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Oracle Database 12c VS Apache Hive

Compare Oracle Database 12c VS Apache Hive and see what are their differences

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Oracle Database 12c logo Oracle Database 12c

Simplify database management and automate the information lifecycle with maximum security.

Apache Hive logo Apache Hive

Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
  • Oracle Database 12c Landing page
    Landing page //
    2023-09-30
  • Apache Hive Landing page
    Landing page //
    2023-01-13

Oracle Database 12c features and specs

  • Multi-tenant Architecture
    Oracle Database 12c introduces a multi-tenant architecture that allows a single container database to hold many pluggable databases, which makes it easier to consolidate databases and manage them collectively.
  • In-Memory Processing
    This feature allows data to be stored in memory, significantly improving query performance and providing real-time analytics capabilities.
  • Advanced Security
    Enhanced security features, including data redaction, key management, and robust auditing, ensure compliance with regulatory requirements and protect sensitive data.
  • Automated Management
    Oracle Database 12c offers advanced automation capabilities for routine tasks such as backup, patching, and tuning, reducing administrative overhead and operational costs.
  • Scalability
    This version supports scalability and high availability features, including Real Application Clusters (RAC) and Data Guard, making it suitable for enterprise-level applications.

Possible disadvantages of Oracle Database 12c

  • Complexity
    Oracle Database 12c is complex to set up and manage, requiring specialized knowledge and skills, which can result in increased operational complexity.
  • Cost
    The licensing and maintenance costs for Oracle Database 12c can be prohibitively high, especially for small and mid-sized enterprises.
  • Resource Intensive
    The database system is resource-intensive, necessitating high-performing hardware and considerable memory and storage resources.
  • Compatibility Issues
    There may be compatibility issues with older versions of applications and databases that do not support or integrate well with Oracle Database 12c.
  • Learning Curve
    Due to its extensive feature set and complex architecture, there is a steep learning curve for new users and administrators, which may require comprehensive training and certification.

Apache Hive features and specs

  • Scalability
    Apache Hive is built on top of Hadoop, allowing it to efficiently handle large datasets by distributing the load across a cluster of machines.
  • SQL-like Interface
    Hive provides a familiar SQL-like querying language, HiveQL, which makes it easier for users with SQL knowledge to perform data analysis on large datasets without needing to learn a new syntax.
  • Integration with Hadoop Ecosystem
    Hive integrates seamlessly with other components of the Hadoop ecosystem such as HDFS for storage and MapReduce for processing, making it a versatile tool for big data processing.
  • Schema on Read
    Hive uses a schema-on-read model which allows it to work with flexible data schemas and handle unstructured or semi-structured data efficiently.
  • Extensibility
    Users can extend Hive's capabilities by writing custom UDFs (User Defined Functions), UDAFs (User Defined Aggregate Functions), and SerDes (Serializers/ Deserializers).

Possible disadvantages of Apache Hive

  • Latency in Query Processing
    Queries in Hive often take longer to execute compared to traditional databases, as they are converted to MapReduce jobs which can introduce significant latency.
  • Limited Real-time Processing
    Hive is designed for batch processing and is not suitable for real-time analytics due to its reliance on MapReduce, which is not optimized for low-latency operations.
  • Complex Configuration
    Setting up Hive and configuring it to work optimally within a Hadoop cluster can be complex and require a significant amount of effort and expertise.
  • Lack of Support for Transactions
    Hive does not natively support full ACID transactions, which can be a limitation for applications that require consistent transaction management across large datasets.
  • Dependency on Hadoop
    Hive's reliance on the Hadoop ecosystem means it inherits some of Hadoop's limitations, such as a steep learning curve and the need for substantial resources to manage a cluster.

Analysis of Oracle Database 12c

Overall verdict

  • Oracle Database 12c is considered a strong option for large enterprises and organizations requiring a high-performance, scalable database solution with advanced features and robust support. It is well-suited for environments that need improved resource management, high availability, and enhanced security.

Why this product is good

  • Oracle Database 12c is a highly robust and enterprise-grade database management system known for its scalability, performance, and comprehensive features. It offers improvements over previous versions, particularly with the introduction of a multi-tenant architecture, which simplifies consolidation and management of databases. It also provides advanced security features, strong data integrity, and wide support for various data management needs.

Recommended for

  • Large enterprises
  • Organizations managing multiple databases
  • Businesses requiring high availability and reliability
  • Projects with complex data management needs
  • Entities needing advanced security and compliance

Oracle Database 12c videos

+ Add

Koenig Solutions Training Review For Oracle Database 12c and Oracle EBS Training

More videos:

  • Review - Koenig Solutions Training Review For Oracle Database 12C: Backup and Recovery
  • Review - Using Virtual Private Database with Oracle Database 12c

Apache Hive videos

+ Add

Hive vs Impala - Comparing Apache Hive vs Apache Impala

Category Popularity

0-100% (relative to Oracle Database 12c and Apache Hive)

Oracle Database 12c

Apache Hive

Databases
69 69%
Databases
31% 31
Relational Databases
79 79%
Relational Databases
21% 21
Big Data
0 0%
Big Data
100% 100
Tool
100 100%
Tool
0% 0

User comments

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Social recommendations and mentions

Based on our record, Apache Hive seems to be more popular. It has been mentiond 8 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 Database 12c mentions (0)

We have not tracked any mentions of Oracle Database 12c yet. Tracking of Oracle Database 12c recommendations started around Mar 2021.

Apache Hive mentions (8)

View more

What are some alternatives?

When comparing Oracle Database 12c and Apache Hive, you can also consider the following products

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.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

MySQL - The world's most popular open source database

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

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

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

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