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Compare InterSystems Caché and MongoDB 
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At a Glance
Market Segments
Small-Business (53.8% of reviews)
Small-Business (37.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
InterSystems Caché
Star Rating
(33)4.3 out of 5
Market Segments
Small-Business (53.8% of reviews)
Entry-Level Pricing
No pricing available
Learn more about InterSystems CachéMongoDB
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 MongoDBSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that MongoDB excels in its ease of use with a score of 8.6, making it a preferred choice for developers who appreciate a user-friendly interface, while InterSystems Caché has a lower score of 7.4, indicating a steeper learning curve for new users.
- Reviewers mention that MongoDB's data model flexibility is a standout feature, allowing for dynamic schemas which are particularly beneficial for applications that require rapid iteration, whereas InterSystems Caché offers a more rigid schema that may not suit all use cases.
- G2 users highlight MongoDB's robust auto-sharding capabilities with a score of 8.3, which facilitates horizontal scaling, while InterSystems Caché, although it matches in availability, does not provide the same level of automated scaling features.
- Users on G2 report that both products have strong security features, but MongoDB's role-based authorization and encryption capabilities are rated slightly higher at 8.4 and 8.6 respectively, compared to InterSystems Caché's 8.3 and 8.6, indicating a slight edge in security management.
- Reviewers say that MongoDB's query optimization features, rated at 8.6, significantly enhance performance for complex queries, while InterSystems Caché's query language, although functional, received a lower score of 8.1, suggesting it may not be as efficient for advanced querying needs.
- Users report that MongoDB's built-in search functionality, rated at 8.4, is a valuable asset for applications requiring quick data retrieval, whereas InterSystems Caché lacks a comparable feature, which may limit its effectiveness in search-heavy applications.
Pricing
Entry-Level Pricing
InterSystems Caché
No pricing availableMongoDB
No pricing availableFree Trial
InterSystems Caché
Free Trial is available
MongoDB
No trial information availableRatings
Meets Requirements
8.8
24
8.8
418
Ease of Use
7.4
24
8.6
419
Ease of Setup
7.9
14
8.4
192
Ease of Admin
7.9
14
8.1
177
Quality of Support
8.5
24
8.5
363
Has the product been a good partner in doing business?
8.5
14
8.5
157
Product Direction (% positive)
7.9
22
9.1
400
Features by Category
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
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
Database Features
9.0
15
Not enough data
9.1
15
Not enough data
8.6
14
Not enough data
9.0
13
Not enough data
8.3
15
Not enough data
8.7
14
Not enough data
8.1
15
Not enough data
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
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Support
Feature Not Available
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
8.8
90
Not enough data
8.8
91
Not enough data
8.5
84
Not enough data
8.5
82
Availability
Not enough data
8.2
77
Not enough data
8.3
81
Not enough data
8.6
81
Performance
Not enough data
8.6
85
Security
Not enough data
8.4
83
Not enough data
8.7
87
Not enough data
8.5
82
Not enough data
8.6
80
Support
Not enough data
8.6
80
Not enough data
8.9
83
Not enough data
7.9
68
Agentic AI - AWS Marketplace
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database Features
9.0
15
Not enough data
9.1
15
Not enough data
8.6
14
Not enough data
9.0
13
Not enough data
8.3
15
Not enough data
8.7
14
Not enough data
8.1
15
Not enough data
Categories
Categories
Shared Categories
InterSystems Caché and MongoDB are categorized as Document Databases
Unique Categories
InterSystems Caché is categorized as Object-Oriented Databases, Relational Databases, and Key Value Databases
MongoDB is categorized as AWS Marketplace
Reviews
Reviewers' Company Size
InterSystems Caché
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
MongoDB
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
26.9%
Hospital & Health Care
23.1%
Computer Software
19.2%
Health, Wellness and Fitness
7.7%
Wholesale
3.8%
Other
19.2%
Computer Software
22.8%
Information Technology and Services
20.6%
Internet
5.1%
Financial Services
4.0%
Education Management
3.0%
Other
44.6%
Discussions
Caché database on-line replication
1 Comment
DM
One technology that may help you with it named Mirroring. You can have as many copies of your data as you need, in different datacenters. Link to...Read more
InterSystems Caché has no more discussions with answers
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
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