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Oracle Database 12c VS Spring Batch

Compare Oracle Database 12c VS Spring Batch 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.

Spring Batch logo Spring Batch

Level up your Java code and explore what Spring can do for you.
  • Oracle Database 12c Landing page
    Landing page //
    2023-09-30
  • Spring Batch Landing page
    Landing page //
    2023-08-26

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.

Spring Batch features and specs

  • Robust Framework
    Spring Batch is a mature and robust framework that has been widely adopted in the industry for batch processing, offering a comprehensive set of features and a high level of reliability.
  • Integration with Spring
    Tightly integrated with the Spring ecosystem, making it easy to leverage other Spring modules and features, such as dependency injection, for batch applications.
  • Scalability
    Supports both parallel and distributed processing, allowing for scalable batch processing solutions that can handle large volumes of data efficiently.
  • Transaction Management
    Provides robust transaction management, ensuring data consistency and integrity during batch processing.
  • Comprehensive Error Handling
    Offers detailed error handling and retry mechanisms, which help in managing exceptions and ensuring that batch jobs can recover gracefully from failures.
  • Strong Community Support
    Backed by a strong community and excellent documentation, which can help developers overcome challenges and optimize their batch processing solutions.

Possible disadvantages of Spring Batch

  • Steep Learning Curve
    The framework's extensive features and configurations can result in a steep learning curve for new users, especially those unfamiliar with the Spring ecosystem.
  • Complex Configuration
    Configuring batch jobs can be complex and may require significant setup, particularly for users unfamiliar with XML or Spring configuration.
  • Verbose Code
    Spring Batch can lead to verbose code, as developers need to define many components and configurations, which can make maintenance more challenging.
  • Overhead for Small Jobs
    For simple batch tasks, using Spring Batch may introduce unnecessary complexity and overhead, as the framework is designed for more complex and large-scale batch processing.

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

Spring Batch videos

+ Add

Spring Batch Scheduling

More videos:

  • Review - ETE 2012 - Josh Long - Behind the Scenes of Spring Batch

Category Popularity

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

Oracle Database 12c

Spring Batch

Databases
89 89%
Databases
11% 11
Relational Databases
93 93%
Relational Databases
7% 7
Big Data
0 0%
Big Data
100% 100
Tool
100 100%
Tool
0% 0

User comments

Share your experience with using Oracle Database 12c and Spring Batch. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Spring Batch seems to be more popular. It has been mentiond 2 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.

Spring Batch mentions (2)

What are some alternatives?

When comparing Oracle Database 12c and Spring Batch, 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

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 Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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