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DBMS > SiteWhere vs. SpaceTime vs. Spark SQL

System Properties Comparison SiteWhere vs. SpaceTime vs. Spark SQL

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Editorial information provided by DB-Engines
NameSiteWhere  Xexclude from comparisonSpaceTime  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionM2M integration platform for persisting/querying time series dataSpaceTime is a spatio-temporal DBMS with a focus on performance.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#367  Overall
#36  Time Series DBMS
Score0.00
Rank#396  Overall
#8  Spatial DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­sitewhere/­sitewherewww.mireo.com/­spacetimespark.apache.org/­sql
Technical documentationsitewhere1.sitewhere.io/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSiteWhereMireoApache Software Foundation
Initial release201020202014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoCommon Public Attribution License Version 1.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Scala
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemepredefined schemeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnonono
SQL infoSupport of SQLnoA subset of ANSI SQL is implementedSQL-like DML and DDL statements
APIs and other access methodsHTTP RESTRESTful HTTP APIJDBC
ODBC
Supported programming languagesC#
C++
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBaseFixed-grid hypercubesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBaseReal-time block device replication (DRBD)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlUsers with fine-grained authorization conceptyesno

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More resources
SiteWhereSpaceTimeSpark SQL
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