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MyBATIS VS Apache Hive

Compare MyBATIS VS Apache Hive and see what are their differences

Hive
Seamless project management and collaboration for your team. featured
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MyBATIS logo MyBATIS

MyBatis is a top-rated SQL-based data mapping solution used by Programmers, Software Engineers, and Database Architects for developing object-oriented software applications.

Apache Hive logo Apache Hive

Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
  • MyBATIS Landing page
    Landing page //
    2023-04-18
  • Apache Hive Landing page
    Landing page //
    2023-01-13

MyBATIS features and specs

  • Simplicity
    MyBatis is easier to use compared to other ORM tools because it provides a simple and direct approach to database interaction using XML or annotations, making it accessible for developers familiar with SQL.
  • Flexibility in SQL
    It allows for complete control over SQL queries, enabling developers to write complex queries and use full SQL syntax without constraints, unlike automated ORM solutions.
  • Performance
    Since developers have direct control over SQL statements, the performance can be optimized for specific use cases, potentially reducing the overhead that automated ORM solutions might introduce.
  • Mapping
    Offers robust and customizable mapping capabilities between database tables and Java classes, helping in clearly defining how data should be transformed between the system and the data layer.
  • Lazy Loading
    Supports lazy loading of related objects, which can improve performance by delaying the fetching of data until it is specifically needed.

Possible disadvantages of MyBATIS

  • Manual SQL Management
    The need to manually write and maintain SQL can be cumbersome and error-prone, especially for complex applications with large numbers of queries.
  • Lack of Automated Associations
    MyBatis does not inherently manage relationships between entities like some other ORM tools, which requires developers to handle association mappings themselves.
  • Limited Abstraction
    Compared to full ORM frameworks, MyBatis offers less abstraction over the database layer, which means developers must handle more of the database logic manually.
  • Learning Curve for XML
    While not steep, there is a learning curve involved in configuring MyBatis using XML for those who are more accustomed to purely annotation-driven configuration or other ORM tools.
  • Reduced Portability
    Because SQL is database-specific, MyBatis applications might become less portable across different database platforms when relying extensively on custom SQL.

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.

MyBATIS videos

+ Add

Screencast #18: Introduction to mybatis

More videos:

  • Demo - MyBatis Intro & Demo

Apache Hive videos

+ Add

Hive vs Impala - Comparing Apache Hive vs Apache Impala

Category Popularity

0-100% (relative to MyBATIS and Apache Hive)

MyBATIS

Apache Hive

Web Frameworks
100 100%
Web Frameworks
0% 0
Databases
0 0%
Databases
100% 100
Development
100 100%
Development
0% 0
Big Data
0 0%
Big Data
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 MyBATIS and Apache Hive

MyBATIS Reviews

17 Popular Java Frameworks for 2023: Pros, cons, and more
MyBatis is somewhat similar to the Hibernate framework, as both facilitate communication between the application layer and the database. However, MyBatis doesn’t map Java objects to database tables like Hibernate does — instead, it links Java methods to SQL statements. As a result, SQL is visible when you’re working with the MyBatis framework, and you still have control over...
Source: raygun.com

Apache Hive Reviews

We have no reviews of Apache Hive yet.
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Social recommendations and mentions

Based on our record, Apache Hive should be more popular than MyBATIS. 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.

MyBATIS mentions (2)

  • How do you guys go about the persistence layer?
    Other tools you can look at for the data layer are MyBatis (https://mybatis.org/mybatis-3/) and JOOQ (https://www.jooq.org) they put you a little closer to the database than JPA/Hibernate. Source: about 3 years ago
  • Do most established companies use ORMs?
    While its not as well known, have you ever glanced at mybatis? https://mybatis.org/mybatis-3/. Source: over 3 years ago

Apache Hive mentions (8)

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What are some alternatives?

When comparing MyBATIS and Apache Hive, you can also consider the following products

Hibernate - Hibernate an open source Java persistence framework project.

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

Entity Framework - See Comparison of Entity Framework vs NHibernate.

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

Sequelize - Provides access to a MySQL database by mapping database entries to objects and vice-versa.

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

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