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Greenplum Database VS Oracle DBaaS

Compare Greenplum Database VS Oracle DBaaS and see what are their differences

Greenplum Database logo Greenplum Database

Greenplum Database is an open source parallel data warehousing platform.

Oracle DBaaS logo Oracle DBaaS

See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.
  • Greenplum Database Landing page
    Landing page //
    2023-07-29
  • Oracle DBaaS Landing page
    Landing page //
    2023-10-19

Greenplum Database features and specs

  • Scalability
    Greenplum Database is designed for massive parallel processing, allowing the system to scale horizontally by adding more nodes to handle large amounts of data efficiently.
  • Open Source
    As an open-source database, Greenplum provides a cost-effective solution for businesses looking to leverage powerful analytics without proprietary software limitations.
  • Advanced Analytics
    Greenplum supports a wide range of data science and machine learning capabilities, making it suitable for complex analytical processing and large-scale data mining.
  • Integration with Hadoop
    Greenplum offers integration capabilities with Hadoop, allowing users to effectively manage and analyze data within hybrid environments.
  • Enterprise Features
    It comes with robust enterprise features including support for ACID compliance, high availability, and backup and recovery capabilities, catering to demanding business needs.

Possible disadvantages of Greenplum Database

  • Complex Setup and Maintenance
    The initial setup and ongoing maintenance can be complex and may require specialized expertise, which could be a barrier for companies with limited technical resources.
  • Resource Intensive
    Greenplum's performance heavily relies on proper resource allocation, and it can be resource-intensive, requiring significant computational power and storage.
  • Requires Expertise
    Effective use of Greenplum often requires a skilled team to manage and optimize the database, which might not be ideal for small teams or organizations.
  • Limited Cloud-Native Features
    Compared to some modern cloud-native databases, Greenplum may lack certain features tailored to cloud environments, which can limit its integration in purely cloud-based setups.
  • Upgrade Processes
    The process for upgrading Greenplum can be complex and time-consuming, potentially causing disruptions if not carefully managed.

Oracle DBaaS features and specs

  • Scalability
    Oracle DBaaS offers robust scalability options, allowing you to scale resources up or down based on demand, ensuring you only pay for what you use.
  • High Availability
    Built-in redundancy and data replication features ensure high availability and reliability, minimizing downtime and disaster recovery times.
  • Security
    Advanced security features such as data encryption, user access controls, and regular security patches help protect sensitive information.
  • Performance
    Optimized for high performance with Oracle’s proprietary technologies, enabling fast query processing and efficient handling of large datasets.
  • Integrated Suite
    Seamless integration with other Oracle Cloud services and applications provides a cohesive ecosystem for various business needs.
  • Automated Management
    Automated database maintenance tasks such as backups, updates, and patching reduce administrative overhead and human error.
  • Global Reach
    Multiple data center locations worldwide ensure low latency and compliance with local data regulations.

Possible disadvantages of Oracle DBaaS

  • Cost
    Oracle DBaaS can be relatively expensive compared to some other DBaaS offerings, making it less suitable for small businesses or startups with limited budgets.
  • Complexity
    The rich set of features and configuration options can be overwhelming for users who are not familiar with Oracle databases, potentially requiring a steep learning curve.
  • Vendor Lock-in
    Users may find it challenging to migrate to another DBaaS provider due to the proprietary nature of Oracle’s technologies and potential data portability issues.
  • Customization Limitations
    Some limitations on customization and configuration might exist compared to a fully self-managed on-premises Oracle database.
  • Support
    While Oracle offers comprehensive support, some users report that enterprise-level support can be slow or less responsive compared to expectations.
  • Resource Management
    Managing resources effectively to avoid unnecessary costs can be challenging, requiring careful planning and monitoring.

Greenplum Database videos

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Oracle DBaaS videos

Oracle DBaaS - Database Cloud Service - English

Category Popularity

0-100% (relative to Greenplum Database and Oracle DBaaS)
Databases
15 15%
85% 85
Big Data
100 100%
0% 0
Relational Databases
13 13%
87% 87
Tool
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Greenplum Database and Oracle DBaaS

Greenplum Database Reviews

We have no reviews of Greenplum Database yet.
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Oracle DBaaS Reviews

10 Best Database Management Software Of 2022 [+ Examples]
Applications Manager offers out-of-the-box health and performance monitoring for 20 popular databases including RDBMS, NoSQL, in-memory, distributed, and big data stores. It supports both commercial databases such as Oracle, Microsoft SQL, IBM DB2, and MongoDB as well as open source ones like MySQL and PostgreSQL.
Source: theqalead.com

Social recommendations and mentions

Based on our record, Greenplum Database seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Greenplum Database mentions (4)

  • Ask HN: It's 2023, how do you choose between MySQL and Postgres?
    Friends don't let their friends choose Mysql :) A super long time ago (decades) when I was using Oracle regularly I had to make a decision on which way to go. Although Mysql then had the mindshare I thought that Postgres was more similar to Oracle, more standards compliant, and more of a real enterprise type of DB. The rumor was also that Postgres was heavier than MySQL. Too many horror stories of lost data... - Source: Hacker News / about 2 years ago
  • Amazon Aurora's Read/Write Capability Enhancement with Apache ShardingSphere-Proxy
    A database solution architect at AWS, with over 10 years of experience in the database industry. Lili has been involved in the R&D of the Hadoop/Hive NoSQL database, enterprise-level database DB2, distributed data warehouse Greenplum/Apache HAWQ and Amazon’s cloud native database. - Source: dev.to / about 3 years ago
  • What’s the Database Plus concept and what challenges can it solve?
    Today, it is normal for enterprises to leverage diversified databases. In my market of expertise, China, in the Internet industry, MySQL together with data sharding middleware is the go to architecture, with GreenPlum, HBase, Elasticsearch, Clickhouse and other big data ecosystems being auxiliary computing engine for analytical data. At the same time, some legacy systems (such as SQLServer legacy from .NET... - Source: dev.to / about 3 years ago
  • Inspecting joins in PostgreSQL
    PostgreSQL is a free and advanced database system with the capacity to handle a lot of data. It’s available for very large data in several forms like Greenplum and Redshift on Amazon. It is open source and is managed by an organized and very principled community. - Source: dev.to / over 3 years ago

Oracle DBaaS mentions (0)

We have not tracked any mentions of Oracle DBaaS yet. Tracking of Oracle DBaaS recommendations started around Mar 2021.

What are some alternatives?

When comparing Greenplum Database and Oracle DBaaS, you can also consider the following products

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Apache Hive - Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

MySQL - The world's most popular open source database

Microsoft Azure Data Lake - Azure Data Lake is a real-time data processing and analytics solution that works across platforms and languages.

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.