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DBMS > SiteWhere vs. Spark SQL vs. SpatiaLite vs. TerminusDB

System Properties Comparison SiteWhere vs. Spark SQL vs. SpatiaLite vs. TerminusDB

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Editorial information provided by DB-Engines
NameSiteWhere  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionM2M integration platform for persisting/querying time series dataSpark SQL is a component on top of 'Spark Core' for structured data processingSpatial extension of SQLiteScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelTime Series DBMSRelational DBMSSpatial DBMSGraph DBMS
Secondary database modelsRelational DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitegithub.com/­sitewhere/­sitewherespark.apache.org/­sqlwww.gaia-gis.it/­fossil/­libspatialite/­indexterminusdb.com
Technical documentationsitewhere1.sitewhere.io/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlterminusdb.github.io/­terminusdb/­#
DeveloperSiteWhereApache Software FoundationAlessandro FurieriDataChemist Ltd.
Initial release2010201420082018
Current release3.5.0 ( 2.13), September 20235.0.0, August 202011.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC++Prolog, Rust
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
server-lessLinux
Data schemepredefined schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesnonoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesSQL-like query language (WOQL)
APIs and other access methodsHTTP RESTJDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesJava
Python
R
Scala
JavaScript
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBaseyes, utilizing Spark CorenoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBasenonenoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization conceptnonoRole-based access control

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More resources
SiteWhereSpark SQLSpatiaLiteTerminusDB infoformer name was DataChemist
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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