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DBMS > EventStoreDB vs. gStore vs. LevelDB vs. Tkrzw

System Properties Comparison EventStoreDB vs. gStore vs. LevelDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisongStore  Xexclude from comparisonLevelDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.A native Graph DBMS to store and maintain very large RDF datasets.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA 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 modelEvent StoreGraph DBMS
RDF store
Key-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#181  Overall
#1  Event Stores
Score0.03
Rank#367  Overall
#37  Graph DBMS
#18  RDF stores
Score2.33
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitewww.eventstore.comen.gstore.cngithub.com/­google/­leveldbdbmx.net/­tkrzw
Technical documentationdevelopers.eventstore.comen.gstore.cn/­#/­enDocsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperEvent Store LimitedGoogleMikio Hirabayashi
Initial release2012201620112020
Current release21.2, February 20211.2, November 20231.23, February 20210.9.3, August 2020
License infoCommercial or Open SourceOpen SourceOpen Source infoBSDOpen Source infoBSDOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsLinux
Windows
LinuxIllumos
Linux
OS X
Windows
Linux
macOS
Data schemeschema-free and OWL/RDFS-schema supportschema-freeschema-free
Typing infopredefined data types such as float or dateyesnono
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 SQLnonono
APIs and other access methodsHTTP API
SPARQL 1.1
Supported programming languagesC++
Java
JavaScript (Node.js)
PHP
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing specific database classes
User concepts infoAccess controlUsers, roles and permissions, Role-Based Access Control (RBAC) supportednono

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More resources
EventStoreDBgStoreLevelDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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