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Compare Amazon Aurora and MongoDB Atlas 
At a Glance
Market Segments
Small-Business (38.0% of reviews)
Small-Business (56.6% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon Aurora
Star Rating
(487)4.5 out of 5
Market Segments
Small-Business (38.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Amazon AuroraMongoDB Atlas
Star Rating
(361)4.5 out of 5
Market Segments
Small-Business (56.6% of reviews)
Entry-Level Pricing
No pricing available
Learn more about MongoDB AtlasSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon Aurora excels in scalability, with a score of 9.0, allowing businesses to handle increased workloads seamlessly. In contrast, MongoDB Atlas also scores well at 9.2, but users mention that its auto-sharding feature is particularly beneficial for managing large datasets efficiently.
- Reviewers mention that Amazon Aurora's ACID compliance (8.7) is a significant advantage for applications requiring strict transaction integrity. MongoDB Atlas, while also strong in this area, scores slightly lower at 8.6, leading some users to prefer Aurora for mission-critical applications.
- Users on G2 highlight that Amazon Aurora's backup capabilities (9.1) are robust, providing peace of mind for data recovery. Conversely, MongoDB Atlas, with a score of 8.8, offers good backup options but reviewers note that its archiving features (8.5) could be improved for better long-term data management.
- Reviewers say that the ease of setup for MongoDB Atlas (9.1) is a standout feature, making it user-friendly for new users. In comparison, Amazon Aurora's setup score of 8.6 is still commendable, but users report that it may require more technical expertise to configure initially.
- Users report that both products offer strong data replication features, with Amazon Aurora scoring 9.0 and MongoDB Atlas at 8.7. However, reviewers mention that Aurora's replication is particularly praised for its high availability and disaster recovery capabilities.
- G2 users highlight that MongoDB Atlas shines in data model flexibility (9.3), allowing for a variety of data types and structures. In contrast, Amazon Aurora, while strong in relational data management (9.2), is noted by users as being less adaptable for non-relational data needs.
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Pricing
Entry-Level Pricing
Amazon Aurora
No pricing availableMongoDB Atlas
No pricing availableFree Trial
Amazon Aurora
No trial information availableMongoDB Atlas
No trial information availableRatings
Meets Requirements
9.0
435
8.9
266
Ease of Use
8.7
438
9.0
267
Ease of Setup
8.6
273
9.1
97
Ease of Admin
8.7
196
8.7
95
Quality of Support
8.7
421
8.7
237
Has the product been a good partner in doing business?
8.8
193
8.8
90
Product Direction (% positive)
9.5
417
9.3
262
Features by Category
Reports
Not enough data
8.2
52
Not enough data
8.2
50
Not enough data
8.9
58
Not enough data
8.9
47
Not enough data
8.9
56
Self Service
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reports
Not enough data
8.2
52
Not enough data
8.2
50
Not enough data
8.9
58
Not enough data
8.9
47
Not enough data
8.9
56
Reports
Not enough data
8.6
54
Not enough data
8.6
52
Not enough data
7.9
48
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Visualization
Not enough data
9.0
57
Not enough data
8.5
47
Not enough data
9.2
56
Not enough data
8.5
50
Data Updates
Not enough data
8.7
47
Not enough data
8.8
55
Collaboration
Not enough data
8.6
49
Not enough data
8.5
44
Not enough data
8.1
47
Data Updates
Not enough data
8.6
45
Not enough data
8.7
51
Not enough data
8.3
46
Management
8.7
204
Not enough data
8.6
205
Not enough data
8.7
203
Not enough data
8.9
206
Not enough data
Support
8.3
203
Not enough data
8.6
210
Not enough data
8.4
202
Not enough data
8.6
200
Not enough data
Security
8.7
199
Not enough data
8.7
201
Not enough data
8.9
202
Not enough data
8.8
200
Not enough data
Performance
8.9
202
Not enough data
8.8
199
Not enough data
8.8
198
Not enough data
8.6
197
Not enough data
8.5
197
Not enough data
Database Features
9.1
289
Not enough data
9.2
287
Not enough data
8.9
286
Not enough data
9.2
282
Not enough data
9.0
282
Not enough data
8.5
279
Not enough data
8.6
286
Not enough data
Data Management
Not enough data
9.2
56
Not enough data
9.3
56
Not enough data
8.7
53
Not enough data
8.7
50
Availability
Not enough data
8.9
48
Not enough data
8.6
49
Not enough data
9.0
52
Performance
Not enough data
8.6
54
Security
Not enough data
9.0
55
Not enough data
9.2
56
Not enough data
8.8
51
Not enough data
9.0
53
Support
Not enough data
8.5
52
Not enough data
9.2
50
Not enough data
8.7
40
Configuration
8.9
204
9.2
133
8.6
