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DBMS > Blueflood vs. SiteWhere vs. Spark SQL vs. StarRocks

System Properties Comparison Blueflood vs. SiteWhere vs. Spark SQL vs. StarRocks

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonSiteWhere  Xexclude from comparisonSpark SQL  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraM2M integration platform for persisting/querying time series dataSpark SQL is a component on top of 'Spark Core' for structured data processingAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websiteblueflood.iogithub.com/­sitewhere/­sitewherespark.apache.org/­sqlwww.starrocks.io
Technical documentationgithub.com/­rax-maas/­blueflood/­wikisitewhere1.sitewhere.io/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperRackspaceSiteWhereApache Software FoundationThe Linux Foundation infosince Feb 2023
Initial release2013201020142020
Current release3.5.0 ( 2.13), September 20232.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScalaC++, Java
Server operating systemsLinux
OS X
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemepredefined schemepredefined schemeyesyes
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 indexesnononoyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP RESTHTTP RESTJDBC
ODBC
JDBC
MySQL protocol
Supported programming languagesJava
Python
R
Scala
Java
Server-side scripts infoStored proceduresnonouser defined functions
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infobased on HBaseyes, utilizing Spark Corehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlnoUsers with fine-grained authorization conceptnoRole based access control and fine grained access rights

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More resources
BluefloodSiteWhereSpark SQLStarRocks
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