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. Relational Databases
  4. Postgresql As A Service
  5. Amazon RDS for PostgreSQL vs Hibernate

Amazon RDS for PostgreSQL vs Hibernate

OverviewComparisonAlternatives

Overview

Amazon RDS for PostgreSQL
Amazon RDS for PostgreSQL
Stacks814
Followers607
Votes40
Hibernate
Hibernate
Stacks1.8K
Followers1.2K
Votes34
GitHub Stars0
Forks0

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

# Introduction
This markdown provides the key differences between Amazon RDS for PostgreSQL and Hibernate.

1. **Database Management**: Amazon RDS for PostgreSQL is a managed database service provided by Amazon Web Services, while Hibernate is an object-relational mapping framework that simplifies database interactions in Java applications.
   
2. **Deployment and Scalability**: Amazon RDS for PostgreSQL offers easy deployment and scalability options through the AWS Management Console, allowing users to scale their database resources based on demand. In contrast, Hibernate requires manual configuration and scaling of database resources within the application code.
   
3. **Data Security**: Amazon RDS for PostgreSQL provides robust data security features such as encryption at rest and in-transit, automatic backups, and database snapshots for data protection. Hibernate, on the other hand, relies on the underlying database's security measures and does not offer built-in security features.
   
4. **Maintenance and Monitoring**: Amazon RDS for PostgreSQL automates routine database maintenance tasks and provides monitoring tools for performance optimization. Hibernate does not offer built-in maintenance and monitoring capabilities, requiring developers to implement custom solutions for these tasks.
   
5. **Cost**: Amazon RDS for PostgreSQL is a paid service with pricing based on usage and resource consumption, while Hibernate is an open-source framework available for free. The cost implications of using Amazon RDS for PostgreSQL should be considered when choosing between the two options.
   
6. **Compatibility and Portability**: Amazon RDS for PostgreSQL may have limitations in terms of compatibility with certain PostgreSQL features or versions, whereas Hibernate is designed to work with a variety of database systems, offering more flexibility in terms of portability across different environments.

In Summary, understanding the key differences between Amazon RDS for PostgreSQL and Hibernate is crucial for selecting the appropriate database solution for your application's requirements.

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

Amazon RDS for PostgreSQL
Amazon RDS for PostgreSQL
Hibernate
Hibernate

Amazon RDS manages complex and time-consuming administrative tasks such as PostgreSQL software installation and upgrades, storage management, replication for high availability and back-ups for disaster recovery. With just a few clicks in the AWS Management Console, you can deploy a PostgreSQL database with automatically configured database parameters for optimal performance. Amazon RDS for PostgreSQL database instances can be provisioned with either standard storage or Provisioned IOPS storage. Once provisioned, you can scale from 10GB to 3TB of storage and from 1,000 IOPS to 30,000 IOPS.

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

Monitoring and Metrics –Amazon RDS provides Amazon CloudWatch metrics for you DB Instance deployments at no additional charge.;DB Event Notifications –Amazon RDS provides Amazon SNS notifications via email or SMS for your DB Instance deployments.;Automatic Software Patching – Amazon RDS will make sure that the PostgreSQL software powering your deployment stays up-to-date with the latest patches.;Automated Backups – Turned on by default, the automated backup feature of Amazon RDS enables point-in-time recovery for your DB Instance.;DB Snapshots – DB Snapshots are user-initiated backups of your DB Instance.;Pre-configured Parameters – Amazon RDS for PostgreSQL deployments are pre-configured with a sensible set of parameters and settings appropriate for the DB Instance class you have selected.;PostGIS;Language Extensions :PL/Perl, PL/pgSQL, PL/Tcl;Full Text Search Dictionaries;Advanced Data Types : HStore, JSON;Core PostgreSQL engine features
-
Statistics
GitHub Stars
-
GitHub Stars
0
GitHub Forks
-
GitHub Forks
0
Stacks
814
Stacks
1.8K
Followers
607
Followers
1.2K
Votes
40
Votes
34
Pros & Cons
Pros
  • 25
    Easy setup, backup, monitoring
  • 13
    Geospatial support
  • 2
    Master-master replication using Multi-AZ instance
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
Integrations
No integrations available
Java
Java

What are some alternatives to Amazon RDS for PostgreSQL, Hibernate?

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.

Heroku Postgres

Heroku Postgres

Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database 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.

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.

Entity Framework Core

Entity Framework Core

It is a lightweight, extensible, open source and cross-platform version of the popular Entity Framework data access technology. It can serve as an object-relational mapper (O/RM), enabling .NET developers to work with a database using .NET objects, and eliminating the need for most of the data-access code they usually need to write.

ElephantSQL

ElephantSQL

ElephantSQL hosts PostgreSQL on Amazon EC2 in multiple regions and availability zones. The servers are continuously transferring the Write-Ahead-Log (the transaction log) to S3 for maximum reliability.

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