StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Databases
  4. Orm
  5. Amazon RDS for Aurora vs Hibernate

Amazon RDS for Aurora vs Hibernate

OverviewComparisonAlternatives

Overview

Hibernate
Hibernate
Stacks1.8K
Followers1.2K
Votes34
GitHub Stars0
Forks0
Amazon Aurora
Amazon Aurora
Stacks804
Followers744
Votes55

Amazon RDS for Aurora vs Hibernate: What are the differences?

Introduction:

In this analysis, we will explore the key differences between Amazon RDS for Aurora and Hibernate. Both technologies are commonly used in website development, but they have distinct features and functionalities. Let's delve into the specifics.

  1. Scalability and High Availability: Amazon RDS for Aurora is designed to seamlessly scale and handle high amounts of traffic and data. It automatically replicates data across multiple Availability Zones for increased availability and durability. On the other hand, Hibernate is an object-relational mapping (ORM) framework that focuses on simplifying database interactions, but it does not inherently provide scalability or high availability features without additional configurations.

  2. Managed Service vs. Java Framework: Amazon RDS for Aurora is a fully managed service provided by Amazon Web Services (AWS), which means that AWS takes care of all the underlying infrastructure and maintenance tasks. In contrast, Hibernate is a Java framework that needs to be integrated into the application code, requiring developers to manage the database connections, transactions, and other aspects themselves.

  3. Performance Enhancement: Amazon RDS for Aurora employs a distributed and fault-tolerant architecture to deliver high performance. It utilizes a purpose-built storage engine and optimizes I/O operations for better throughput and faster query execution. Hibernate, being an ORM framework, can provide performance benefits by optimizing database queries and reducing the need for manual SQL coding. However, it does not have the same level of performance optimization as Amazon RDS for Aurora.

  4. Database Engine Compatibility: Amazon RDS for Aurora is compatible with both MySQL and PostgreSQL, providing a familiar interface and allowing easy migration from these databases. Hibernate, on the other hand, is database agnostic and can work with multiple database management systems, including MySQL, Oracle, and Microsoft SQL Server, among others.

  5. Persistent Connections: Amazon RDS for Aurora supports persistent connections, which maintain a long-lived connection between the application and the database server. These connections can improve performance by reducing the overhead of establishing new connections for each database operation. Hibernate, however, does not inherently support persistent connections and requires additional configurations to implement them.

  6. Data Backup and Recovery: Amazon RDS for Aurora offers automated backup and recovery features, including point-in-time recovery and continuous backups. These features ensure data durability and provide easy restoration options in case of data loss. Hibernate, being a Java framework, does not provide built-in data backup and recovery capabilities. It relies on other database management systems or additional tools to handle these tasks.

In summary, Amazon RDS for Aurora is a managed service with scalability, high availability, and performance optimization features, while Hibernate is a Java framework focused on simplifying database interactions. Their key differences lie in their scalability, management approach, performance optimization, database compatibility, connection persistence, and data backup and recovery capabilities.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Hibernate
Hibernate
Amazon Aurora
Amazon Aurora

Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.

-
High Throughput with Low Jitter;Push-button Compute Scaling;Storage Auto-scaling;Amazon Aurora Replicas;Instance Monitoring and Repair;Fault-tolerant and Self-healing Storage;Automatic, Continuous, Incremental Backups and Point-in-time Restore;Database Snapshots;Resource-level Permissions;Easy Migration;Monitoring and Metrics
Statistics
GitHub Stars
0
GitHub Stars
-
GitHub Forks
0
GitHub Forks
-
Stacks
1.8K
Stacks
804
Followers
1.2K
Followers
744
Votes
34
Votes
55
Pros & Cons
Pros
  • 22
    Easy ORM
  • 8
    Easy transaction definition
  • 3
    Is integrated with spring jpa
  • 1
    Open Source
Cons
  • 3
    Can't control proxy associations when entity graph used
Pros
  • 14
    MySQL compatibility
  • 12
    Better performance
  • 10
    Easy read scalability
  • 9
    Speed
  • 7
    Low latency read replica
Cons
  • 2
    Vendor locking
  • 1
    Rigid schema
Integrations
Java
Java
PostgreSQL
PostgreSQL
MySQL
MySQL

What are some alternatives to Hibernate, Amazon Aurora?

Amazon RDS

Amazon RDS

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

Sequelize

Sequelize

Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.

Prisma

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

Google Cloud SQL

Google Cloud SQL

Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

Doctrine 2

Doctrine 2

Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.

ClearDB

ClearDB

ClearDB uses a combination of advanced replication techniques, advanced cluster technology, and layered web services to provide you with a MySQL database that is "smarter" than usual.

MikroORM

MikroORM

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases.

Entity Framework

Entity Framework

It is an object-relational mapper that enables .NET developers to work with relational data using domain-specific objects. It eliminates the need for most of the data-access code that developers usually need to write.

peewee

peewee

A small, expressive orm, written in python (2.6+, 3.2+), with built-in support for sqlite, mysql and postgresql and special extensions like hstore.

MyBatis

MyBatis

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase