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DBMS > CockroachDB vs. Hive vs. Kingbase vs. SQLite

System Properties Comparison CockroachDB vs. Hive vs. Kingbase vs. SQLite

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonHive  Xexclude from comparisonKingbase  Xexclude from comparisonSQLite  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.data warehouse software for querying and managing large distributed datasets, built on HadoopAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Widely used embeddable, in-process RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational 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
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitewww.cockroachlabs.comhive.apache.orgwww.kingbase.com.cnwww.sqlite.org
Technical documentationwww.cockroachlabs.com/­docscwiki.apache.org/­confluence/­display/­Hive/­Homewww.sqlite.org/­docs.html
DeveloperCockroach LabsApache Software Foundation infoinitially developed by FacebookBeiJing KINGBASE Information technologies inc.Dwayne Richard Hipp
Initial release2015201219992000
Current release24.1.0, May 20243.1.3, April 2022V8.0, August 20213.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoApache Version 2commercialOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC and JavaC
Server operating systemsLinux
macOS
Windows
All OS with a Java VMLinux
Windows
server-less
Data schemedynamic schemayesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesyes infonot rigid because of 'dynamic typing' concept.
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLSQL-like DML and DDL statementsStandard with numerous extensionsyes infoSQL-92 is not fully supported
APIs and other access methodsJDBCJDBC
ODBC
Thrift
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C++
Java
PHP
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceuser defined functionsno
Triggersnonoyesyes
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 RAFTShardinghorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTselectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
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
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardno

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