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Compare MongoDB and Oracle Database Cloud Service 
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At a Glance
Market Segments
Small-Business (37.8% of reviews)
Enterprise (55.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
MongoDB
Star Rating
(539)4.5 out of 5
Market Segments
Small-Business (37.8% of reviews)
Entry-Level Pricing
No pricing available
Learn more about MongoDBOracle Database Cloud Service
Star Rating
(41)4.3 out of 5
Market Segments
Enterprise (55.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Oracle Database Cloud ServiceSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that MongoDB excels in scalability with a score of 9.0, allowing for seamless growth as data needs increase, while Oracle Database Cloud Service, although strong, has a slightly lower scalability score of 9.0, which some users feel may not be as flexible in rapidly changing environments.
- Reviewers mention that MongoDB's indexing capabilities are particularly impressive, scoring 9.5, which enhances query performance significantly. In contrast, Oracle Database Cloud Service has a solid indexing score of 8.2, but some users feel it could benefit from more advanced indexing features.
- G2 users highlight MongoDB's built-in search functionality with a score of 8.4, which simplifies data retrieval processes. Oracle Database Cloud Service, while offering robust search capabilities, does not have a specific built-in search feature that matches MongoDB's ease of use in this area.
- Reviewers say that MongoDB's data replication features score 8.7, providing reliable data availability and consistency across distributed systems. Oracle Database Cloud Service also offers strong data replication, but some users report that its configuration can be more complex compared to MongoDB.
- Users on G2 appreciate MongoDB's ease of setup, scoring 8.4, which allows for quicker deployment and integration into existing systems. Conversely, Oracle Database Cloud Service has a higher ease of setup score of 8.8, but some users mention that the initial configuration can be more time-consuming due to its extensive feature set.
- Reviewers mention that MongoDB's quality of support is rated at 8.5, with many users praising the responsiveness and helpfulness of the support team. Oracle Database Cloud Service, while scoring slightly lower at 8.0, still receives positive feedback, though some users feel that response times could be improved.
Pricing
Entry-Level Pricing
MongoDB
No pricing availableOracle Database Cloud Service
No pricing availableFree Trial
MongoDB
No trial information availableOracle Database Cloud Service
No trial information availableRatings
Meets Requirements
8.8
418
8.7
33
Ease of Use
8.6
419
8.5
33
Ease of Setup
8.4
192
8.9
18
Ease of Admin
8.1
177
8.6
17
Quality of Support
8.5
363
8.0
31
Has the product been a good partner in doing business?
8.5
157
8.4
17
Product Direction (% positive)
9.1
400
7.4
31
Features by Category
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Feature Not Available
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Support
Not enough data
Feature Not Available
Not enough data
Not enough data
Data Management
8.8
90
Not enough data
8.8
91
Not enough data
8.5
84
Not enough data
8.5
82
Not enough data
Availability
8.2
77
Not enough data
8.3
81
Not enough data
8.6
81
Not enough data
Performance
8.6
85
Not enough data
Security
8.4
83
Not enough data
8.7
87
Not enough data
8.5
82
Not enough data
8.6
80
Not enough data
Support
8.6
80
Not enough data
8.9
83
Not enough data
7.9
68
Not enough data
Agentic AI - AWS Marketplace
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Configuration
Not enough data
9.1
15
Not enough data
8.9
15
Not enough data
9.1
15
Not enough data
8.5
14
Not enough data
9.2
13
Database Administration
Not enough data
9.3
14
Not enough data
8.7
13
Not enough data
8.6
14
Availability
Not enough data
9.0
14
Not enough data
8.9
14
Not enough data
9.0
13
Not enough data
9.5
13
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Database Features
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
Categories
Categories
Shared Categories
MongoDB and Oracle Database Cloud Service are categorized as Document Databases
Unique Categories
MongoDB is categorized as AWS Marketplace
Oracle Database Cloud Service is categorized as Database as a Service (DBaaS), Key Value Databases, and Object-Oriented Databases
Reviews
Reviewers' Company Size
MongoDB
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Oracle Database Cloud Service
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
Computer Software
22.8%
Information Technology and Services
20.6%
Internet
5.1%
Financial Services
4.0%
Education Management
3.0%
Other
44.6%
Information Technology and Services
10.0%
Education Management
10.0%
Retail
7.5%
Oil & Energy
7.5%
Transportation/Trucking/Railroad
5.0%
Other
60.0%
Alternatives
Discussions
How to make MongoDB to accept joins
2 Comments
AZ
As MongoDB is a document oriented Database. So data is distributed across different nodes and in order to apply joins, a data should be collected on a...Read more
What is MongoDB used for?
2 Comments
VK
MongoDB is a NoSQL database, that works on concepts of documents, and collections rather than tables and relations. Read more
Oracle Database Cloud Service has no discussions with answers
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