Amazon DocumentDB vs MongoDB Atlas
Overview
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Detailed Comparison
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. | Amazon DocumentDB is a non-relational database service designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data. |
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.
| MongoDB-compatible;Fully managed;Performance at scale |
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Pros & Cons | |
Pros
| Pros
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Integrations | |
| No integrations available | |
What are some alternatives to MongoDB Atlas, Amazon DocumentDB?
MongoLab
mLab is the largest cloud MongoDB service in the world, hosting over a half million deployments on AWS, Azure, and Google.
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.
Amazon DynamoDB
With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.
Azure Cosmos DB
Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.
Cloud Firestore
Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.
Cloudant
Cloudant’s distributed database as a service (DBaaS) allows developers of fast-growing web and mobile apps to focus on building and improving their products, instead of worrying about scaling and managing databases on their own.
Google Cloud Bigtable
Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.
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.
Google Cloud Datastore
Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.
CloudBoost
CloudBoost.io is a database service for the “next web” - that not only does data-storage, but also search, real-time and a whole lot more which enables developers to build much richer apps with 50% less time saving them a ton of cost and helping them go to market much faster.
