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Fully managed Dedicated MongoDB plans on Heroku

We’re excited to announce that a new line of production-ready Dedicated replica set plans are now available through the MongoLab add-on on Heroku!

Our fully managed Dedicated plans run on dedicated virtual machines (VMs) and offer guaranteed resources (RAM/IO/CPU), SSD-backed disks, and seamless zero-downtime scaling.

By using the MongoLab add-on on Heroku, teams can easily navigate between administering their Heroku application and their MongoDB deployment(s) via our integrated management portals and receive consolidated billing from Heroku for all their applications’ services.

Fully managed MongoDB-as-a-Service

MongoLab’s Dedicated plans come with:

Highly Available MongoDB Cloud Hosting

Provision a production-ready replica set with a few clicks.

  • Dedicated virtual machines
  • SSD-backed block storage (EBS) volumes
  • Multi-zone replication and automatic failover using MongoDB Replica Sets

MongoDB Management Tools

Manage current database operations, stream real-time logs, and perform other essential DBA functions through our MongoDB management GUI.

  • Free daily customizable backups with easy restore
  • Real-time and historical monitoring of key performance metrics
  • Automated query analysis and index recommendations
  • Tools to find and kill running database operations
  • Custom firewall configuration 

MongoDB Support

In addition to MongoLab’s standard timely email support, our Dedicated plan users get premium support.

  • 24×7 emergency support hotline
  • Expert advice on performance tuning and data modeling
  • Pre-production “health checks” to make sure you are ready to go live

Available in Heroku’s US and EU regions

All MongoLab plans available through Heroku’s add-on program are available in both Heroku’s US and EU regions.

It is highly recommended that teams deploy their MongoLab database into the same AWS region as their Heroku application. This keeps network traffic internal to the region which minimizes latency and maximizes security.

Resources for getting started

If you’re new to MongoLab and Heroku, we have free Sandbox plans with 500MB of storage to help you get started. These plans should be used for development and testing only.

We also have published some resources to help you quickly get up and running:

Production-ready MongoDB made easy

If you’re unsure about which plan you need or are just getting started with MongoDB, you can reach out to the MongoLab team at anytime. We look forwarding to hearing from you!

MongoLab now supports Google Cloud Platform!


This week at Google I/O we are launching support for MongoLab‘s fifth cloud provider – Google Cloud Platform. You can now use MongoLab to provision and manage MongoDB deployments on Google Compute Engine (GCE)!

So far we are very impressed with the capabilities of the GCE infrastructure.  In particular:

  • The network is fast. I mean really fast. Some of the bandwidth and latency benchmark scores are astounding. Since I/O is king for databases this will be great for connecting your GCE-hosted application to a MongoDB instance hosted by MongoLab.

  • GCE has a global private network connecting GCE regions across the world. This will be great for global multi-region clusters. We don’t support this quite yet, but when we do GCE will provide a high-speed private backbone upon which to build a great solution.

  • The API is clean, and VMs spin-up fast. This is key for automation, and we like to automate.

For now we are in an early access beta, supporting only our free Sandbox database plans in GCE’s us-central1 region. We will be launching support for the rest of our product line in subsequent releases.

We will have a Developer Sandbox (a.k.a “booth”) at the conference on Friday May 17th. If you are at Google I/O and into MongoDB come visit us!

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How to use MongoDB on RedHat OpenShift with MongoLab

Hey RedHat fans – we’ve got your MongoDB hosting needs covered!

In today’s post we’ll be presenting a quick-start guide on how to connect OpenShift, the free RedHat auto-scaling Platform-as-a-Service (PaaS), with our popular MongoDB Database-as-a-Service (DBaaS), MongoLab.

For demonstration purposes, we’ll be using a Node.js application that we’ve written (available for download here). All it takes to connect your OpenShift application is five easy steps!

Continue Reading →

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MongoLab at


We’re excited to partner with Overdriver, a unique Platform-as-a-Service for gaming that is showcasing their beta service for the first time at this year’s Game Developers Conference (GDC)!

This exciting partnership means that MongoLab will serve as the core data storage provider for Overdriver’s online game developer community. You can find out more right here.

By marrying dynamic cloud scaling with gaming-specific tooling for features like virtual goods and social functionality, Overdriver addresses the biggest demand issue that game studios face: bringing titles to market quickly but with little operational risk.

