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DBMS > Blueflood vs. Citus vs. Kyligence Enterprise vs. Spark SQL

System Properties Comparison Blueflood vs. Citus vs. Kyligence Enterprise vs. Spark SQL

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonCitus  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA distributed analytics engine for big data, built on top of Apache KylinSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteblueflood.iowww.citusdata.comkyligence.io/­kyligence-enterprisespark.apache.org/­sql
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.citusdata.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRackspaceKyligence, Inc.Apache Software Foundation
Initial release2013201020162014
Current release8.1, December 20183.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL, commercial license also availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaScala
Server operating systemsLinux
OS X
LinuxLinuxLinux
OS X
Windows
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.noyes infospecific XML type available, but no XML query functionalitynono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsANSI SQL for queries (using Apache Calcite)SQL-like DML and DDL statements
APIs and other access methodsHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
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 integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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 controlnofine grained access rights according to SQL-standardno

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More resources
BluefloodCitusKyligence EnterpriseSpark SQL
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