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DBMS > Kingbase vs. LMDB vs. Oracle Rdb vs. RDFox vs. Solr

System Properties Comparison Kingbase vs. LMDB vs. Oracle Rdb vs. RDFox vs. Solr

Editorial information provided by DB-Engines
NameKingbase  Xexclude from comparisonLMDB  Xexclude from comparisonOracle Rdb  Xexclude from comparisonRDFox  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A high performant, light-weight, embedded key-value database libraryHigh performance knowledge graph and semantic reasoning engineA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSKey-value storeRelational DBMSGraph DBMS
RDF store
Search engine
Secondary database modelsDocument store
Spatial DBMS
Relational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.kingbase.com.cnwww.symas.com/­symas-embedded-database-lmdbwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.oxfordsemantic.techsolr.apache.org
Technical documentationwww.lmdb.tech/­docwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldocs.oxfordsemantic.techsolr.apache.org/­resources.html
DeveloperBeiJing KINGBASE Information technologies inc.SymasOracle, originally developed by Digital Equipment Corporation (DEC)Oxford Semantic TechnologiesApache Software Foundation
Initial release19992011198420172006
Current releaseV8.0, August 20210.9.32, January 20247.4.1.1, 20216.0, Septermber 20229.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen SourcecommercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and JavaCC++Java
Server operating systemsLinux
Windows
Linux
Unix
Windows
HP Open VMSLinux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yes infoRDF schemasyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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.yesnonoyes
Secondary indexesyesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLStandard with numerous extensionsnoyesnoSolr Parallel SQL Interface
APIs and other access methodsADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
RESTful HTTP API
SPARQL 1.1
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C
Java
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnoJava plugins
Triggersyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonereplication via a shared file systemyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRoles, resources, and access typesyes

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KingbaseLMDBOracle RdbRDFoxSolr
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