GBase 8a MPP Cluster is an analysis-oriented MPP database cluster system independently developed by GBase. It has core advantages such as a federated architecture, distributed massive data, efficient compression, efficient storage structure, intelligent indexing, flexible data distribution, online high-performance scalability, high concurrency, high availability, high security, easy maintenance, and efficient loading. It is suitable for usage scenarios such as big data platforms, comprehensive BI systems, data warehouses, and data marts.
GBASE's independently developed GBase 8a MPP Cluster is a mature analysis-oriented MPP database for the big data era. The latest version, GBase 8a MPP Cluster V9, is a virtual cluster that can be used to plan and build multiple clusters. Each cluster can be managed independently, enabling independent management of each cluster's business. The virtual cluster includes data management, user management, and cluster version management. The logical subsets of the virtual cluster can achieve transparent data migration, data correlation, and data sharing.
GBase 8a MPP Cluster is suitable for big data platforms, comprehensive BI systems, data warehouses, and data marts that contain relatively independent business areas or different types of analysis. Different application scenarios run in independent logical subsets of the cluster, which can be managed uniformly. This solution solves the problem of high management, monitoring, and maintenance costs of multiple physical clusters, while meeting the differentiated characteristics of different business scenarios, maximizing the use of resources, and enhancing the scalability and maintenance capabilities of the cluster. GBase 8a MPP Cluster features a diverse platform selection, up-to-date logical architecture, efficient storage and loading of massive data, high-performance analysis of massive data, elastic server resource scaling, complete system resource management, multi-level high availability, cross-data center data disaster recovery, convenient data migration, reliable data security, complete SQL standard support, and simple and convenient daily operation and maintenance. It can meet the growing demand for data analysis, data mining, data backup, and ad-hoc queries in various data-intensive industries.
Highlights
High-performance analysis of massive data
(1) High-performance, maintenance-free coarse-grained intelligent indexing technology
(2) Large-scale parallel technology, planner based on MPP technology, optimizer based on rules and cost, and scheduler based on asynchronous I/O technology
(3) No single point performance bottleneck
High-speed loading of massive data
(1) Single node loading performance can reach 100M/s
(2) Supports network protocols such as ftp/sftp/http/https
(3) Supports data loading from Amazon S3 object storage data source.
Multi-level High Availability
(1) Cluster-level high availability technology
(2) Node-level high availability technology
(3) High availability technology for overall cluster failure
(4) Core process-level high availability technology
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This listing is free to use, so you pay no software charges for GBase 8a MPP Cluster itself. Pricing is organized by the AWS EC2 instance size you choose to run the database on, billed per hour. Your options range from smaller general-purpose and burstable instances to memory-optimized and larger general-purpose types. Memory-optimized instances suit analytics that hold more data in RAM, while general-purpose instances balance compute and memory. You scale by picking a bigger instance for more processing and memory. Each instance runs the same analytical MPP database software.
Top-of-mind questions for buyers
What do the hourly instance charges cover, and am I billed when the instance is stopped?
Each hourly rate maps to running one AWS EC2 instance of that size with the database installed. The software itself is free, so charges reflect the underlying instance-hours. A stopped instance stops accruing hourly charges, though AWS storage fees for attached volumes may still apply.
How do the different instance sizes affect what the database can handle?
You pick one instance size per hour. Memory-optimized types (r5) hold more data in RAM for analytics. General-purpose types (m5) balance compute and memory. The t3 burstable type suits lighter, intermittent workloads. Larger sizes give more CPU and memory for bigger data scans and parallel query processing.
How do I scale up if my data volume grows over time?
You scale by choosing a larger instance size for more CPU and memory. The database uses an MPP shared-nothing design that spreads work across nodes and supports online cluster expansion. Each node handles a share of the data, so adding capacity raises processing and load throughput.
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Application or client layer: This represents the layer where applications or clients interact with the GBase 8a database. It can include various interfaces such as JDBC, ODBC, C API, or other supported protocols.
VPC (Virtual Private Cloud): The database is deployed within an AWS VPC environment, providing network isolation and security.
Coordinator Host (Public Subnet): This component represents the coordinator host, which acts as the central control node for the distributed database. It is deployed in a public subnet to allow external communication with the application or client layer.
Data Node Host (Private Subnet) and Auto Scaling Group: These components represent the data nodes of the distributed database. They are deployed in a private subnet for enhanced security and scalability. The auto scaling group enables the automated scaling of data nodes based on predefined rules and conditions. With the help of auto scaling policies, the number of data nodes can be automatically adjusted to handle variations in workload demand, ensuring optimal performance and efficient resource utilization based on the workload.
CloudFormation Template (CFT)
AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."
Version release notes
First Release
Additional details
Usage instructions
Template components
CloudFormation template
Usage instructions
Usage Instructions: After the image is launched, GBase 8a MPP Cluster V9.5.3 will be automatically checked and installed. You can connect to the operating system via SSH (using the EC2 keypair created by the system), with the default user "centos", then switch to the DBAuser user entered during system creation, and login to the GBase 8a MPP database cluster using the gccli command line client installed in the system:
gccli -uDBAuser -pDBApassword
If you connect to the GBase 8a MPP database cluster through a JAVA application, you can use the following URL:
jdbc:gbase://deployed-node-public-IP:5258/dbname
24 hours Technical support hotline: 400-013-9696
Email: info@gbase.cn
AWS infrastructure support
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