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DBMS > KeyDB vs. Lovefield vs. Sphinx vs. Transwarp ArgoDB

System Properties Comparison KeyDB vs. Lovefield vs. Sphinx vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameKeyDB  Xexclude from comparisonLovefield  Xexclude from comparisonSphinx  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsEmbeddable relational database for web apps written in pure JavaScriptOpen source search engine for searching in data from different sources, e.g. relational databasesDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelKey-value storeRelational DBMSSearch engineRelational DBMS
Secondary database modelsSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.63
Rank#232  Overall
#32  Key-value stores
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score0.04
Rank#361  Overall
#153  Relational DBMS
Websitegithub.com/­Snapchat/­KeyDB
keydb.dev
google.github.io/­lovefieldsphinxsearch.comwww.transwarp.cn/­en/­product/­argodb
Technical documentationdocs.keydb.devgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsphinxsearch.com/­docsdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperEQ Alpha Technology Ltd.GoogleSphinx Technologies Inc.Transwarp
Initial release201920142001
Current release2.1.12, February 20173.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoBSD-3Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScriptC++
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datepartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesnoyes
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.nono
Secondary indexesyes infoby using the Redis Search moduleyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternSQL-like query language (SphinxQL)yes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocoProprietary protocol
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
JavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresLuanono
TriggersnoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataOptimistic locking, atomic execution of commands blocks and scriptsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDB
User concepts infoAccess controlsimple password-based access control and ACLnono

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More resources
KeyDBLovefieldSphinxTranswarp ArgoDB
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