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DBMS > FeatureBase vs. H2GIS vs. LevelDB vs. Tkrzw

System Properties Comparison FeatureBase vs. H2GIS vs. LevelDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonH2GIS  Xexclude from comparisonLevelDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Spatial extension of H2Embeddable 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 modelRelational DBMSSpatial DBMSKey-value storeKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitewww.featurebase.comwww.h2gis.orggithub.com/­google/­leveldbdbmx.net/­tkrzw
Technical documentationdocs.featurebase.comwww.h2gis.org/­docs/­homegithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperMolecula and Pilosa Open Source ContributorsCNRSGoogleMikio Hirabayashi
Initial release2017201320112020
Current release2022, May 20221.23, February 20210.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoLGPL 3.0Open 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 languageGoJavaC++C++
Server operating systemsLinux
macOS
Illumos
Linux
OS X
Windows
Linux
macOS
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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 indexesnoyesno
SQL infoSupport of SQLSQL queriesyesnono
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Supported programming languagesJava
Python
JavaC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infobased on H2nono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on H2nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing specific database classes
User concepts infoAccess controlyes infobased on H2nono

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FeatureBaseH2GISLevelDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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