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

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

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonKeyDB  Xexclude from comparisonLovefield  Xexclude from comparisonPlanetScale  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 scaleAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsEmbeddable relational database for web apps written in pure JavaScriptScalable, distributed, serverless MySQL database platform built on top of VitessA 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 DBMSKey-value storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegeospock.comgithub.com/­Snapchat/­KeyDB
keydb.dev
google.github.io/­lovefieldplanetscale.comgithub.com/­bytedance/­terarkdb
Technical documentationdocs.keydb.devgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdplanetscale.com/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGeoSpockEQ Alpha Technology Ltd.GooglePlanetScaleByteDance, originally Terark
Initial release2019201420202016
Current release2.0, September 20192.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3Open Source infoApache 2.0commercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC++JavaScriptGoC++
Server operating systemshostedLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariDocker
Linux
macOS
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyesno
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, categoricalyes infoby using the Redis Search moduleyesyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)noSQL-like query language infovia JavaScript builder patternyes infowith proprietary extensionsno
APIs and other access methodsJDBCProprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
MySQL protocol
ODBC
C++ API
Java API
Supported programming languagesC
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
JavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
Server-side scripts infoStored proceduresnoLuanoyes infoproprietary syntaxno
TriggersnonoUsing read-only observersyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsACIDACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDByesyes
User concepts infoAccess controlAccess rights for users can be defined per tablesimple password-based access control and ACLnoUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
GeoSpockKeyDBLovefieldPlanetScaleTerarkDB
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