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DBMS > Apache Phoenix vs. MarkLogic vs. Microsoft Azure Table Storage vs. Splunk

System Properties Comparison Apache Phoenix vs. MarkLogic vs. Microsoft Azure Table Storage vs. Splunk

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseOperational and transactional Enterprise NoSQL databaseA Wide Column Store for rapid development using massive semi-structured datasetsAnalytics Platform for Big Data
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Wide column storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score4.48
Rank#75  Overall
#6  Wide column stores
Score86.45
Rank#14  Overall
#2  Search engines
Websitephoenix.apache.orgwww.marklogic.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.splunk.com
Technical documentationphoenix.apache.orgdocs.marklogic.comdocs.splunk.com/­Documentation/­Splunk
DeveloperApache Software FoundationMarkLogic Corp.MicrosoftSplunk Inc.
Initial release2014200120122003
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201911.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial inforestricted free version is availablecommercialcommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-free infoSchema can be enforcedschema-freeyes
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.noyesnoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyes infoSQL92nono infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBCJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP APIHTTP REST
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes infovia XQuery or JavaScriptnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionoptimistic lockingno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
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.yesyes, with Range Indexesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRole-based access control at the document and subdocument levelsAccess rights based on private key authentication or shared access signaturesAccess rights for users and roles

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More resources
Apache PhoenixMarkLogicMicrosoft Azure Table StorageSplunk
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