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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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Learn MorePros of Google Cloud Datastore
Pros of Hibernate
Pros of Google Cloud Datastore
- High scalability7
- Serverless2
- Ability to query any property2
- Pay for what you use1
Pros of Hibernate
- Easy ORM22
- Easy transaction definition8
- Is integrated with spring jpa3
- Open Source1
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Cons of Google Cloud Datastore
Cons of Hibernate
Cons of Google Cloud Datastore
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Cons of Hibernate
- Can't control proxy associations when entity graph used3
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What is Google Cloud Datastore?
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.
What is Hibernate?
Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.
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What companies use Google Cloud Datastore?
What companies use Hibernate?
What companies use Google Cloud Datastore?
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What are some alternatives to Google Cloud Datastore and Hibernate?
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.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.