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DBMS > KeyDB vs. Lovefield vs. Microsoft Azure Table Storage vs. SiteWhere vs. Yaacomo

System Properties Comparison KeyDB vs. Lovefield vs. Microsoft Azure Table Storage vs. SiteWhere vs. Yaacomo

Editorial information provided by DB-Engines
NameKeyDB  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSiteWhere  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsEmbeddable relational database for web apps written in pure JavaScriptA Wide Column Store for rapid development using massive semi-structured datasetsM2M integration platform for persisting/querying time series dataOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeRelational DBMSWide column storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitegithub.com/­Snapchat/­KeyDB
keydb.dev
google.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­sitewhere/­sitewhereyaacomo.com
Technical documentationdocs.keydb.devgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsitewhere1.sitewhere.io/­index.html
DeveloperEQ Alpha Technology Ltd.GoogleMicrosoftSiteWhereQ2WEB GmbH
Initial release20192014201220102009
Current release2.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoBSD-3Open Source infoApache 2.0commercialOpen Source infoCommon Public Attribution License Version 1.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScriptJava
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedLinux
OS X
Windows
Android
Linux
Windows
Data schemeschema-freeyesschema-freepredefined schemeyes
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 indexesyesyesyesyes
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.nonononono
Secondary indexesyes infoby using the Redis Search moduleyesnonoyes
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternnonoyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP APIHTTP RESTJDBC
ODBC
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
JavaScript.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresLuanono
TriggersnoUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud serviceSharding infobased on HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infobased on HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataOptimistic locking, atomic execution of commands blocks and scriptsACIDoptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBnonoyes
User concepts infoAccess controlsimple password-based access control and ACLnoAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
KeyDBLovefieldMicrosoft Azure Table StorageSiteWhereYaacomo
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