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MongoDB vs. GemFire

MongoDB GemFire + Add column
Preference 37% votes 63% votes
Website www.​mongodb.​org pivotal.​io/​products/​pivotal-gemfire
Database model
Data storage
Embeddable Yes Yes
Query language
Data types
Conditional entry updates Yes Yes
Map and reduce Yes Yes
Unicode Yes Yes
TTL for entries Yes Yes
Compression Yes Yes
Integrity model
Atomicity Conditional Yes
Consistency Yes Yes
Isolation Yes Yes
Durability (data storage) Yes Yes
Transactions Yes Yes
Referential integrity Yes No
Revision control Yes Yes
Locking model
Secondary Indexes Yes Yes
Composite keys Yes Yes
Full text search Yes Yes
Geospatial Indexes Yes Yes
Graph support No No
Horizontal scalable Yes Yes
Replication Yes Yes
Replication mode
Sharding Yes Yes
Shared nothing architecture Yes Yes
Value size max. 16 MB 4 TB
System requirements
Operating system
Native driver
Memory recommended ? 32 GB
Memory minimum ? 10 MB
Programming language
Description Document Oriented Database Highly scalable, elastic data management solution to ensure fast and reliable data access for enterprise and cloud solutions.
Multi-user system Yes Yes
Extension/Plug-in Yes Yes
Multilingual content Yes ?
Price rating ★★★★☆ ★★★★★
WYSIWYG-Editor Yes ?
Multiple projects Yes ?
Standard compliance No Yes
Software distribution
Object-Relational Mapping (ORM) Yes Yes
Release Date March 2009 27ᵗʰ February 2018
Documentation level ★★★★★ ★★★★★
RESTful Yes Yes
Lines of code 617 k ?
Free to use Yes Yes
Active Yes Conditional
Database Connection Pooling Yes Yes
Real time analytics Yes Yes
Community Driven Good Good
Web interface Yes Yes
Data encryption Yes ?
API Good Good
Cloud platform support
Online backup Yes Yes
Admin Generator Yes ?
Partial Index Yes ?
Function Based Index No Yes
Key length max 1 024 50 000
Log Yes Yes
Implementation flexibility 50% votes 50% votes
Download mongodb.​org/​downloads pivotal.​io/​products/​pivotal-gemfire
Level of access authorization ?
Backup functionality Good Good
Query Cache Yes Yes
Ease of use ★★★★★ ★★★★☆
In-Place Update No Yes
Free for commercial use Yes Yes
Sorts Yes Yes
Capped Collections Yes Yes
Tuneable write concerns Yes Yes
Read preferences Yes ?
Open Source Yes Yes
Triggers No Yes
Perfomance ★★★★☆ ★★★★★
Cloud-enabled Yes Yes
Pause Test Yes ?
Cross Domain Testing No Yes
Materialized Views No No
Pipeline Aggregation Yes ?
Spring Data Support Yes Yes
Geospatial Yes Yes
Server Side Java Script Yes No
JSON Yes Yes
Flexible Table(Schema) Yes Yes
Geo-distributed Yes Yes
Max rows in query result 1 000 1 000 000
ORM Join Support Yes ?
Re-Reduce Yes No
Clustering over WAN No Yes
Fully Distributed Yes ?
Stored Procedure No ?
Concurrency Yes Yes
Auto-Sharding Yes Yes
In business since 2009 2002
24/7 support Yes Yes
Free edition Yes Yes
SQL Queries Yes No
Yes ?
Multi-statement Transactions No Yes
memcached protocol No Yes
Does your mom understand it No Yes
Monitoring UI Yes Yes
Network datatype No ?
CLI` Yes Yes
Monitoring and Management
Apache Spark Integration Yes Yes
Point In Time Recovery Yes Yes
Does your boss understand it? Yes Yes
Distributed Counter ? No
Creation Date ? 2003
Widgets Dashboard ? Good
2 Letter Country Code ? US
Geographic Replication ? Yes
Event Driven Architecture ? Yes
Op/s ? 800 000
Maven support ? Yes
Licenses model ?
Predictive Analytics ? Yes
Text Analytics ? Yes
Second Level Caching ? Yes
Ability to link to external programs and systems ? Yes
Contributors ? 85
Delta Update ? Yes
Aggregators ? Yes
Near cache ? Yes
Continuous query ? Yes
HTTP Session replication ? Yes
Number of systems in production ? 10 000
Distributed code Deployment ? Yes
Dynamic code deployment ? Yes
Rolling Upgrade ? Yes
Dynamic index ? Yes
Data Grid interceptors ? Yes
Replication interceptors ? Yes
Kafka Integration ? No
Drools Integration ? No
Storm Integration ? No
Offheap Memory ? Yes
CEP Streaming ? No
Atomic Persistence ? Yes
User and Group role based security model ? Yes
Before and after Data Grid interceptor for every operation ? Yes
Minimum Java version ? 1.8
JSR 107 Compliance ? No
Columner ? No
command-line console ? Yes
Parallel WAN Gateway ? Yes
Active-Active WAN ? Yes
Local Flash Storage support ? Yes
In Memory Data Grid ?
Hadoop Integration ? Yes
Redis API ? Yes
Compute Grid ? Yes
Incremental Backup ? Yes
Performance ? 1 000 000
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MongoDB GemFire
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Reviews & Comments

  • 💬 Comment
    Features quite similiar.
    Distributed Transactions (GF)
    Continuous Queries (GF)
    Pipeline Aggregation(M)
    JSON Resultsets (M)
    Learning Curve (M)
    Scott Nestor28. Jun 2013 / 20:33

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