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  1. Stackups
  2. Application & Data
  3. Databases
  4. Mobile Database
  5. GreenDAO vs ObjectBox

GreenDAO vs ObjectBox

OverviewComparisonAlternatives

Overview

ObjectBox
ObjectBox
Stacks9
Followers20
Votes0
GreenDAO
GreenDAO
Stacks8
Followers27
Votes0
GitHub Stars12.6K
Forks2.9K

GreenDAO vs ObjectBox: What are the differences?

Introduction

GreenDAO and ObjectBox are two popular ORM (Object-Relational Mapping) libraries for Android development, each with its strengths and differences. Understanding the key differences between these two libraries can help developers choose the right one for their specific projects.

1. Performance:

GreenDAO, using a lightweight and efficient ORM design, is known for its fast performance and low memory consumption. ObjectBox, on the other hand, boasts even faster performance due to its unique approach of using an embedded native engine, which minimizes the translation between Java objects and database entries.

2. Data Structure:

GreenDAO relies on traditional SQLite databases for storing data, allowing for more flexibility in terms of query language and data manipulation. ObjectBox, however, utilizes a key-value store NoSQL database, leading to simpler and more efficient data storage and retrieval operations.

3. Code Generation:

GreenDAO requires developers to write Java classes with annotations to define the database schema and generate the necessary code. ObjectBox simplifies this process by automatically generating the code based on the Java objects used, reducing manual coding and potential errors.

4. Query Language:

GreenDAO uses SQL-like queries for data retrieval, making it familiar to developers with SQL experience but potentially more verbose. ObjectBox, on the other hand, offers a fluent query API that allows for more concise and readable queries, enhancing developer productivity.

5. Relationship Handling:

GreenDAO provides built-in support for defining relationships between entities in the database, allowing for complex data structures and efficient data retrieval. ObjectBox also supports entity relationships but simplifies the process by automatically managing relationships based on object references.

6. Community and Support:

GreenDAO, being an older library with a well-established community, offers a wealth of resources and support forums for developers. ObjectBox, being a newer library, is rapidly growing its community and support network, providing timely updates and responsive assistance to users.

In Summary, GreenDAO and ObjectBox differ in terms of performance, data structure, code generation, query language, relationship handling, and community support, making them suitable for various Android development scenarios.

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Detailed Comparison

ObjectBox
ObjectBox
GreenDAO
GreenDAO

It is for developers who look for performance and ease of use. We are committed to providing you with the easiest APIs for you to keep your code short and maintainable. No SQL under the hood-Simply faster. Unlike other databases, it has been built from the ground up using key-value storage instead of column storage. The resulting performance is 10x faster than the leading alternative, we welcome you to try it yourself. It is fast regardless of the amount of data or operating system you are using.

It is an open source Android ORM making development for SQLite databases fun again. It relieves developers from dealing with low-level database requirements while saving development time.

10x faster than any alternative; Reduces cloud costs up to 60%; Supports Linux, Windows, Mac/iOS, Android, Raspbian, etc. Embedded or Containerized; Develop applications that work on- and offline, independently from a constant Internet connection, providing an “always-on”-feeling; Accelerate time-to-market, save development and lifecycle costs, save precious developer time for tasks that bring value
Object relation mapping (ORM); Offers an object oriented interface to data stored in the relational database SQLite; Performance. Of all ORMs we know, its the fastest; Encryption support; Slim library; Active entities; Protocol buffers support; Code generation; Open Source
Statistics
GitHub Stars
-
GitHub Stars
12.6K
GitHub Forks
-
GitHub Forks
2.9K
Stacks
9
Stacks
8
Followers
20
Followers
27
Votes
0
Votes
0
Integrations
Linux
Linux
Android OS
Android OS
macOS
macOS
iOS
iOS
Windows
Windows
Raspbian
Raspbian
Redux Persist
Redux Persist
Amazon DynamoDB
Amazon DynamoDB
Android Studio
Android Studio
SQLite
SQLite
SQLAlchemy
SQLAlchemy

What are some alternatives to ObjectBox, GreenDAO?

MongoDB

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.

MySQL

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

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.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

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.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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