VMware Greenplum

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Data Analytics Platform for Large Structured Data or Unstructured Data

VMware Greenplum is a massively parallel processing data analytics platform for enterprise analytics based on PostgreSQL. It can handle various data analysis workloads by supporting the processing of transaction requests and the collection of streaming data. To ensure the proper management of single instances or critical data, features such as high availability capability, read/replication, backup/restoration, patch, parameter management, auditing, and monitoring were added to Samsung Cloud Platform, thereby automating DB lifecycle management.

Overview

  • Massively Parallel Processing

    VMware Greenplum uses an architecture for data distribution and parallel processing, allowing the analysis of petabyte-scale data within a single cluster. This in turn helps perform linear scalability whereby data processing capacity and processing power increase during node addition. VMware Greemplum also supports big data modeling analysis, which enhances query performance by reducing data scanning time through data serialization.

  • Convenient DB Management

    VMware Greenplum(DBaaS) uses a web-based console to automate DB managers’ tasks, allowing easy access for anyone to be able to create and manage databases. With Samsung Cloud Platform taking care of complicated database management, users can focus on application development and service operation.

  • High Reliability and HA Configuration

    Building on its extensive experience in DBMS management, Samsung SDS offers an optimal DB management environment that keeps customer data secure. In addition, equipped with a reliable, high-performance infrastructure, master node is redundant and data replicas between several segment(data) nodes are stored automatically and redundant, guaranteeing high availability.

  • Robust Security

    VPC(Virtual Private Cloud)-based network access architecture enables easier separation of databases and Security Group allows secure access while automated vulnerability diagnosis and analysis preemptively responding to security threats.

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Service Architecture

User →RDB Provisioning(Create VM →Assign Storage & N/W→Greenplum Install)→System configuration→VPC VMware Greenplum

    VMware Greenplum
  • Master Node(VM:DB,Linux)- Segment Node(VM1:DB,Linux)(VM2:DB,Linux)(VM3:DB,Linux)↔Block Storage
  • Standby Node*(VM:DB,Linux)- Segment Node(VM1:DB,Linux)(VM2:DB,Linux)(VM3:DB,Linux)↔Block Storage

Key Features

  • Fast and secure DB creation

    - Auto-provisioning : Automatically install standard DB based on VMs of various spec
    - Provide automatic configuration of standby node and high-availability feature
    - Cluster configuration : Configure parallel processing structure for data nodes

  • Optimal for high-performance, high-volume data

    - Data distribution and parallel processing architecture offer linear scalability for analysis throughput as nodes are added
    - Analyze various external data without ETL(Extract, Transform, Load)
    - In-database machine learning feature that enables machine learning on the entire data set

  • Easy DB management

    - Monitor resource and DB status through cloud monitoring
    - Support scale-out and data rebalancing on data nodes
    - User parameter configuration : Enhance DB performance and configure security parameters
    ※ DB management features to be provided in 2024

Pricing

    • Billing
    • Provided in VM package, composed of VM & DB costs
      · Without contract : Hourly charges based on the metering information of server (DB) status being ‘on’
      · With contract : Fixed monthly charges according to contract terms
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