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DBMS > Faircom DB vs. PouchDB vs. RDFox vs. SiteWhere

System Properties Comparison Faircom DB vs. PouchDB vs. RDFox vs. SiteWhere

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonPouchDB  Xexclude from comparisonRDFox  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.JavaScript DBMS with an API inspired by CouchDBHigh performance knowledge graph and semantic reasoning engineM2M integration platform for persisting/querying time series data
Primary database modelKey-value store
Relational DBMS
Document storeGraph DBMS
RDF store
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.faircom.com/­products/­faircom-dbpouchdb.comwww.oxfordsemantic.techgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlpouchdb.com/­guidesdocs.oxfordsemantic.techsitewhere1.sitewhere.io/­index.html
DeveloperFairCom CorporationApache Software FoundationOxford Semantic TechnologiesSiteWhere
Initial release1979201220172010
Current releaseV12, November 20207.1.1, June 20196.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen SourcecommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++JavaScriptC++Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema free, schema optional, schema required, partial schema,schema-freeyes infoRDF schemaspredefined scheme
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresnoyesyes
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.nonono
Secondary indexesyesyes infovia viewsno
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsnonono
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
SPARQL 1.1
HTTP REST
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
JavaScriptC
Java
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++View functions in JavaScript
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infowith a proxy-based framework, named couchdb-loungeSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
replication via a shared file systemselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyes 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.yesyesyesno
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesnoRoles, resources, and access typesUsers with fine-grained authorization concept

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More resources
Faircom DB infoformerly c-treeACEPouchDBRDFoxSiteWhere
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