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DBMS > GeoSpock vs. Lovefield vs. Microsoft Azure SQL Database vs. TerarkDB vs. Tkrzw

System Properties Comparison GeoSpock vs. Lovefield vs. Microsoft Azure SQL Database vs. TerarkDB vs. Tkrzw

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTerarkDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleEmbeddable relational database for web apps written in pure JavaScriptDatabase as a Service offering with high compatibility to Microsoft SQL ServerA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA 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 DBMSRelational DBMSRelational DBMSKey-value storeKey-value store
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegeospock.comgoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­bytedance/­terarkdbdbmx.net/­tkrzw
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­en-us/­azure/­azure-sqlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGeoSpockGoogleMicrosoftByteDance, originally TerarkMikio Hirabayashi
Initial release2014201020162020
Current release2.0, September 20192.1.12, February 2017V120.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial inforestricted open source version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaScriptC++C++C++
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedLinux
macOS
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.nonoyesnono
Secondary indexestemporal, categoricalyesyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like query language infovia JavaScript builder patternyesnono
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
C++ API
Java API
Supported programming languagesJavaScript.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonoTransact SQLnono
TriggersnoUsing read-only observersyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, with always 3 replicas availablenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users can be defined per tablenofine grained access rights according to SQL-standardnono

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More resources
GeoSpockLovefieldMicrosoft Azure SQL Database infoformerly SQL AzureTerarkDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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