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  1. Stackups
  2. Application & Data
  3. Document Databases
  4. Mongodb Hosting
  5. Compose vs ObjectRocket

Compose vs ObjectRocket

OverviewComparisonAlternatives

Overview

Compose
Compose
Stacks258
Followers121
Votes206
ObjectRocket
ObjectRocket
Stacks5
Followers15
Votes16

Compose vs ObjectRocket: What are the differences?

Developers describe Compose as "We host databases for busy devs: production-ready, cloud-hosted, open source". 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. On the other hand, ObjectRocket is detailed as "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.

Compose can be classified as a tool in the "MongoDB Hosting" category, while ObjectRocket is grouped under "Database Tools".

Some of the features offered by Compose are:

  • One click, production-ready, cloud hosted MongoDB, Redis, Elasticsearch, PostgreSQL and RethinkDB, with additional databases in beta.

Every deployment features: database autoscaling based on data size usage

  • private VLAN, IP whitelisting, SSL, full-stack monitoring, custom alerts
  • HA and fault tolerance with automatic failover

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

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

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Detailed Comparison

Compose
Compose
ObjectRocket
ObjectRocket

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.

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.

One click, production-ready, cloud hosted MongoDB, Redis, Elasticsearch, PostgreSQL and RethinkDB, with additional databases in beta. Every deployment features: database autoscaling based on data size usage; private VLAN, IP whitelisting, SSL, full-stack monitoring, custom alerts; HA and fault tolerance with automatic failover; enterprise-grade SSD; easy to add plugins including New Relic; daily, weekly and monthly backups at no additional cost; availability on multiple data centers; a global support team to troubleshoot problems quickly; dedicated servers available.
Fast; Scalable; Secure; Reliable managed Mongo DB, Redis, & Elasticsearch; Affordable; Easy migrations;
Statistics
Stacks
258
Stacks
5
Followers
121
Followers
15
Votes
206
Votes
16
Pros & Cons
Pros
  • 42
    Simple to set up
  • 32
    One-click mongodb
  • 29
    Automated Backups
  • 23
    Designed to scale
  • 21
    Easy interface
Pros
  • 2
    Easy to spin up an Instance
  • 2
    Easily customized
  • 2
    CockroachDB management
  • 2
    Fast
  • 2
    Use it anywhere
Integrations
SoftLayer
SoftLayer
Heroku
Heroku
Amazon EC2
Amazon EC2
DigitalOcean
DigitalOcean
TimescaleDB
TimescaleDB
Elasticsearch
Elasticsearch
MongoDB
MongoDB
PostgreSQL
PostgreSQL
OmniDB
OmniDB
Heroku
Heroku
Google Cloud Platform
Google Cloud Platform
AWS Direct Connect
AWS Direct Connect

What are some alternatives to Compose, ObjectRocket?

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.

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.

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