MogDB - Safe and Easy-to-Use Commercial Database Based on openGauss.
MogDB is an enhanced enterprise-ready database developed by Yunhe Enmo based on the openGauss open source database. It is tailored to be applied to the new-generation database application scenarios around enterprise users‘ demands for high performance, high availability, full encryption, automatic operation and maintenance, and multi-database compatibility. Its core values lie in such advantages as ease of use and high security, performance, and compatibility as well as 24/7 enterprise support.
Learn MoreAI
Helps adjust database parameters, finds slow SQL queries, recommend the optimal index combo scheme, and predicts the SQL execution time automatically using machine learning algorithms.
Multi-Store Engine
Provides a unified transaction mechanism, log system, concurrent control system, and table access method interface, and supports Astore and Ustore storage engines.
Fully-Encrypted Database
Builds a multi-layer database security defense system through mature technical security means, guaranteeing database security in apps.
Converged Storage Engine
Supports swappable storage engines and adds the in-place update storage engine, improving the Xlog write and standby playback efficiency.
Row-Column Storage Engine
Provides the optimal data compression ratio (column-store engine), index performance (column-store engine), and point update and query performance.
Mogeaver
Mogeaver is implemented with secondary development and packaging based on DBeaver, the popular open source graphic tool, by strictly abiding by the ASL open source protocol of DBeaver Community Edition. It supports graphical development and management of MogDB, graphical creation, modification, and debugging of storage procedures in MogDB, and customization of functions and packages.
Learn MoreMogHA
MogHA is a high availability system developed based on the synchronous and asynchronous streaming replication technology. It aims to guarantee the continuity of upper-layer applications by shortening the RTO on the premise that the RPO is ensured.
Learn MorePTK
PTK (Provisioning Toolkit) is a command line tool developed for MogDB database deployment and maintenance and designed to help users get started quickly and manage MogDB clusters more easily.
Learn MoreMogDB Stack
MogDB Stack is an automatic operation and maintenance system on Kubernetes for MogDB clusters. It provides full life cycle management of MogDB, including deployment, HA, horizontal scaling, monitoring, and backup and recovery. With MogDB Stack, MogDB can run on public cloud or in a Kubernetes cluster.
Learn MoreMDB - Heterogeneous Database Migration Kit
MDB (MogDB Data Bridge) is a migration and synchronization solution designed specifically for MogDB, providing comprehensive, automated, secure, and professional services throughout the entire migration process for heterogeneous data to MogDB.
Learn MoreMigrate Solution
Based on the actual migration experience of real users, we have accumulated a wealth of migration cases and formed a scientific migration methodology and operational guidance to help customers migrate and synchronize heterogeneous databases.
Contact UsFull Migration
Full migration includes the migration of object structures and full data. By designing consistent queries, it rapidly replicates the structure and data from the source database's current state to the target database.
Incremental Synchronization
Building upon full migration, it queries and interprets changes in the source's CDC data and maps the incremental changes to the structure of the target, achieving near real-time consistency between the target and the source.
Compatibility Assessment
Before migrating heterogeneous data, it captures and interprets SQL queries from the source's business operations to assess their compatibility and performance changes in MogDB. This provides factual evidence for adapting the business systems and offers reference for operational optimization.
Data Verification
After migrating heterogeneous data, it performs multidimensional, efficient, and accurate verification of object structures and business data in both heterogeneous databases, ensuring no data loss or corruption before and after migration, thus safeguarding core data security.