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  1. Stackups
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  5. ObjectRocket vs Spring Data

ObjectRocket vs Spring Data

OverviewComparisonAlternatives

Overview

ObjectRocket
ObjectRocket
Stacks5
Followers15
Votes16
Spring Data
Spring Data
Stacks883
Followers408
Votes0
GitHub Stars95
Forks84

Spring Data vs ObjectRocket: What are the differences?

Spring Data: Provides a consistent approach to data access – relational, non-relational, map-reduce, and beyond. It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database; ObjectRocket: An easy to use, fully hosted and managed database platform. Fast, scalable, and reliable managed Mongo DB, Redis, & Elasticsearch. It is an easy to use DBaaS (database as a service) platform.

Spring Data and ObjectRocket can be categorized as "Database" tools.

Some of the features offered by Spring Data are:

  • Powerful repository
  • Custom object-mapping abstractions
  • Dynamic query derivation

On the other hand, ObjectRocket provides the following key features:

  • Fast
  • Scalable
  • Reliable managed Mongo DB, Redis, & Elasticsearch

Spring Data is an open source tool with 61 GitHub stars and 64 GitHub forks. Here's a link to Spring Data's open source repository on GitHub.

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Detailed Comparison

ObjectRocket
ObjectRocket
Spring Data
Spring Data

Fast, scalable, and reliably-managed Mongo DB, Redis, Elasticsearch, PostgreSQL, CockroachDB and TimescaleDB. An easy to use DBaaS (database as a service) platform on private or public cloud. Complete DB Management & Administration.

It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.

Fast; Scalable; Secure; Reliable managed Mongo DB, Redis, & Elasticsearch; Affordable; Easy migrations;
Powerful repository; Custom object-mapping abstractions; Dynamic query derivation
Statistics
GitHub Stars
-
GitHub Stars
95
GitHub Forks
-
GitHub Forks
84
Stacks
5
Stacks
883
Followers
15
Followers
408
Votes
16
Votes
0
Pros & Cons
Pros
  • 2
    Use it anywhere
  • 2
    Mobile-friendly
  • 2
    24/7/365 Support
  • 2
    Scalable
  • 2
    Easily customized
No community feedback yet
Integrations
TimescaleDB
TimescaleDB
Elasticsearch
Elasticsearch
MongoDB
MongoDB
PostgreSQL
PostgreSQL
OmniDB
OmniDB
Heroku
Heroku
Google Cloud Platform
Google Cloud Platform
AWS Direct Connect
AWS Direct Connect
MongoDB
MongoDB
Spring MVC
Spring MVC
Redis
Redis
ArangoDB
ArangoDB

What are some alternatives to ObjectRocket, Spring Data?

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.

MongoLab

MongoLab

mLab is the largest cloud MongoDB service in the world, hosting over a half million deployments on AWS, Azure, and Google.

Compose

Compose

Compose makes it easy to spin up multiple open source databases with just one click. Deploy MongoDB for production, take Redis out for a performance test drive, or spin up RethinkDB in development before rolling it out to production.

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.

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