Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads.
Product | Market Share (%) |
---|---|
Amazon DocumentDB | 9.1% |
Amazon DynamoDB | 16.6% |
Microsoft Azure Cosmos DB | 16.3% |
Other | 58.0% |
Type | Title | Date | |
---|---|---|---|
Category | Managed NoSQL Databases | Aug 29, 2025 | Download |
Product | Reviews, tips, and advice from real users | Aug 29, 2025 | Download |
Comparison | Amazon DocumentDB vs Microsoft Azure Cosmos DB | Aug 29, 2025 | Download |
Comparison | Amazon DocumentDB vs Amazon DynamoDB | Aug 29, 2025 | Download |
Comparison | Amazon DocumentDB vs Amazon Timestream | Aug 29, 2025 | Download |
Title | Rating | Mindshare | Recommending | |
---|---|---|---|---|
Microsoft Azure Cosmos DB | 4.1 | 16.3% | 95% | 102 interviewsAdd to research |
MongoDB Atlas | 4.2 | 8.1% | 96% | 49 interviewsAdd to research |
Amazon DocumentDB is 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.
Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs). You can use AWS Database Migration Service (DMS) for free (for six months) to easily migrate their on-premises or Amazon Elastic Compute Cloud (EC2) MongoDB databases to Amazon DocumentDB with virtually no downtime.
Author info | Rating | Review Summary |
---|---|---|
Technical Lead at Trianz | 4.0 | I've used Amazon DocumentDB for nearly three years and find its NoSQL features, minimal migration downtime, and fast data retrieval ideal, though improvements in high availability and sharding would enhance its already strong performance and flexibility. |
Data & Solution Archtect at Enkel | 4.0 | I find Amazon DocumentDB useful for small-scale applications with minimal administration, but it struggles with scaling and performance tuning, which becomes costly. Despite its limitations, I rate it 8 out of 10 based on overall experience. |
Senior Principal at a hospitality company with 10,001+ employees | 4.0 | I've used Amazon DocumentDB for over three years to support searchable document storage, but due to scalability limits with large JSON data, we're transitioning to Snowflake for better performance and easier analytics for business users. |
VP of Innovation & Technology at Virtual Force | 4.5 | We use Amazon DocumentDB both as a cache for quick lookups and as a complete backend, like in a healthcare app for Sweden. There’s potential for improvement with a hybrid solution integrating relational databases like PostgreSQL for heavily relational needs. |
Co-Founder & CTO at kvalifika | 4.0 | No summary available |
Senior Devops Specialist at a recruiting/HR firm with 201-500 employees | 4.0 | I use Amazon DocumentDB for a middleware project due to its simplicity and ease of implementation. Although I appreciate the integration, I believe the technical support could be enhanced. I switched from MongoDB for easier operation. |