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  1. Stackups
  2. Application & Data
  3. Databases
  4. Orm
  5. Google Cloud Datastore vs Hibernate

Google Cloud Datastore vs Hibernate

OverviewComparisonAlternatives

Overview

Hibernate
Hibernate
Stacks1.8K
Followers1.2K
Votes34
GitHub Stars0
Forks0
Google Cloud Datastore
Google Cloud Datastore
Stacks290
Followers357
Votes12

Google Cloud Datastore vs Hibernate: What are the differences?

<Google Cloud Datastore vs. Hibernate Comparison>

1. **Data Model**: Google Cloud Datastore is a NoSQL database that uses a hierarchical key-value pair data model, while Hibernate is an ORM (Object-Relational Mapping) framework that maps Java objects to relational database tables.
2. **Scalability**: Google Cloud Datastore is a highly scalable database that can handle large volumes of data with ease due to its distributed architecture, whereas Hibernate relies on the underlying database system for scalability.
3. **Flexibility**: Google Cloud Datastore provides schema-less data storage, allowing for more flexibility in data modeling, while Hibernate requires a defined schema for mapping objects to database tables.
4. **Hosting Environment**: Google Cloud Datastore is a fully managed cloud service provided by Google, whereas Hibernate is a library that needs to be integrated into a Java application and requires the developer to manage the database.
5. **Consistency vs. Eventual Consistency**: Google Cloud Datastore offers eventual consistency, meaning that changes may not be immediately visible to all users, while Hibernate ensures strong consistency through transactions in a relational database.
6. **Query Language**: Google Cloud Datastore supports a SQL-like query language called GQL (Google Query Language), while Hibernate uses HQL (Hibernate Query Language) to interact with the database.

In Summary, Google Cloud Datastore and Hibernate differ in their data models, scalability, flexibility, hosting environments, consistency models, and query languages.

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Detailed Comparison

Hibernate
Hibernate
Google Cloud Datastore
Google Cloud Datastore

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

Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.

-
Schemaless access, with SQL-like querying;Managed database;Autoscale with your users;ACID transactions;Built-in redundancy;Local development tools
Statistics
GitHub Stars
0
GitHub Stars
-
GitHub Forks
0
GitHub Forks
-
Stacks
1.8K
Stacks
290
Followers
1.2K
Followers
357
Votes
34
Votes
12
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
  • 7
    High scalability
  • 2
    Serverless
  • 2
    Ability to query any property
  • 1
    Pay for what you use
Integrations
Java
Java
No integrations available

What are some alternatives to Hibernate, Google Cloud Datastore?

Amazon DynamoDB

Amazon DynamoDB

With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.

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.

Azure Cosmos DB

Azure Cosmos DB

Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.

Cloud Firestore

Cloud Firestore

Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.

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.

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.

Cloudant

Cloudant

Cloudant’s distributed database as a service (DBaaS) allows developers of fast-growing web and mobile apps to focus on building and improving their products, instead of worrying about scaling and managing databases on their own.

Google Cloud Bigtable

Google Cloud Bigtable

Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.

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.

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