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DBMS > HBase vs. MarkLogic vs. Microsoft Azure SQL Database vs. Riak TS

System Properties Comparison HBase vs. MarkLogic vs. Microsoft Azure SQL Database vs. Riak TS

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableOperational and transactional Enterprise NoSQL databaseDatabase as a Service offering with high compatibility to Microsoft SQL ServerRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelWide column storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitehbase.apache.orgwww.progress.com/­marklogicazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationhbase.apache.org/­book.htmlwww.progress.com/­marklogic/­documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMarkLogic Corp.MicrosoftOpen Source, formerly Basho Technologies
Initial release2008200120102015
Current release2.3.4, January 202111.0, December 2022V123.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache version 2commercial inforestricted free version is availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++Erlang
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
hostedLinux
OS X
Data schemeschema-free, schema definition possibleschema-free infoSchema can be enforcedyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesno
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.noyesyesno
Secondary indexesnoyesyesrestricted
SQL infoSupport of SQLnoyes infoSQL92yesyes, limited
APIs and other access methodsJava 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
ADO.NET
JDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infovia XQuery or JavaScriptTransact SQLErlang
Triggersyesyesyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes, with always 3 replicas availableselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes 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 integritynonoyesno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACID infocan act as a resource manager in an XA/JTA transactionACIDno
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 Indexes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standardno

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More resources
HBaseMarkLogicMicrosoft Azure SQL Database infoformerly SQL AzureRiak TS
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