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Oracle NoSQL Database VS Greenplum Database

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

Oracle NoSQL Database logo Oracle NoSQL Database

Oracle NoSQL Database is a distributed, highly performant, highly available scalable key-value database.

Greenplum Database logo Greenplum Database

Greenplum Database is an open source parallel data warehousing platform.
  • Oracle NoSQL Database Landing page
    Landing page //
    2023-08-01
  • Greenplum Database Landing page
    Landing page //
    2023-07-29

Oracle NoSQL Database features and specs

  • Scalability
    Oracle NoSQL Database is designed to scale horizontally, allowing it to handle large volumes of data and high transaction rates efficiently by adding nodes to the cluster.
  • Flexibility
    It supports multiple data models (key-value, document, and table) which allows developers to choose the data model that best suits their application requirements.
  • Strong Consistency
    The database offers options for strong consistency to ensure reliable data retrieval across distributed systems, which is crucial for many enterprise applications.
  • Ease of Integration
    Oracle NoSQL Database integrates seamlessly with other Oracle products and services, ensuring a cohesive ecosystem for enterprises already using Oracle technologies.
  • Comprehensive Security
    It provides enterprise-grade security features, including authentication, encryption, and access control, which are critical for protecting sensitive data.

Possible disadvantages of Oracle NoSQL Database

  • Complexity
    The setup and management of Oracle NoSQL Database can be complex, requiring skilled administrators, especially when configuring large, distributed systems.
  • Cost
    Being a proprietary product, it might involve significant licensing costs, particularly for enterprises that need extensive support and advanced features.
  • Learning Curve
    For teams not familiar with Oracle technologies, there might be a steep learning curve to fully understand and effectively utilize all features of Oracle NoSQL Database.
  • Limited Open Source Community
    Unlike some other NoSQL databases, Oracle NoSQL does not have as large of an open-source community, which can limit access to community-driven support and third-party tools.
  • Potential Vendor Lock-in
    Adoption of Oracle NoSQL might create dependencies on Oracle's ecosystem, potentially making it challenging to switch to other vendors or integrate with non-Oracle technologies in the future.

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 NoSQL Database videos

Oracle NoSQL Database - Getting Started

Greenplum Database videos

No Greenplum Database videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Oracle NoSQL Database and Greenplum Database)
Databases
23 23%
77% 77
Big Data
24 24%
76% 76
Relational Databases
15 15%
85% 85
NoSQL Databases
100 100%
0% 0

User comments

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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.

Oracle NoSQL Database mentions (0)

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

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 / over 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 Amazonโ€™s cloud native database. - Source: dev.to / over 3 years ago
  • Whatโ€™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 / over 3 years ago
  • Inspecting joins in PostgreSQL
    PostgreSQL is a free and advanced database system with the capacity to handle a lot of data. Itโ€™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

What are some alternatives?

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

Oracle Exadata - See how the Oracle Database Exadata Cloud is engineered to be the highest performing and most available platform for running the Oracle Database.

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

Azure HDInsight - Azure HDInsight is a managed Apache Hadoop cloud service that lets you run Apache Spark, Apache Hive, Apache Kafka, Apache HBase, and more.

Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.

Snowflakepowe.red - Snowflake Computing is delivering a data warehouse for the cloud.

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