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Hibernate vs SQL+.NET: What are the differences?
Developers describe Hibernate as "Idiomatic persistence for Java and relational databases". Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper. On the other hand, SQL+.NET is detailed as "SQL first ORM that compliments the skills of SQL Professionals". It is an enterprise grade ORM designed to compliment the skills of SQL professionals. More than a typical ORM, it's a complete system for building high-performance, robust data services.
Hibernate and SQL+.NET can be primarily classified as "Object Relational Mapper (ORM)" tools.
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Learn MorePros of Hibernate
Pros of SQL+.NET
Pros of Hibernate
- Easy ORM22
- Easy transaction definition8
- Is integrated with spring jpa3
- Open Source1
Pros of SQL+.NET
- Perfect Companion to Blazor1
- Minimal Setup1
- Ease of use1
- Performance1
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Cons of Hibernate
Cons of SQL+.NET
Cons of Hibernate
- Can't control proxy associations when entity graph used3
Cons of SQL+.NET
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What is Hibernate?
Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.
What is SQL+.NET?
It is an enterprise grade ORM designed to compliment the skills of SQL professionals. More than a typical ORM, it's a complete system for building high-performance, robust data services.
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What companies use Hibernate?
What companies use SQL+.NET?
What companies use Hibernate?
What companies use SQL+.NET?
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What tools integrate with Hibernate?
What tools integrate with SQL+.NET?
What tools integrate with Hibernate?
What tools integrate with SQL+.NET?
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What are some alternatives to Hibernate and SQL+.NET?
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.
Spring
A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
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.