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

MongoLab vs RethinkDB

OverviewComparisonAlternatives

Overview

MongoLab
MongoLab
Stacks438
Followers375
Votes216
RethinkDB
RethinkDB
Stacks292
Followers406
Votes307
GitHub Stars27.0K
Forks1.9K

MongoLab vs RethinkDB: What are the differences?

What is MongoLab? 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.

What is RethinkDB? JSON. Scales to multiple machines with very little effort. Open source. 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.

MongoLab can be classified as a tool in the "MongoDB Hosting" category, while RethinkDB is grouped under "Databases".

"Development free tier" is the primary reason why developers consider MongoLab over the competitors, whereas "Powerful query language" was stated as the key factor in picking RethinkDB.

RethinkDB is an open source tool with 22.4K GitHub stars and 1.74K GitHub forks. Here's a link to RethinkDB's open source repository on GitHub.

Lyft, Accenture, and Rocket.Chat are some of the popular companies that use MongoLab, whereas RethinkDB is used by miDrive, Rove.me, and Lastbackend. MongoLab has a broader approval, being mentioned in 102 company stacks & 40 developers stacks; compared to RethinkDB, which is listed in 37 company stacks and 25 developer stacks.

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Detailed Comparison

MongoLab
MongoLab
RethinkDB
RethinkDB

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

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.

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
JSON data model and immediate consistency.;Distributed joins, subqueries, aggregation, atomic updates.;Secondary, compound, and arbitrarily computed indexes.;Hadoop-style map/reduce.;Friendly web and command-line administration tools.;Takes care of machine failures and network interrupts.;Multi-datacenter replication and failover.;Sharding and replication to multiple nodes.;Queries are automatically parallelized and distributed.;Lock-free operation via MVCC concurrency.
Statistics
GitHub Stars
-
GitHub Stars
27.0K
GitHub Forks
-
GitHub Forks
1.9K
Stacks
438
Stacks
292
Followers
375
Followers
406
Votes
216
Votes
307
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
Pros
  • 48
    Powerful query language
  • 46
    Excellent dashboard
  • 42
    JSON
  • 41
    Distributed database
  • 38
    Open source
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
Amazon EC2
Amazon EC2

What are some alternatives to MongoLab, RethinkDB?

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.

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.

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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