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DBMS > Citus vs. Elasticsearch vs. HBase vs. MarkLogic vs. RethinkDB

System Properties Comparison Citus vs. Elasticsearch vs. HBase vs. MarkLogic vs. RethinkDB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonElasticsearch  Xexclude from comparisonHBase  Xexclude from comparisonMarkLogic  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricWide-column store based on Apache Hadoop and on concepts of BigTableOperational and transactional Enterprise NoSQL databaseDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSSearch engineWide column storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Secondary database modelsDocument storeDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score30.50
Rank#26  Overall
#2  Wide column stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score2.74
Rank#105  Overall
#19  Document stores
Websitewww.citusdata.comwww.elastic.co/­elasticsearchhbase.apache.orgwww.marklogic.comrethinkdb.com
Technical documentationdocs.citusdata.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlhbase.apache.org/­book.htmldocs.marklogic.comrethinkdb.com/­docs
DeveloperElasticApache Software Foundation infoApache top-level project, originally developed by PowersetMarkLogic Corp.The Linux Foundation infosince July 2017
Initial release20102010200820012009
Current release8.1, December 20188.6, January 20232.3.4, January 202111.0, December 20222.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoElastic LicenseOpen Source infoApache version 2commercial inforestricted free version is availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJavaC++C++
Server operating systemsLinuxAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free, schema definition possibleschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyesyes infostring, binary, float, bool, date, geometry
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.yes infospecific XML type available, but no XML query functionalitynonoyesno
Secondary indexesyesyes infoAll search fields are automatically indexednoyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query languagenoyes infoSQL92no
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesyes infoCoprocessors in Javayes infovia XQuery or JavaScript
Triggersyesyes infoby using the 'percolation' featureyesyesClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesMulti-source replication
Source-replica replication
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)ACID infocan act as a resource manager in an XA/JTA transactionAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC based
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.noMemcached and Redis integrationyesyes, with Range Indexesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole-based access control at the document and subdocument levelsyes infousers and table-level permissions

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More resources
CitusElasticsearchHBaseMarkLogicRethinkDB
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