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DBMS > Apache Impala vs. Kingbase vs. OrigoDB vs. RethinkDB

System Properties Comparison Apache Impala vs. Kingbase vs. OrigoDB vs. RethinkDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonKingbase  Xexclude from comparisonOrigoDB  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A fully ACID in-memory object graph databaseDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Document store
Secondary database modelsDocument storeDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Websiteimpala.apache.orgwww.kingbase.com.cnorigodb.comrethinkdb.com
Technical documentationimpala.apache.org/­impala-docs.htmlorigodb.com/­docsrethinkdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBeiJing KINGBASE Information technologies inc.Robert Friberg et alThe Linux Foundation infosince July 2017
Initial release201319992009 infounder the name LiveDB2009
Current release4.1.0, June 2022V8.0, August 20212.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and JavaC#C++
Server operating systemsLinuxLinux
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes 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.noyesno infocan be achieved using .NETno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsStandard with numerous extensionsnono
APIs and other access methodsJDBC
ODBC
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
.NET Client API
HTTP API
LINQ
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.NetC 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 proceduresyes infouser defined functions and integration of map-reduceuser defined functionsyes
Triggersnoyesyes infoDomain EventsClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioninghorizontal partitioning infoclient side managed; servers are not synchronizedSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardRole based authorizationyes infousers and table-level permissions

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More resources
Apache ImpalaKingbaseOrigoDBRethinkDB
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