MongoDB naturally supports the object-oriented information model in games, capturing concepts such as user characters, possessions, game pieces, and state of play. MongoLab’s robust and performant MongoDB-as-a-Service lets Overdriver game developers give their full attention to designing compelling games.

We are fascinated by Overdriver and honored to be an inaugural partner in their ground-breaking specialized PaaS approach.

If you’re in San Francisco this week stop by their booth, #1838, at GDC and meet the Overdriver team. Also, be sure to sign up for an account at FYI, creating a new environment at Overdriver automatically creates a new MongoLab account and database.

We can’t wait to play with what you build!

Object Modeling in Node.js with Mongoose

Check it out! We’ve just updated our Heroku Dev Center tutorial on object modeling in Node.js using Mongoose, a MongoDB ODM library. Mongoose gives your collections structure and simplifies Node’s callback patterns to make using MongoDB with Node.js even easier.

Learn more and download the sample Node.js app right here at the Heroku Dev Center.

Node.js and MongoLab on Windows Azure

(This tutorial was originally published on the Windows Azure documentation portal in January 2013)

Greetings, adventurers! Welcome to MongoDB-as-a-Service. Are you looking to create a Node.js Application on Windows Azure with MongoDB using the MongoLab Azure Store add-on?

In this tutorial you will:

  1. Provision the database – The Windows Azure Store MongoLab add-on will provide you with a MongoDB database hosted in the Windows Azure cloud and managed by MongoLab‘s cloud database platform.
  2. Create the app – It’ll be a simple Node.js app for maintaining a list of tasks.
  3. Deploy the app – By tying a few configuration hooks together, we’ll make pushing our code a breeze.
  4. Manage the database – Finally, we’ll show you MongoLab’s web-based database management portal where you can search, visualize, and modify data with ease.

At any time throughout this tutorial, feel free to kick off an email to if you have any questions. To complete this tutorial, you need a Windows Azure account that has the Windows Azure Web Sites feature enabled. You can create a free trial account and enable preview features in just a couple of minutes. For details, see the Create a Windows Azure account and enable preview features tutorial.

In addition, ensure that you have the following installed:
Continue Reading →

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Automated Slow Query Analysis: Dex recorded presentation from MongoSV 2012

Automated Slow Query Analysis: Dex the Index Robot

On December 4th, MongoLab engineer Eric Sedor presented about “Automated Slow Query Analysis: Dex the Index Robot” at MongoSV 2012, an annual one-day conference in Silicon Valley, CA, dedicated to the open source, non-relational database MongoDB.

A well-indexed query improves performance by several orders of magnitude. The trick is to identify an ideal set of indexes for a particular use case. Even for experts, hand-crawling MongoDB log for slow queries is a laborious process. Introducing Dex: an open-source automated tool for analyzing the slow query log or system.profile collection. Dex’s primary author Eric Sedor demonstrates Dex’s usage and elaborates on indexing topics from the basic to the advanced. Includes how to pick indexes in an elegant, practical way. You learn how Dex categorizes slow queries and recommends indexes to help keep your application running smoothly. Eric is an engineer at MongoLab, cloud-hoster of MongoDB, where Dex is used daily to optimize customer indexes.

Check out the recording below and please be sure to check out 10gen’s page for the presentation which has links to Speaker Deck slides and an alternate video link.

Here’s Dex’s github page, and the latest version (0.5) announcement

MongoLab sponsors Node Knockout hackathon 2012

We’re fans of Node.js and so we’re happy to be sponsoring the Node Knockout 48-hour hackathon and to be providing two prizes!

We host MongoDB at JoyentCloud with 500MB free plans.  JoyentCloud is where Nodejitsu hosts Node Knockout apps.  If you select JoyentCloud’s us-east-1 (Virgina) datacenter, you’ll have a low latency connection between your Node Knockout app and your database.

Instructions on how to provision a MongoLab server on the JoyentCloud (UPDATED):

  1. “npm update -g jitsu” OR “npm install -g jitsu”
  2. “jitsu databases create mongo”

We’ll have a person on-site at Joyent’s San Francisco headquarters for the kickoff on Nov 9.  As always, we have engineers at at the ready to answer questions.

We are offering the winners of the Team category and the Innovation category each a dedicated replica-set cluster with 2 GB RAM for 6 months.  May the best apps win!

updates: 2012-11-09 clarification on prizes, official Node Knockout URL added.  Old draft URL here:  Updated instructions.