Amazon DocumentDB Reviews

Name: Amazon DocumentDB
Brand: Amazon Web Services (AWS)
Rating: 4.1 (5 reviews)

4.1 out of 5

5 reviews
80% willing to recommend

What is Amazon DocumentDB?

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads.

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Amazon DocumentDB is the #7 ranked solution in top Managed NoSQL Databases. PeerSpot users give Amazon DocumentDB an average rating of 8.2 out of 10. Amazon DocumentDB is most commonly compared to Microsoft Azure Cosmos DB: Amazon DocumentDB vs Microsoft Azure Cosmos DB. Amazon DocumentDB is popular among the large enterprise segment, accounting for 70% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 23% of all views.

Helped 865,295 peers since 2012

Featured Amazon DocumentDB reviews

Rubens Oliveira

Data & Solution Archtect at Enkel

Amazon DocumentDB is a nice product when used for smaller registers about websites or when tabular information is needed. However, when you need more volume or more registers, it becomes complicated because the performance adjustments and tuning are challenging. It's very complicated because there aren't many parameters to adjust, and query optimization is difficult due to limited options. You only have methods and index creation available. Many customers tell me, 'I don't have another way. I need to change the instance type or add another node.'

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Javed Zahoor

VP of Innovation & Technology at Virtual Force

Its speed has had the most significant impact on our projects. For starters, we used it for its flexibility. With DocumentDB, you're not tied to a rigid structure like you are with Aurora or other relational databases. This makes it great for startups. When we work with established systems where the structure is well-defined, the speed of DocumentDB becomes the most important factor. Compared to a relational database, scaling DocumentDB is easier because of its ability to replicate data across different instances. If you use a network-based storage service with your cluster, the primary instance doesn't even need a full local copy of the data, since it's accessible on the shared storage. That definitely contributes to scalability. AWS-managed services already handle a lot of the scaling complexity. We don't have to do anything.

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ArindamKarmakar

Senior Principal at a hospitality company with 10,001+ employees

We do not utilize Amazon DocumentDB's compatibility with MongoDB APIs because we do not have MongoDB in this client environment. There are current discussions about phasing out from AWS's Amazon DocumentDB offering and moving into Snowflake. The primary driver for our planned switch to Snowflake is that this client has to work with large JSON objects, each between four to six GB, and the schema is very wide with substantial free text. The overall data set we're dealing with is close to 2.1 petabytes and is still growing. The current use case involves data pipelines that parse that JSON, attempting to bring some structure for analysts to query on top of it, but this process takes a lot of time and effort. The goal is to leverage Document AI for better handling of free text keywords and to summarize information for our analysts.

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Amazon DocumentDB mindshare

As of August 2025, the mindshare of Amazon DocumentDB in the Managed NoSQL Databases category stands at 9.1%, down from 13.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Managed NoSQL Databases

PeerResearch reports based on Amazon DocumentDB reviews

Type	Title	Date
Category	Managed NoSQL Databases	Aug 19, 2025	Download
Product	Reviews, tips, and advice from real users	Aug 19, 2025	Download
Comparison	Amazon DocumentDB vs Microsoft Azure Cosmos DB	Aug 19, 2025	Download
Comparison	Amazon DocumentDB vs Amazon DynamoDB	Aug 19, 2025	Download
Comparison	Amazon DocumentDB vs Amazon Timestream	Aug 19, 2025	Download

Title	Rating	Mindshare	Recommending
Microsoft Azure Cosmos DB	4.1	16.3%	95%	102 interviews Add to research
MongoDB Atlas	4.2	8.1%	96%	49 interviews Add to research

Valuable Features

Amazon DocumentDB offers scalability and easy migration. Users appreciate its straightforward implementation, minimal administration needs, and comprehensive documentation. The platform provides fast performance, intuitive tools for monitoring and query optimization, and simple troubleshooting. Users benefit from cost-effective pricing and the ability to scale databases as performance demands increase. Many find it beneficial for developing expertise in query creation. Search availability is a notable strength of the platform.

"There are many benefits to using Amazon DocumentDB, for example, regarding the price, you can start with a small database and when you need more performance, you can grow the database."
"Amazon DocumentDB is a simple solution."
"Its speed has had the most significant impact on our projects. For starters, we used it for its flexibility. With DocumentDB, you're not tied to a rigid structure like you are with Aurora or other relational databases. This makes it great for startups."

Room for Improvement

Amazon DocumentDB presents a learning curve initially. Users desire a graphical interface for usage monitoring and query optimization. Performance becomes complex with high volume due to limited tuning options, requiring instance changes or additional nodes. A hybrid relational feature might be beneficial. Technical support needs enhancement. Some consider shifting to Snowflake because of large JSON objects and schema management challenges. MongoDB API compatibility is underutilized due to specific client environment needs.

"However, when you need more volume or more registers, it becomes complicated because the performance adjustments and tuning are challenging."
"The technical support could be improved."
"One possible improvement could be a hybrid database solution, where parts of the application leverage a relational database alongside DocumentDB. If a system were heavily relational in nature, a database like PostgreSQL might be a good fit."

Popular Use Cases

Amazon DocumentDB is used for handling unstructured data, creating backends for healthcare applications, supporting middleware development, and serving as a cache. It stores documents, medical records, and invoices and is integrated with AWS services like S3, Lambda, SQS, and SNS. Users choose Amazon DocumentDB for its ability to manage tabular information and make documentation searchable, benefiting those dealing with dynamic schemas. It's been consistently utilized for databases and user manual storage.

Service and Support

Customer service for Amazon DocumentDB has varying feedback. Users comment positively on response times and issue resolution, with technical support often responsive. Billing issues are resolved satisfactorily, while some users rely on forums and web searches for answers. Interactions range from satisfactory initial contacts to mixed experiences, depending on the support representative's expertise. Communication is a significant aspect, with engineers often sought out for complex issues. Users generally report good feedback when contacting support.

Scalability

Amazon DocumentDB offers robust scalability features, enabling easy management and configuration of instance types and capacities. Users report minimal issues, though some face cost challenges and a need to optimize instance usage. Its strengths in indexing and JSON storage are noted, but utilizing data can involve complex setups and require knowledge in tools like Python or Spark, presenting obstacles for some business analysts. Users express interest in simpler search interfaces.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Amazon DocumentDB Buyer's Guide for additional reliable information.

Top industries

By visitors reading reviews

Computer Software Company

23%

Financial Services Firm

17%

Manufacturing Company

10%

Government

Insurance Company

Educational Organization

Performing Arts

University

Media Company

Healthcare Company

Hospitality Company

Retailer

Transportation Company

Comms Service Provider

Consumer Goods Company

Construction Company

Real Estate/Law Firm

Wellness & Fitness Company

Logistics Company

Mining And Metals Company

Non Profit

Pharma/Biotech Company

Recreational Facilities/Services Company

Renewables & Environment Company

Venture Capital & Private Equity Firm

Compare Amazon DocumentDB with alternative products

Learn more about Amazon DocumentDB

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.