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

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

Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSiteWhere  Xexclude from comparisonSolr  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionEmbeddable 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 dataA widely used distributed, scalable search engine based on Apache LuceneOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSWide column storeTime Series DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score41.02
Rank#24  Overall
#3  Search engines
Websitegoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­sitewhere/­sitewheresolr.apache.orgyaacomo.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsitewhere1.sitewhere.io/­index.htmlsolr.apache.org/­resources.html
DeveloperGoogleMicrosoftSiteWhereApache Software FoundationQ2WEB GmbH
Initial release20142012201020062009
Current release2.1.12, February 20179.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedLinux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Android
Linux
Windows
Data schemeyesschema-freepredefined schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingyes
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.nononoyesno
Secondary indexesyesnonoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternnonoSolr Parallel SQL Interfaceyes
APIs and other access methodsRESTful HTTP APIHTTP RESTJava API
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesJavaScript.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoJava plugins
TriggersUsing read-only observersnoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infobased on HBaseShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infobased on HBaseyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingnooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBnonoyesyes
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization conceptyesfine grained access rights according to SQL-standard

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More resources
LovefieldMicrosoft Azure Table StorageSiteWhereSolrYaacomo
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