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  5. Objectify vs Quarkus

Objectify vs Quarkus

OverviewComparisonAlternatives

Overview

Objectify
Objectify
Stacks6
Followers12
Votes0
GitHub Stars729
Forks161
Quarkus
Quarkus
Stacks311
Followers382
Votes80
GitHub Stars15.2K
Forks3.0K

Objectify vs Quarkus: What are the differences?

Introduction

Objectify and Quarkus are both Java frameworks used for developing applications, but they have significant differences that set them apart. Below are the key differences between Objectify and Quarkus.

  1. Design Philosophy: Objectify is designed as a lightweight, high-performance Java data access API for the Google Cloud Platform, focusing on simplicity and ease of use for data access operations. On the other hand, Quarkus is a Kubernetes-native Java framework that aims to optimize Java specifically for containers and serverless environments, emphasizing fast boot times and low memory usage.

  2. Stack Support: Objectify is optimized for use with Google Cloud Datastore, providing a seamless integration for Java applications with this key service. In contrast, Quarkus offers a wide range of stack support, allowing developers to choose from various extensions for databases, messaging systems, security mechanisms, and more, making it suitable for a broader range of use cases.

  3. Build and Compilation: Objectify is a library that needs to be included in the project's dependencies and compiled along with the application code. Quarkus, however, introduces a build-time optimization process that transforms the application's Java code into a native binary, allowing for extremely fast startup times and reduced memory footprint compared to traditional Java applications.

  4. Community and Ecosystem: Objectify has a smaller and more focused community due to its specific use case for Google Cloud Datastore, limiting the available resources and community support. Quarkus, on the other hand, has a rapidly growing community and a vibrant ecosystem of extensions, making it easier to find solutions, plugins, and community contributions to enhance development experiences.

  5. Microservices Architecture: Quarkus is well-suited for building microservices architectures, providing features like reactive programming, Kubernetes support, and GraalVM compatibility out of the box. Objectify, on the other hand, is more focused on simplifying data access operations in traditional Java applications and may not offer the same level of support for building complex microservices architectures.

  6. Runtime Performance: While Objectify offers efficient data access operations and performance optimizations for Google Cloud Datastore, Quarkus goes a step further by optimizing the entire application runtime for containerized environments, resulting in faster startup times, lower memory consumption, and efficient resource utilization.

In Summary, Objectify is optimized for lightweight data access operations on Google Cloud Platform, while Quarkus is designed for building fast, efficient, and container-native Java applications with extensive stack support and build-time optimizations.

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Detailed Comparison

Objectify
Objectify
Quarkus
Quarkus

It is a Java data access API specifically designed for the Google Cloud Datastore. It occupies a "middle ground"; easier to use and more transparent than JDO or JPA, but significantly more convenient than the low-level API libraries that Google provides. Objectify is designed to make novices immediately productive yet also expose the full power of the Datastore.

It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.

Lets you persist, retrieve, delete, and query your own typed objects; Surfaces all native datastore features, including batch operations, queries, transactions, asynchronous operations, and partial indexes; Provides type-safe key and query classes using Java generics; Provides a human-friendly query interface
CONTAINER FIRST; UNIFIES IMPERATIVE AND REACTIVE; BEST OF BREED LIBRARIES AND STANDARDS
Statistics
GitHub Stars
729
GitHub Stars
15.2K
GitHub Forks
161
GitHub Forks
3.0K
Stacks
6
Stacks
311
Followers
12
Followers
382
Votes
0
Votes
80
Pros & Cons
No community feedback yet
Pros
  • 13
    Open source
  • 13
    Fast startup
  • 11
    Low memory footprint
  • 11
    Produce native code
  • 10
    Hot Reload
Cons
  • 2
    Boilerplate code when using Reflection
Integrations
Java
Java
Google Cloud Datastore
Google Cloud Datastore
Kubernetes
Kubernetes
Apache Camel
Apache Camel
Hibernate
Hibernate
Netty
Netty

What are some alternatives to Objectify, Quarkus?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Flyway

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

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