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  1. Stackups
  2. Application & Data
  3. Databases
  4. Orm
  5. Azure Storage vs Hibernate

Azure Storage vs Hibernate

OverviewComparisonAlternatives

Overview

Hibernate
Hibernate
Stacks1.8K
Followers1.2K
Votes34
GitHub Stars0
Forks0
Azure Storage
Azure Storage
Stacks1.3K
Followers787
Votes52

Azure Storage vs Hibernate: What are the differences?

Introduction

In this Markdown document, we will discuss the key differences between Azure Storage and Hibernate. Azure Storage is a cloud-based storage service provided by Microsoft Azure, while Hibernate is an Object-Relational Mapping (ORM) tool used for mapping objects to relational databases in Java applications. Now let's move on to the differences between the two.

  1. Data Storage Azure Storage is primarily focused on storing different types of data in the cloud, including structured, unstructured, and semi-structured data. It provides various storage options such as blobs, tables, queues, and files to store different data types efficiently and reliably. On the other hand, Hibernate is not a data storage solution but a framework used to map Java objects with relational databases. Hibernate provides an abstraction layer between the Java application and the database to handle object-relational mapping.

  2. Usage Azure Storage is mainly used in cloud-based scenarios where applications need to store and retrieve data from the cloud. It is widely used in cloud-native applications, web applications, and mobile applications for storing and managing large volumes of data. Hibernate, on the other hand, is used in Java applications to simplify database access and management. It provides an easy way to perform various database operations using Java code without writing raw SQL queries.

  3. Integration with other Services and Technologies Azure Storage integrates well with other Azure services like Azure Functions, Azure Data Factory, and Azure Logic Apps, which makes it easier to build end-to-end solutions. It also provides SDKs for various programming languages to easily integrate with different platforms. In contrast, Hibernate integrates with different database management systems like Oracle, MySQL, PostgreSQL, etc. It provides support for various Java Enterprise Edition (Java EE) technologies like Java Persistence API (JPA) and Java Transaction API (JTA).

  4. Scalability and Availability Azure Storage is highly scalable and can handle large volumes of data. It provides features like automatic load balancing and replication to ensure high availability and durability of data. It also offers different tiers for storage, allowing users to choose the appropriate level of performance and cost. Hibernate, on the other hand, does not provide built-in scalability and availability features. It mainly relies on the underlying database for these capabilities.

  5. Development and Maintenance Azure Storage is a cloud service provided by Microsoft, which means it is fully managed and maintained by Microsoft. Users only need to focus on using the service without worrying about infrastructure or maintenance. Hibernate, on the other hand, is an open-source framework that requires developers to manage the setup, configuration, and maintenance of databases and Hibernate itself. Developers need to keep up with the latest updates and bug fixes released by the Hibernate community.

  6. Supported Languages Azure Storage provides SDKs and client libraries for multiple programming languages including .NET, Java, Python, Node.js, and more. This allows developers to use their preferred language to interact with Azure Storage. Hibernate, on the other hand, is mainly used in Java applications as it is a Java-based ORM framework. It provides excellent support and integration with Java programming language and Java-based frameworks.

In Summary, Azure Storage is a cloud-based storage service used to store different types of data in the cloud with high scalability and availability, while Hibernate is an ORM tool used to map Java objects with relational databases in Java applications. Azure Storage provides integration with other Azure services and offers fully managed infrastructure, while Hibernate provides an abstraction layer for database operations in Java applications.

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Detailed Comparison

Hibernate
Hibernate
Azure Storage
Azure Storage

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

Azure Storage provides the flexibility to store and retrieve large amounts of unstructured data, such as documents and media files with Azure Blobs; structured nosql based data with Azure Tables; reliable messages with Azure Queues, and use SMB based Azure Files for migrating on-premises applications to the cloud.

-
Blobs, Tables, Queues, and Files;Highly scalable;Durable & highly available;Premium Storage;Designed for developers
Statistics
GitHub Stars
0
GitHub Stars
-
GitHub Forks
0
GitHub Forks
-
Stacks
1.8K
Stacks
1.3K
Followers
1.2K
Followers
787
Votes
34
Votes
52
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
  • 24
    All-in-one storage solution
  • 15
    Pay only for data used regardless of disk size
  • 9
    Shared drive mapping
  • 2
    Cost-effective
  • 2
    Cheapest hot and cloud storage
Cons
  • 2
    Direct support is not provided by Azure storage
Integrations
Java
Java
Microsoft Azure
Microsoft Azure

What are some alternatives to Hibernate, Azure Storage?

Amazon S3

Amazon S3

Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web

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.

Amazon EBS

Amazon EBS

Amazon EBS volumes are network-attached, and persist independently from the life of an instance. Amazon EBS provides highly available, highly reliable, predictable storage volumes that can be attached to a running Amazon EC2 instance and exposed as a device within the instance. Amazon EBS is particularly suited for applications that require a database, file system, or access to raw block level storage.

Google Cloud Storage

Google Cloud Storage

Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure.

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.

Minio

Minio

Minio is an object storage server compatible with Amazon S3 and licensed under Apache 2.0 License

OpenEBS

OpenEBS

OpenEBS allows you to treat your persistent workload containers, such as DBs on containers, just like other containers. OpenEBS itself is deployed as just another container on your host.

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.

Rackspace Cloud Files

Rackspace Cloud Files

Cloud Files, powered by OpenStack®, provides an easy to use online storage for files and media which can be delivered globally at blazing speeds over Akamai's content delivery network (CDN).

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.

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