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Berkeley DB vs. GemFire

Berkeley DB GemFire + Add column
Category
Preference (44% global votes) (58% global votes)
Website www.​oracle.​com/​database/​b…b/​index.​html pivotal.​io/​products/​pivotal-gemfire
License
Design
Database model
Data storage
Embeddable Yes Yes
Features
Query language
Data types ?
Conditional entry updates Yes Yes
Map and reduce No Yes
Unicode Yes Yes
TTL for entries No Yes
Compression Yes Yes
Integrity
Integrity model
Atomicity Yes Yes
Consistency Yes Yes
Isolation Yes Yes
Durability (data storage) Yes Yes
Transactions Yes Yes
Referential integrity No Yes
Revision control ? Yes
Locking model ?
Indexing
Secondary Indexes Yes Yes
Composite keys Yes Yes
Full text search Yes No
Geospatial Indexes No Yes
Graph support No Yes
Distribution
Horizontal scalable Yes Yes
Replication Yes Yes
Replication mode
Sharding No Yes
Shared nothing architecture ? Yes
Restrictions
Value size max. 4 GB 204 EB
System requirements
Operating system
Native driver
Memory minimum ? 2 GB
Architecture
Programming language
More
Description key/value database Highly scalable, elastic data management solution to ensure fast and reliable data access for enterprise and cloud solutions.
Brand
Multi-user system Yes Yes
Documentation level ★★★★☆ ★★★★☆
Lines of code 1 748 k ?
Distributed Counter Yes ?
Free to use Yes Conditional
Active Yes Yes
Creation Date 1994 2004
Log Yes Yes
Download www.​oracle.​com/​technetwor…iteId=ocomen pivotal.​io/​products/​pivotal-gemfire
Free for commercial use No Yes
Sorts Yes Yes
Corruption Resistant No ?
Extension/Plug-in ? No
Database ?
Price rating ? ★★★★☆
Standard compliance ? Yes
Software distribution ?
Object-Relational Mapping (ORM) ? Yes
Release Date ? 2014
RESTful ? Yes
Database Connection Pooling ? Yes
Real time analytics ? Yes
Community Driven ? Good
Web interface ? Yes
Widgets Dashboard ? Good
API ? Good
2 Letter Country Code ? US
Cloud platform support ?
Online backup ? Yes
Function Based Index ? Yes
Key length max ? 50 000
Implementation flexibility (0% global votes) (57% global votes)
Backup functionality ? Good
Query Cache ? Yes
Ease of use ? ★★☆☆☆
In-Place Update ? Yes
Capped Collections ? No
Tuneable write concerns ? Yes
Event Driven Architecture ? Yes
Open Source ? Yes
Op/s ? 99 999 999
Maven support ? Yes
Triggers ? Yes
Perfomance ? ★★★★★
Cross Domain Testing ? Yes
Pipeline Aggregation ? No
Spring Data Support ? Yes
Predictive Analytics ? Yes
Geospatial ? Yes
Server Side Java Script ? Yes
JSON ? Yes
Flexible Table(Schema) ? Yes
Geo-distributed ? Yes
Max rows in query result ? 1 000 000
ORM Join Support ? Yes
Clustering over WAN ? Yes
Stored Procedure ? Yes
Second Level Caching ? Yes
Auto-Sharding ? Yes
Near cache ? Yes
Continuous query ? Yes
HTTP Session replication ? Yes
In business since ? 2002
24/7 support ? Yes
Free edition ? Yes
Distributed code Deployment ? No
Dynamic code deployment ? No
Rolling Upgrade ? No
Data Grid interceptors ? Yes
Replication interceptors ? Yes
Kafka Integration ? No
Drools Integration ? No
Storm Integration ? No
Websphere Dyna Cache Integration ? No
CEP Streaming ? No
SQL Queries ? Yes
Atomic Persistence ? No
User and Group role based security model ? No
Before and after Data Grid interceptor for every operation ? No
memcached protocol ? Yes
JSR 107 Compliance ? No
Monitoring UI ? Yes
Parallel WAN Gateway ? Yes
Active-Active WAN ? Yes
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Berkeley DB GemFire
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