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DBMS > Apache Phoenix vs. Geode vs. GigaSpaces vs. Greenplum vs. SWC-DB

System Properties Comparison Apache Phoenix vs. Geode vs. GigaSpaces vs. Greenplum vs. SWC-DB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGeode  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGreenplum  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSWide column store
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitephoenix.apache.orggeode.apache.orgwww.gigaspaces.comgreenplum.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationphoenix.apache.orggeode.apache.org/­docsdocs.gigaspaces.com/­latest/­landing.htmldocs.greenplum.org
DeveloperApache Software FoundationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Gigaspaces TechnologiesPivotal Software Inc.Alex Kashirin
Initial release20142002200020052020
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.1, February 201715.5, September 20207.0.0, September 20230.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, C++, .NetC++
Server operating systemsLinux
Unix
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
macOS
Solaris
Windows
LinuxLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono infoXML can be used for describing objects metadatayes infosince Version 4.2no
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesSQL-like query language (OQL)SQL-99 for query and DML statementsyesSQL-like query language
APIs and other access methodsJDBCJava Client API
Memcached protocol
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary protocol
Thrift
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C++
Java
Python
Scala
C
Java
Perl
Python
R
C++
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyesyesno
Triggersnoyes infoCache Event Listenersyes, event driven architectureyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes infoMap-Reduce pattern can be built with XAP task executorsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights per client and object definableRole-based access controlfine grained access rights according to SQL-standard

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