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DBMS > Alibaba Cloud Table Store vs. Lovefield vs. SiteWhere vs. Solr vs. Yaacomo

System Properties Comparison Alibaba Cloud Table Store vs. Lovefield vs. SiteWhere vs. Solr vs. Yaacomo

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonLovefield  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
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessEmbeddable relational database for web apps written in pure JavaScriptM2M 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 modelWide column storeRelational DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.alibabacloud.com/­product/­table-storegoogle.github.io/­lovefieldgithub.com/­sitewhere/­sitewheresolr.apache.orgyaacomo.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoregithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsitewhere1.sitewhere.io/­index.htmlsolr.apache.org/­resources.html
DeveloperAlibabaGoogleSiteWhereApache Software FoundationQ2WEB GmbH
Initial release20162014201020062009
Current release2.1.12, February 20179.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaJava
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
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 schemeschema-freeyespredefined 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 indexesnoyesnoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternnoSolr Parallel SQL Interfaceyes
APIs and other access methodsHTTP APIHTTP RESTJava API
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesJava
Python
JavaScript.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
TriggersnoUsing read-only observersyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneSharding infobased on HBaseShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneselectable 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 integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, 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.noyes infousing MemoryDBnoyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensnoUsers with fine-grained authorization conceptyesfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud Table StoreLovefieldSiteWhereSolrYaacomo
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