Overview

MongoLab

Stacks438

Followers375

Votes216

MongoDB Atlas

Stacks855

Followers940

Votes34

MongoDB Atlas vs MongoLab: What are the differences?

Cost Structure: MongoDB Atlas has a more flexible and cost-effective pricing structure compared to MongoLab. With MongoDB Atlas, users are able to choose from different instance types and sizes, allowing them to optimize their costs based on their specific needs. On the other hand, MongoLab has a fixed pricing structure with predefined plans, limiting flexibility.
Security: While both MongoDB Atlas and MongoLab offer security features, MongoDB Atlas comes with additional built-in security functionalities. It provides options for network isolation, IP whitelisting, and VPC peering, giving users more control over their data security. MongoLab, although it offers similar security measures, does not provide as extensive security options as MongoDB Atlas.
Scalability: MongoDB Atlas is designed to scale seamlessly as it automatically handles data distribution and sharding across multiple servers. This allows users to easily increase their storage capacity and handle larger workloads without significant performance impact. On the other hand, MongoLab has limitations on scalability as it does not offer the same automated scaling capabilities as MongoDB Atlas.
Managed Backups: MongoDB Atlas offers managed backups, allowing users to easily schedule and restore backups of their databases. Users can also choose between continuous backup or point-in-time recovery options to ensure data recoverability. MongoLab, on the other hand, does not provide the same level of managed backup services, requiring users to implement their own backup strategies.
Geographic Availability: MongoDB Atlas has a wider geographic availability compared to MongoLab, with data centers located in multiple regions around the world. This allows users to select the region closest to their target audience, reducing latency and improving overall performance. MongoLab, although it has multiple data centers, may not have the same extensive global coverage as MongoDB Atlas.
Integration with MongoDB Tools: MongoDB Atlas seamlessly integrates with other MongoDB tools, such as MongoDB Compass and MongoDB Charts, providing users with a more unified and streamlined experience. Users can easily visualize and analyze data stored in MongoDB Atlas using these tools. MongoLab, although compatible with MongoDB tools, may not have the same level of integration and compatibility.

In Summary, MongoDB Atlas offers a more flexible cost structure, enhanced security options, seamless scalability, managed backups, wider geographic availability, and better integration with MongoDB tools compared to MongoLab.

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Detailed Comparison

MongoLab	MongoDB Atlas
mLab is the largest cloud MongoDB service in the world, hosting over a half million deployments on AWS, Azure, and Google.	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.
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	Global clusters for world-class applications. Support for 60+ cloud regions across AWS, Azure, & GCP.; Secure for sensitive data. Built-in security controls and features to meet your existing protocols and compliance standards.; Designed for developer productivity. Integrated tools to manipulate, visualize, and analyze your data. Execute code in real time in response to data changes.; Reliable for mission-critical workload. Highly available with distributed fault tolerance and backup options to meet your data recovery objectives.; Built for optimal performance. On-demand scaling, resource optimization tools, and real-time visibility into database performance.
Statistics
Stacks 438	Stacks 855
Followers 375	Followers 940
Votes 216	Votes 34
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 10 MongoDB SaaS for and by Mongo, makes it so easy 6 Amazon VPC peering 4 Granular role-based access controls 4 MongoDB atlas is GUItool through you can manage all DB 3 Cloud instance to be worked with
Integrations
Heroku Microsoft Azure Amazon EC2 Red Hat OpenShift AppFog Rackspace Cloud Servers AppHarbor Engine Yard Cloud Joyent Cloud Nodejitsu	MongoDB

What are some alternatives to MongoLab, MongoDB Atlas?

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.

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.

ScaleGrid

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.

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.