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Compare GigaSpaces and MongoDB 
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At a Glance
Market Segments
Enterprise (50.0% of reviews)
Small-Business (37.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
GigaSpaces
Star Rating
(15)4.5 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about GigaSpacesMongoDB
Star Rating
(539)4.5 out of 5
Market Segments
Small-Business (37.8% of reviews)
Pros & Cons
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 data model flexibility, with a rating of 8.8, allowing for a variety of data types and structures, while GigaSpaces, although strong, has a slightly lower rating in this area.
- Reviewers mention that MongoDB's auto-sharding feature, rated at 8.3, provides seamless scalability for large datasets, whereas GigaSpaces offers robust data replication capabilities with a higher rating of 8.7, making it a strong choice for high availability.
- G2 users highlight MongoDB's built-in search functionality, rated at 8.4, which enhances data retrieval efficiency, while GigaSpaces users appreciate its performance optimization features, particularly in query optimization, which is rated at 8.6.
- Users on G2 report that MongoDB's ease of use is rated at 8.6, making it accessible for developers, while GigaSpaces, with a slightly lower ease of use rating of 8.3, may require more technical expertise to fully leverage its capabilities.
- Reviewers mention that MongoDB's quality of support is rated at 8.5, indicating a strong customer service experience, while GigaSpaces, with a rating of 8.3, still provides solid support but may not match the responsiveness of MongoDB.
- Users say that MongoDB's product direction is rated at 9.1, reflecting a positive outlook for future developments, while GigaSpaces boasts a perfect score of 10.0, indicating a strong commitment to innovation and user needs.
Pricing
Entry-Level Pricing
GigaSpaces
No pricing availableMongoDB
No pricing availableFree Trial
GigaSpaces
Free Trial is available
MongoDB
No trial information availableRatings
Meets Requirements
8.6
7
8.8
418
Ease of Use
8.3
7
8.6
419
Ease of Setup
Not enough data
8.4
192
Ease of Admin
Not enough data
8.1
177
Quality of Support
8.3
7
8.5
363
Has the product been a good partner in doing business?
Not enough data
8.5
157
Product Direction (% positive)
10.0
5
9.1
400
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
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
Support
Not enough data
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
Statistical Tool
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Decision Making
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Database
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integrations
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
Processing
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
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
GigaSpaces and MongoDB are categorized as Document Databases
Unique Categories
GigaSpaces is categorized as Stream Analytics, Big Data Processing and Distribution, Predictive Analytics, Key Value Databases, and Object-Oriented Databases
MongoDB is categorized as AWS Marketplace
Reviews
Reviewers' Company Size
GigaSpaces
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
Internet
16.7%
Automotive
16.7%
Retail
8.3%
Investment Banking
8.3%
Information Technology and Services
8.3%
Other
41.7%
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
GigaSpaces has no 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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