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

MongoLab vs ScaleGrid

OverviewComparisonAlternatives

Overview

MongoLab
MongoLab
Stacks438
Followers375
Votes216
ScaleGrid
ScaleGrid
Stacks8
Followers37
Votes0

MongoLab vs ScaleGrid: What are the differences?

Introduction:

MongoLab and ScaleGrid are two popular cloud database management platforms that offer a variety of features for hosting, managing, and optimizing databases. Below are the key differences between these two platforms.

  1. Deployment Options: MongoLab offers cloud database hosting on various platforms like AWS, Google Cloud Platform, and Microsoft Azure, while ScaleGrid specializes in providing dedicated hosting on AWS and Azure. This means that ScaleGrid provides dedicated hosting for better performance but may limit the flexibility of deployment options available compared to MongoLab.

  2. Pricing: MongoLab follows a pay-as-you-go pricing model, where users are billed based on usage and resources, while ScaleGrid offers flat-rate pricing plans that are based on the number of nodes required. This difference in pricing structures can significantly impact cost management and budgeting for users.

  3. Management Features: ScaleGrid offers advanced management features like query analysis, monitoring, and alerting, in addition to database backups and restores. On the other hand, MongoLab provides a more basic set of management features, focusing on simplicity and ease of use for users who prioritize ease of setup and maintenance.

  4. Scalability: ScaleGrid focuses on providing scalable infrastructure for databases, with options for automatic scaling based on workload, while MongoLab lacks some of the advanced scalability features that ScaleGrid offers. This can be an important consideration for users who expect their database needs to grow rapidly in the future.

  5. Global Availability: MongoLab has a broader global presence with data centers in multiple regions around the world, offering low-latency hosting options for users in various geographic locations. In contrast, ScaleGrid has a more limited presence in terms of global data center locations, which may affect performance for users in certain regions.

  6. Support Services: ScaleGrid provides dedicated support services with 24/7 availability for users, offering assistance with setup, maintenance, and troubleshooting. MongoLab also offers support services but may not provide the same level of personalized support and availability as ScaleGrid. This difference in support offerings can be crucial for users who rely on prompt assistance for managing their databases effectively.

In Summary, the main differences between MongoLab and ScaleGrid lie in their deployment options, pricing models, management features, scalability options, global availability, and support services.

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Detailed Comparison

MongoLab
MongoLab
ScaleGrid
ScaleGrid

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

ScaleGrid is a fully managed Database-as-a-Service (DBaaS) solution for MongoDB, Redis, MySQL, and PostgreSQL on AWS, Azure, DigitalOcean, VMware and OpenStack. Automate your database operations in the cloud so you can get back to product.

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
Bring your own cloud; Dedicated servers; High availability; AWS Virtual Private Cloud (VPC) support; Azure Virtual Network (VNET) support; Shard support; Custom replica set configurations; SSH access to the underlying machine; Cross-data center configurations; Slow query analysis; Monitoring console with OS and database metrics; Custom alerts; Multiple database version support; Scheduled and on-demand backups; One-click restores; Monthly reports; EC2 EBS provisioned IOPS; EC2 local SSD; WiredTiger storage engine; Disk compression; Encryption at rest; Customizable RAM, disk size and instance type; Dynamic and automatic scaling; Free 24/7 support, Log rotations; OS patching; Free upgrades; Performance debugging; Reserved Instances support; Security Group support; High-performance clusters; Web-based shell management; Unlimited databases;
Statistics
Stacks
438
Stacks
8
Followers
375
Followers
37
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
PostgreSQL
PostgreSQL
Amazon EC2
Amazon EC2
New Relic
New Relic
MySQL
MySQL
Mongoose
Mongoose
PagerDuty
PagerDuty
Node.js
Node.js
Robo 3T
Robo 3T
WordPress
WordPress
Slack
Slack

What are some alternatives to MongoLab, ScaleGrid?

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.

MongoDB Atlas

MongoDB Atlas

MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud.

ObjectRocket

ObjectRocket

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.

DigitalOcean Managed MongoDB

DigitalOcean Managed MongoDB

It is a fully managed, database as a service (DBaaS). Build scalable high-performance apps using MongoDB cloud service. It handles the provisioning, scaling, updates, backups, and security of your MongoDB clusters, so you can focus on your apps.

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