191
8.5
115
8.6
201
9.0
126
8.3
182
8.3
107
8.8
198
9.0
118
Database Administration
8.7
196
8.8
122
8.6
181
8.7
114
8.5
181
8.6
108
Availability
9.0
197
9.2
127
9.1
195
8.8
123
8.8
188
8.5
111
8.7
188
9.0
125
Security
8.7
133
8.7
72
8.6
133
9.0
78
8.6
126
8.7
70
Data Management
8.9
134
8.7
77
8.5
125
8.8
66
Database Features
9.1
289
Not enough data
9.2
287
Not enough data
8.9
286
Not enough data
9.2
282
Not enough data
9.0
282
Not enough data
8.5
279
Not enough data
8.6
286
Not enough data
Categories
Categories
Shared Categories
Amazon Aurora and MongoDB Atlas are categorized as Database as a Service (DBaaS)
Unique Categories
Amazon Aurora is categorized as Relational Databases
MongoDB Atlas is categorized as Document Databases and Data Visualization
Reviews
Reviewers' Company Size
Amazon Aurora
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
MongoDB Atlas
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
23.5%
Computer Software
20.7%
Computer & Network Security
4.8%
Financial Services
3.9%
Retail
3.5%
Other
43.6%
Computer Software
30.0%
Information Technology and Services
21.8%
Higher Education
4.1%
Education Management
3.8%
Financial Services
3.2%
Other
37.1%
Most Helpful Reviews
Amazon Aurora
Most Helpful Favorable Review
Hamza A.
Verified User in Market Research
Amazon Aurora stands out for several reasons that I truly appreciate. First, its **exceptional performance** allows applications to run faster, handling high-throughput workloads seamlessly. This is invaluable for businesses needing quick data access....
Most Helpful Critical Review
R.Mujtaba T.
Verified User in Computer & Network Security
Price for the services is high that's the only issue.
MongoDB Atlas
Most Helpful Favorable Review
Ahmad H.
Verified User in Telecommunications
Document Model is easy to understand and use. Sharding (horizontal scaling) is also easy to implement and gives a very good way to distribute the big workloads across multiple replication sets, while working seamlessly with them. A new feature added in...
Most Helpful Critical Review
Stefan Adrian B.
Verified User in Financial Services
MongoDb has the absolute worst account managers out there. Literally can't even take a payment and we have to manually make a payment every month because of their incompetence. Escalating to anyone in the team ends up nowhere, as other people don't know...
Hamza A.
Verified User in Market Research
Amazon Aurora stands out for several reasons that I truly appreciate. First, its **exceptional performance** allows applications to run faster, handling high-throughput workloads seamlessly. This is invaluable for businesses needing quick data access....
Ahmad H.
Verified User in Telecommunications
Document Model is easy to understand and use. Sharding (horizontal scaling) is also easy to implement and gives a very good way to distribute the big workloads across multiple replication sets, while working seamlessly with them. A new feature added in...
R.Mujtaba T.
Verified User in Computer & Network Security
Price for the services is high that's the only issue.
Stefan Adrian B.
Verified User in Financial Services
MongoDb has the absolute worst account managers out there. Literally can't even take a payment and we have to manually make a payment every month because of their incompetence. Escalating to anyone in the team ends up nowhere, as other people don't know...
Alternatives
Discussions
What is Amazon Aurora vs RDS?
2 comments
AR
AWS (Amazon Web Services) offers both Amazon Aurora and Amazon Relational Database Service (RDS) as database services, however, they have slightly different...Read more
What is Amazon Aurora used for?
2 comments
HA
Amazon Aurora is a fully managed relational database engine designed for the cloud, compatible with MySQL and PostgreSQL. It's used for providing high...Read more
Amazon Aurora has no more discussions with answers
can we axpect more feature available to students as developerss it would be verry helpful
4 comments
BT
YesRead more
Is MongoDB Atlas free?
3 comments
VP
yes, it provides free limited service like shared server with 512MB storage.Read more
MongoDB Atlas supports a wide range of scaling options, including horizontal scaling through sharding, vertical scaling by increasing the resources of individual nodes, and global scaling with multi-region deployments. It is designed to handle everything from small applications to large, complex workloads.
2 comments
Official Response from MongoDB Atlas
MongoDB is one of the most scalable databases on the planet, and MongoDB Atlas brings you that same scalability, but with us managing it for you:
You can...Read more
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