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

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

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonReductStore  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraA distributed analytics engine for big data, built on top of Apache KylinDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteblueflood.iokyligence.io/­kyligence-enterprisegithub.com/­reductstore
www.reduct.store
spark.apache.org/­sql
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.reduct.store/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRackspaceKyligence, Inc.ReductStore LLCApache Software Foundation
Initial release2013201620232014
Current release1.9, March 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBusiness Source License 1.1Open 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 languageJavaJavaC++, RustScala
Server operating systemsLinux
OS X
LinuxDocker
Linux
macOS
Windows
Linux
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 indexesnoyesno
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)SQL-like DML and DDL statements
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP API
HTTP APIJDBC
ODBC
Supported programming languagesC++
JavaScript (Node.js)
Python
Rust
Java
Python
R
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrayes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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 controlnono

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More resources
BluefloodKyligence EnterpriseReductStoreSpark SQL
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