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  1. Stackups
  2. Utilities
  3. Caching
  4. Managed Memcache
  5. Amazon ElastiCache vs Hibernate

Amazon ElastiCache vs Hibernate

OverviewComparisonAlternatives

Overview

Amazon ElastiCache
Amazon ElastiCache
Stacks1.3K
Followers1.0K
Votes151
Hibernate
Hibernate
Stacks1.8K
Followers1.2K
Votes34
GitHub Stars0
Forks0

Amazon ElastiCache vs Hibernate: What are the differences?

# Introduction
When comparing Amazon ElastiCache and Hibernate, it's important to understand their key differences that set them apart in terms of caching and data management.

1. **Data Storage**: Amazon ElastiCache is a fully managed in-memory data store and cache service provided by AWS, whereas Hibernate is an Object-Relational Mapping (ORM) tool for Java applications that simplifies the interaction with databases.
   
2. **Scalability**: ElastiCache provides a highly scalable solution for caching data in the cloud, allowing you to easily scale up or down based on your needs. In contrast, Hibernate focuses on providing an easy way to map Java objects to database tables, but does not offer the same level of scalability for caching purposes.

3. **Caching Mechanism**: ElastiCache primarily focuses on caching data in-memory to improve application performance, while Hibernate focuses on mapping Java objects to database tables and does not include a built-in caching mechanism. 

4. **Support for AWS Services**: Amazon ElastiCache seamlessly integrates with other AWS services, making it a convenient choice for building applications on the AWS cloud platform. Hibernate, on the other hand, is not specific to any cloud provider and can be used in various environments.

5. **Cost Consideration**: ElastiCache is a managed service that incurs costs based on the usage and level of resources provisioned, while Hibernate is open-source and free to use, making it a cost-effective choice for Java developers.

6. **Automation and Maintenance**: With ElastiCache, AWS takes care of the infrastructure automation and maintenance tasks, ensuring high availability and reliability, whereas Hibernate requires the developers to manage the database interactions and performance optimizations manually.

In Summary, the key differences between Amazon ElastiCache and Hibernate lie in their approach to caching, scalability, data storage, integration with cloud services, cost considerations, and automation/maintenance tasks.

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Detailed Comparison

Amazon ElastiCache
Amazon ElastiCache
Hibernate
Hibernate

ElastiCache improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. ElastiCache supports Memcached and Redis.

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

Support for two engines: Memcached and Redis;Ease of management via the AWS Management Console. With a few clicks you can configure and launch instances for the engine you wish to use.;Compatibility with the specific engine protocol. This means most of the client libraries will work with the respective engines they were built for - no additional changes or tweaking required.;Detailed monitoring statistics for the engine nodes at no extra cost via Amazon CloudWatch;Pay only for the resources you consume based on node hours used
-
Statistics
GitHub Stars
-
GitHub Stars
0
GitHub Forks
-
GitHub Forks
0
Stacks
1.3K
Stacks
1.8K
Followers
1.0K
Followers
1.2K
Votes
151
Votes
34
Pros & Cons
Pros
  • 58
    Redis
  • 32
    High-performance
  • 26
    Backed by amazon
  • 21
    Memcached
  • 14
    Elastic
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 ElastiCache, 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.

MemCachier

MemCachier

MemCachier provides an easy and powerful managed caching solution for all your performance and scalability needs. It works with the ubiquitous memcache protocol so your favourite language and framework already supports it.

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.

Memcached Cloud

Memcached Cloud

Memcached Cloud is a fully-managed service for running your Memcached in a reliable and fail-safe manner. Your dataset is constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption. Memcached Cloud provides various data persistence options as well as remote backups for disaster recovery purposes.

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.

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