIDs are easily used up existing in PostgreSQL for ages is now solved, and unnecessary vacuum freeze maintenance can be prevented.
The standby database adopts the WAL parallel replay mechanism, thereby preventing data delay occurred in large flow scenarios.
Built-in backup and restore processes to protect against disasters and emergencies and also includes features for point-in-time recovery.
Standard JDBC 4.0 and ODBC 3.5
Deployment ACID, recovery from SP OF, and primary/ standby data replication.
Deployment, instance start/stop and backup/restoration tools.
SQL-92, SQL-99, SQL:2003, andSQL:2011 standards, GBK and UTF-8 character sets, SQL standard functions and analytic functions, and stored procedures.
Management Tablespaces where different tables can be stored in different locations.
SSL network connection, permission/password management, and security auditing ensure data security at the management, app, system, and network layers.
Standard JDBC 4.0 and ODBC 3.5
SQL-92, SQL-99, SQL:2003, andSQL:2011 standards, GBK and UTF-8 character sets, SQL standard functions and analytic functions, and stored procedures.
SSL network connection, permission/password management, and security auditing ensure data security at the management, app, system, and network layers.
Deployment, instance start/stop and backup/restoration tools.
Deployment ACID, recovery from SP OF, and primary/ standby data replication.
Management Tablespaces where different tables can be stored in different locations.