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Oracle Database 12c VS PySpark

Compare Oracle Database 12c VS PySpark 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.

PySpark logo PySpark

PySpark Tutorial - Apache Spark is written in Scala programming language. To support Python with Spark, Apache Spark community released a tool, PySpark. Using PySpark, you can wor
  • Oracle Database 12c Landing page
    Landing page //
    2023-09-30
  • PySpark Landing page
    Landing page //
    2023-08-27

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.

PySpark features and specs

No features have been listed yet.

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

PySpark videos

+ Add

Data Wrangling with PySpark for Data Scientists Who Know Pandas - Andrew Ray

More videos:

  • Tutorial - Pyspark Tutorial | Introduction to Apache Spark with Python | PySpark Training | Edureka

Category Popularity

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

Oracle Database 12c

PySpark

Databases
95 95%
Databases
5% 5
Relational Databases
100 100%
Relational Databases
0% 0
Project Management
0 0%
Project Management
100% 100
Tool
100 100%
Tool
0% 0

User comments

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What are some alternatives?

When comparing Oracle Database 12c and PySpark, 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.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

MySQL - The world's most popular open source database

NumPy - NumPy is the fundamental package for scientific computing with Python

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

Dask - Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love

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