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  1. Stackups
  2. Application & Data
  3. Document Databases
  4. Mongodb Hosting
  5. Atlas-DB vs MongoLab

Atlas-DB vs MongoLab

OverviewComparisonAlternatives

Overview

MongoLab
MongoLab
Stacks438
Followers375
Votes216
Atlas-DB
Atlas-DB
Stacks6
Followers77
Votes0
GitHub Stars3.5K
Forks324

Atlas-DB vs MongoLab: What are the differences?

Developers describe Atlas-DB as "Backend for managing dimensional time series data, by Netflix". Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly. On the other hand, MongoLab is detailed as "Database-as-a-Service for MongoDB". mLab is the largest cloud MongoDB service in the world, hosting over a half million deployments on AWS, Azure, and Google.

Atlas-DB can be classified as a tool in the "Database Tools" category, while MongoLab is grouped under "MongoDB Hosting".

Atlas-DB is an open source tool with 2.4K GitHub stars and 204 GitHub forks. Here's a link to Atlas-DB's open source repository on GitHub.

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Detailed Comparison

MongoLab
MongoLab
Atlas-DB
Atlas-DB

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

Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly.

On-demand provisioning on the major clouds. Seamless, zero-downtime scaling and high availability via auto-failover on production-ready plans; Unlimited backups on Dedicated plans; free daily backup on other plans. Free and easy backup restores; Web GUI for editing documents, running queries (including saved searches), and viewing results in tabular format; Dedicated plans support encryption-at-rest, include SSL for free, and allow for custom firewalls as well as VPC peering
Manages dimensional time series data; In-memory data storage; Captures operational intelligence
Statistics
GitHub Stars
-
GitHub Stars
3.5K
GitHub Forks
-
GitHub Forks
324
Stacks
438
Stacks
6
Followers
375
Followers
77
Votes
216
Votes
0
Pros & Cons
Pros
  • 61
    Development free tier
  • 46
    Easy setup
  • 38
    Scalable mongo hosting
  • 25
    Heroku plugin
  • 14
    REST API
Cons
  • 1
    Lab bought by MongoDB. Being replaced by Atlas
No community feedback yet
Integrations
Heroku
Heroku
Microsoft Azure
Microsoft Azure
Amazon EC2
Amazon EC2
Red Hat OpenShift
Red Hat OpenShift
AppFog
AppFog
Rackspace Cloud Servers
Rackspace Cloud Servers
AppHarbor
AppHarbor
Engine Yard Cloud
Engine Yard Cloud
Joyent Cloud
Joyent Cloud
Nodejitsu
Nodejitsu
No integrations available

What are some alternatives to MongoLab, Atlas-DB?

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.

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.

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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