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DBMS > LevelDB vs. RDFox vs. TigerGraph vs. Tkrzw

System Properties Comparison LevelDB vs. RDFox vs. TigerGraph vs. Tkrzw

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonRDFox  Xexclude from comparisonTigerGraph  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesHigh performance knowledge graph and semantic reasoning engineA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value storeGraph DBMS
RDF store
Graph DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.33
Rank#111  Overall
#19  Key-value stores
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Score1.44
Rank#152  Overall
#14  Graph DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitegithub.com/­google/­leveldbwww.oxfordsemantic.techwww.tigergraph.comdbmx.net/­tkrzw
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.oxfordsemantic.techdocs.tigergraph.com
DeveloperGoogleOxford Semantic TechnologiesMikio Hirabayashi
Initial release2011201720172020
Current release1.23, February 20216.0, Septermber 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBSDcommercialcommercialOpen Source infoApache Version 2.0
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 languageC++C++C++C++
Server operating systemsIllumos
Linux
OS X
Windows
Linux
macOS
Windows
LinuxLinux
macOS
Data schemeschema-freeyes infoRDF schemasyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.nonono
Secondary indexesno
SQL infoSupport of SQLnonoSQL-like query language (GSQL)no
APIs and other access methodsRESTful HTTP API
SPARQL 1.1
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
Java
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonereplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing specific database classes
User concepts infoAccess controlnoRoles, resources, and access typesRole-based access controlno

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More resources
LevelDBRDFoxTigerGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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