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DBMS > Apache Phoenix vs. BaseX vs. Geode vs. Microsoft Azure Table Storage

System Properties Comparison Apache Phoenix vs. BaseX vs. Geode vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBaseX  Xexclude from comparisonGeode  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSNative XML DBMSKey-value storeWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitephoenix.apache.orgbasex.orggeode.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationphoenix.apache.orgdocs.basex.orggeode.apache.org/­docs
DeveloperApache Software FoundationBaseX GmbHOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Microsoft
Initial release2014200720022012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201910.7, August 20231.1, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD licenseOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredhosted
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesyes
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
Secondary indexesyesyesnono
SQL infoSupport of SQLyesnoSQL-like query language (OQL)no
APIs and other access methodsJDBCJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Java Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functionsno
Triggersnoyes infovia eventsyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writeryes, on a single nodeoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers with fine-grained authorization concept on 4 levelsAccess rights per client and object definableAccess rights based on private key authentication or shared access signatures

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Apache PhoenixBaseXGeodeMicrosoft Azure Table Storage
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