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DBMS > Lovefield vs. OrientDB vs. PouchDB vs. SiteWhere vs. Tkrzw

System Properties Comparison Lovefield vs. OrientDB vs. PouchDB vs. SiteWhere vs. Tkrzw

Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonOrientDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptMulti-model DBMS (Document, Graph, Key/Value)JavaScript DBMS with an API inspired by CouchDBM2M integration platform for persisting/querying time series dataA 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 DBMSDocument store
Graph DBMS
Key-value store
Document storeTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegoogle.github.io/­lovefieldorientdb.orgpouchdb.comgithub.com/­sitewhere/­sitewheredbmx.net/­tkrzw
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.orientdb.com/­docs/­last/­index.htmlpouchdb.com/­guidessitewhere1.sitewhere.io/­index.html
DeveloperGoogleOrientDB LTD; CallidusCloud; SAPApache Software FoundationSiteWhereMikio Hirabayashi
Initial release20142010201220102020
Current release2.1.12, February 20173.2.29, March 20247.1.1, June 20190.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2Open SourceOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaJavaScriptJavaC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAll OS with a Java JDK (>= JDK 6)server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Linux
macOS
Data schemeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-freepredefined schemeschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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 indexesyesyesyes infovia viewsno
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternSQL-like query language, no joinsnonono
APIs and other access methodsTinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP REST
Supported programming languagesJavaScript.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScriptC++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoJava, JavascriptView functions in JavaScriptno
TriggersUsing read-only observersHooksyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queriesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes inforelationship in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByesnoyes infousing specific database classes
User concepts infoAccess controlnoAccess rights for users and roles; record level security configurablenoUsers with fine-grained authorization conceptno

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LovefieldOrientDBPouchDBSiteWhereTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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