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DBMS > Hive vs. MarkLogic vs. RDF4J vs. Sadas Engine vs. SingleStore

System Properties Comparison Hive vs. MarkLogic vs. RDF4J vs. Sadas Engine vs. SingleStore

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMarkLogic  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSadas Engine  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopOperational and transactional Enterprise NoSQL databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
RDF storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websitehive.apache.orgwww.marklogic.comrdf4j.orgwww.sadasengine.comwww.singlestore.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.marklogic.comrdf4j.org/­documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.singlestore.com
DeveloperApache Software Foundation infoinitially developed by FacebookMarkLogic Corp.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.SADAS s.r.l.SingleStore Inc.
Initial release20122001200420062013
Current release3.1.3, April 202211.0, December 20228.08.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial inforestricted free version is availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infofree trial version availablecommercial infofree developer edition available
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.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaC++JavaC++C++, Go
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
OS X
Unix
Windows
AIX
Linux
Windows
Linux info64 bit version required
Data schemeyesschema-free infoSchema can be enforcedyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL92noyesyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
ODBC
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
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Proprietary protocol
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC++
Java
PHP
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
PHP
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infovia XQuery or JavaScriptyesnoyes
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioningSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnonenoneSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlAccess rights for users, groups and rolesRole-based access control at the document and subdocument levelsnoAccess rights for users, groups and roles according to SQL-standardFine grained access control via users, groups and roles
More information provided by the system vendor
HiveMarkLogicRDF4J infoformerly known as SesameSadas EngineSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
HiveMarkLogicRDF4J infoformerly known as SesameSadas EngineSingleStore infoformer name was MemSQL
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