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DBMS > CockroachDB vs. Kingbase vs. MarkLogic vs. Teradata Aster

System Properties Comparison CockroachDB vs. Kingbase vs. MarkLogic vs. Teradata Aster

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonKingbase  Xexclude from comparisonMarkLogic  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.
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Operational and transactional Enterprise NoSQL databasePlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websitewww.cockroachlabs.comwww.kingbase.com.cnwww.marklogic.com
Technical documentationwww.cockroachlabs.com/­docsdocs.marklogic.com
DeveloperCockroach LabsBeiJing KINGBASE Information technologies inc.MarkLogic Corp.Teradata
Initial release2015199920012005
Current release23.1.1, May 2023V8.0, August 202111.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and JavaC++
Server operating systemsLinux
macOS
Windows
Linux
Windows
Linux
OS X
Windows
Linux
Data schemedynamic schemayesschema-free infoSchema can be enforcedFlexible 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 dateyesyesyesyes
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.noyesyesyes infoin Aster File Store
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLStandard with numerous extensionsyes infoSQL92yes
APIs and other access methodsJDBCADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
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
OLE DB
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnouser defined functionsyes infovia XQuery or JavaScriptR packages
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFThorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyesyesyes 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 methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infocan act as a resource manager in an XA/JTA transactionACID
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.noyes, with Range Indexesno
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standard

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CockroachDBKingbaseMarkLogicTeradata Aster
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