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DBMS > CockroachDB vs. Kinetica vs. MarkLogic vs. RethinkDB

System Properties Comparison CockroachDB vs. Kinetica vs. MarkLogic vs. RethinkDB

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonKinetica  Xexclude from comparisonMarkLogic  Xexclude from comparisonRethinkDB  Xexclude from comparison
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.Fully vectorized database across both GPUs and CPUsOperational and transactional Enterprise NoSQL databaseDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score2.66
Rank#107  Overall
#20  Document stores
Websitewww.cockroachlabs.comwww.kinetica.comwww.progress.com/­marklogicrethinkdb.com
Technical documentationwww.cockroachlabs.com/­docsdocs.kinetica.comwww.progress.com/­marklogic/­documentationrethinkdb.com/­docs
DeveloperCockroach LabsKineticaMarkLogic Corp.The Linux Foundation infosince July 2017
Initial release2015201220012009
Current release24.1.0, May 20247.1, August 202111.0, December 20222.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercialcommercial inforestricted free version is availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++C++C++
Server operating systemsLinux
macOS
Windows
LinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemedynamic schemayesschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometry
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLSQL-like DML and DDL statementsyes infoSQL92no
APIs and other access methodsJDBCJDBC
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
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresnouser defined functionsyes infovia XQuery or JavaScript
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesClient-side triggers through changefeeds
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 RAFTShardingShardingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transactionAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
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 infoGPU vRAM or System RAMyes, with Range Indexesno
User concepts infoAccess controlRole-based access controlAccess rights for users and roles on table levelRole-based access control at the document and subdocument levelsyes infousers and table-level permissions

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CockroachDBKineticaMarkLogicRethinkDB
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