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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. Geode vs. Greenplum vs. SWC-DB

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

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGeode  Xexclude from comparisonGreenplum  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA 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 processesAnalytic 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 modelDocument storeRelational DBMSKey-value storeRelational DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteaws.amazon.com/­documentdbphoenix.apache.orggeode.apache.orggreenplum.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orggeode.apache.org/­docsdocs.greenplum.org
DeveloperApache Software FoundationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Pivotal Software Inc.Alex Kashirin
Initial release20192014200220052020
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.1, February 20177.0.0, September 20230.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemshostedLinux
Unix
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-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.nononoyes infosince Version 4.2no
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesSQL-like query language (OQL)yesSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
Java
Perl
Python
R
C++
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsyesno
Triggersnonoyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDyes, on a single nodeACID
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.yesyesnono
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights per client and object definablefine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBApache PhoenixGeodeGreenplumSWC-DB infoSuper Wide Column Database
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