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DBMS > Apache Kylin vs. MarkLogic vs. openGauss vs. Sadas Engine vs. Teradata Aster

System Properties Comparison Apache Kylin vs. MarkLogic vs. openGauss vs. Sadas Engine vs. Teradata Aster

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonMarkLogic  Xexclude from comparisonopenGauss  Xexclude from comparisonSadas Engine  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackOperational and transactional Enterprise NoSQL databaseAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitekylin.apache.orgwww.marklogic.comgitee.com/­opengauss
opengauss.org
www.sadasengine.com
Technical documentationkylin.apache.org/­docsdocs.marklogic.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software Foundation, originally contributed from eBay IncMarkLogic Corp.Huawei and openGauss communitySADAS s.r.l.Teradata
Initial release20152001201920062005
Current release3.1.0, July 202011.0, December 20223.0, March 20228.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial inforestricted free version is availableOpen Sourcecommercial infofree trial version availablecommercial
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++, JavaC++
Server operating systemsLinuxLinux
OS X
Windows
LinuxAIX
Linux
Windows
Linux
Data schemeyesschema-free infoSchema can be enforcedyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.noyesnonoyes infoin Aster File Store
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yes infoSQL92ANSI SQL 2011yesyes
APIs and other access methodsJDBC
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
JDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptyesnoR packages
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACIDACID
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, with Range Indexesnoyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache KylinMarkLogicopenGaussSadas EngineTeradata Aster
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