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DBMS > GeoSpock vs. Hive vs. KeyDB vs. Lovefield vs. TerarkDB

System Properties Comparison GeoSpock vs. Hive vs. KeyDB vs. Lovefield vs. TerarkDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHive  Xexclude from comparisonKeyDB  Xexclude from comparisonLovefield  Xexclude from comparisonTerarkDB  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 scaledata warehouse software for querying and managing large distributed datasets, built on HadoopAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsEmbeddable relational database for web apps written in pure JavaScriptA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegeospock.comhive.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
google.github.io/­lovefieldgithub.com/­bytedance/­terarkdb
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.keydb.devgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGeoSpockApache Software Foundation infoinitially developed by FacebookEQ Alpha Technology Ltd.GoogleByteDance, originally Terark
Initial release2012201920142016
Current release2.0, September 20193.1.3, April 20222.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoBSD-3Open Source infoApache 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaC++JavaScriptC++
Server operating systemshostedAll OS with a Java VMLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesno
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 indexestemporal, categoricalyesyes infoby using the Redis Search moduleyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like DML and DDL statementsnoSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsJDBCJDBC
ODBC
Thrift
Proprietary protocol infoRESP - REdis Serialization ProtocoC++ API
Java API
Supported programming languagesC++
Java
PHP
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
JavaScriptC++
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceLuanono
TriggersnononoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoOptimistic locking, atomic execution of commands blocks and scriptsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDByes
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users, groups and rolessimple password-based access control and ACLnono

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More resources
GeoSpockHiveKeyDBLovefieldTerarkDB
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