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DBMS > Apache Impala vs. Kingbase vs. LeanXcale vs. OceanBase

System Properties Comparison Apache Impala vs. Kingbase vs. LeanXcale vs. OceanBase

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonKingbase  Xexclude from comparisonLeanXcale  Xexclude from comparisonOceanBase  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA distributed, high available RDBMS compatible with Oracle and MySQL
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Websiteimpala.apache.orgwww.kingbase.com.cnwww.leanxcale.comen.oceanbase.com
Technical documentationimpala.apache.org/­impala-docs.htmlen.oceanbase.com/­docs/­oceanbase-database
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBeiJing KINGBASE Information technologies inc.LeanXcaleOceanBase infopreviously Alibaba and Ant Group
Initial release2013199920152010
Current release4.1.0, June 2022V8.0, August 20214.3.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoCommercial license available
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++
Server operating systemsLinuxLinux
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsStandard with numerous extensionsyes infothrough Apache Derbyyes
APIs and other access methodsJDBC
ODBC
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
Java
Scala
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioninghorizontal partitioning (by hash, key, range, range columns, list, and list columns)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache ImpalaKingbaseLeanXcaleOceanBase
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