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DBMS > Apache Druid vs. Kinetica vs. MarkLogic vs. Oracle Rdb vs. Sadas Engine

System Properties Comparison Apache Druid vs. Kinetica vs. MarkLogic vs. Oracle Rdb vs. Sadas Engine

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonKinetica  Xexclude from comparisonMarkLogic  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFully vectorized database across both GPUs and CPUsOperational and transactional Enterprise NoSQL databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitedruid.apache.orgwww.kinetica.comwww.marklogic.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.sadasengine.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.kinetica.comdocs.marklogic.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software Foundation and contributorsKineticaMarkLogic Corp.Oracle, originally developed by Digital Equipment Corporation (DEC)SADAS s.r.l.
Initial release20122012200119842006
Current release29.0.1, April 20247.1, August 202111.0, December 20227.4.1.1, 20218.0
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial inforestricted free version is availablecommercialcommercial infofree trial version 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.
Implementation languageJavaC, C++C++C++
Server operating systemsLinux
OS X
Unix
LinuxLinux
OS X
Windows
HP Open VMSAIX
Linux
Windows
Data schemeyes infoschema-less columns are supportedyesschema-free infoSchema can be enforcedFlexible Schema (defined schema, partial schema, schema free)yes
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.nonoyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL for queryingSQL-like DML and DDL statementsyes infoSQL92yesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
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
JDBC
ODBC
Proprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsyes infovia XQuery or JavaScriptno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infocan act as a resource manager in an XA/JTA transactionyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyes infoGPU vRAM or System RAMyes, with Range Indexesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and roles on table levelRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache DruidKineticaMarkLogicOracle RdbSadas Engine
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