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DBMS > LevelDB vs. Quasardb vs. SpatiaLite vs. Tkrzw

System Properties Comparison LevelDB vs. Quasardb vs. SpatiaLite vs. Tkrzw

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSpatiaLite  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 valuesDistributed, high-performance timeseries databaseSpatial extension of SQLiteA 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 storeTime Series DBMSSpatial DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#107  Overall
#19  Key-value stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score1.72
Rank#149  Overall
#3  Spatial DBMS
Score0.09
Rank#354  Overall
#51  Key-value stores
Websitegithub.com/­google/­leveldbquasar.aiwww.gaia-gis.it/­fossil/­libspatialite/­indexdbmx.net/­tkrzw
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddoc.quasar.ai/­masterwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperGooglequasardbAlessandro FurieriMikio Hirabayashi
Initial release2011200920082020
Current release1.23, February 20213.14.1, January 20245.0.0, August 20200.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open 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++C++
Server operating systemsIllumos
Linux
OS X
Windows
BSD
Linux
OS X
Windows
server-lessLinux
macOS
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyes infointeger and binaryyesno
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.nononono
Secondary indexesnoyes infowith tagsyes
SQL infoSupport of SQLnoSQL-like query languageyesno
APIs and other access methodsHTTP API
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoconsistent hashingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with selectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyesyes infousing specific database classes
User concepts infoAccess controlnoCryptographically strong user authentication and audit trailnono

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More resources
LevelDBQuasardbSpatiaLiteTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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